dblp: Nizar Bouguila
https://dblp.org/pid/43/2204.html
dblp person page RSS feedThu, 07 Nov 2024 21:33:50 +0100en-USdaily1released under the CC0 1.0 licensedblp@dagstuhl.de (dblp team)dblp@dagstuhl.de (dblp team)Computers/Computer_Science/Publications/Bibliographieshttp://www.rssboard.org/rss-specificationhttps://dblp.org/img/logo.144x51.pngdblp: Nizar Bouguilahttps://dblp.org/pid/43/2204.html14451A scaled dirichlet-based predictive model for occupancy estimation in smart buildings.https://doi.org/10.1007/s10489-024-05543-6Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila: A scaled dirichlet-based predictive model for occupancy estimation in smart buildings.Appl. Intell.54(11-12): 6981-6996 (2024)]]>https://dblp.org/rec/journals/apin/GuoAFB24Sat, 01 Jun 2024 01:00:00 +0200Unveiling hidden factors: explainable AI for feature boosting in speech emotion recognition.https://doi.org/10.1007/s10489-024-05536-5Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara: Unveiling hidden factors: explainable AI for feature boosting in speech emotion recognition.Appl. Intell.54(11-12): 7046-7069 (2024)]]>https://dblp.org/rec/journals/apin/NfissiBBM24Sat, 01 Jun 2024 01:00:00 +0200Novel approach for ECG separation using adaptive constrained IVABMGGMM.https://doi.org/10.1016/j.dsp.2024.104476Ali Algumaei, Muhammad Azam, Nizar Bouguila: Novel approach for ECG separation using adaptive constrained IVABMGGMM.Digit. Signal Process.149: 104476 (2024)]]>https://dblp.org/rec/journals/dsp/AlgumaeiAB24Mon, 01 Jan 2024 00:00:00 +0100Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications.https://doi.org/10.1016/j.eswa.2023.121720Zhiwen Luo, Manar Amayri, Wentao Fan, Koffi Eddy Ihou, Nizar Bouguila: Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications.Expert Syst. Appl.238(Part A): 121720 (2024)]]>https://dblp.org/rec/journals/eswa/LuoAFIB24Fri, 01 Mar 2024 00:00:00 +0100Neural Architecture Search for Anomaly Detection in Time-Series Data of Smart Buildings: A Reinforcement Learning Approach for Optimal Autoencoder Design.https://doi.org/10.1109/JIOT.2024.3360882Maher Dissem, Manar Amayri, Nizar Bouguila: Neural Architecture Search for Anomaly Detection in Time-Series Data of Smart Buildings: A Reinforcement Learning Approach for Optimal Autoencoder Design.IEEE Internet Things J.11(10): 18059-18073 (2024)]]>https://dblp.org/rec/journals/iotj/DissemAB24Wed, 01 May 2024 01:00:00 +0200Probabilistic rotation modeling based on directional mixture density networks.https://doi.org/10.1016/j.ins.2024.120231Lidan Zeng, Wentao Fan, Nizar Bouguila: Probabilistic rotation modeling based on directional mixture density networks.Inf. Sci.662: 120231 (2024)]]>https://dblp.org/rec/journals/isci/ZengFB24Mon, 01 Jan 2024 00:00:00 +0100Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation.https://doi.org/10.1007/s12652-024-04814-xSoudabeh Tabarsaii, Manar Amayri, Nizar Bouguila, Ursula Eicker: Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation.J. Ambient Intell. Humaniz. Comput.15(9): 3359-3378 (2024)]]>https://dblp.org/rec/journals/jaihc/TabarsaiiABE24Sun, 01 Sep 2024 01:00:00 +0200.FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images.https://doi.org/10.3390/jimaging10030071Sneha Paul, Zachary Patterson, Nizar Bouguila: .FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images.J. Imaging10(3): 71 (2024)]]>https://dblp.org/rec/journals/jimaging/PaulPB24Fri, 01 Mar 2024 00:00:00 +0100Big topic modeling based on a two-level hierarchical latent Beta-Liouville allocation for large-scale data and parameter streaming.https://doi.org/10.1007/s10044-024-01213-yKoffi Eddy Ihou, Nizar Bouguila: Big topic modeling based on a two-level hierarchical latent Beta-Liouville allocation for large-scale data and parameter streaming.Pattern Anal. Appl.27(1): 20 (2024)]]>https://dblp.org/rec/journals/paa/IhouB24Fri, 01 Mar 2024 00:00:00 +0100Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions.https://doi.org/10.1007/s10044-024-01341-5Ons Bouarada, Muhammad Azam, Manar Amayri, Nizar Bouguila: Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions.Pattern Anal. Appl.27(4): 117 (2024)]]>https://dblp.org/rec/journals/paa/BouaradaAAB24Sun, 01 Dec 2024 00:00:00 +0100A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder.https://doi.org/10.1016/j.patcog.2023.110037Akinlolu Oluwabusayo Ojo, Nizar Bouguila: A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder.Pattern Recognit.146: 110037 (2024)]]>https://dblp.org/rec/journals/pr/OjoB24Thu, 01 Feb 2024 00:00:00 +0100Affinity-Driven Transfer Learning for Load Forecasting.https://doi.org/10.3390/s24175802Ahmed Rebei, Manar Amayri, Nizar Bouguila: Affinity-Driven Transfer Learning for Load Forecasting.Sensors24(17): 5802 (2024)]]>https://dblp.org/rec/journals/sensors/RebeiAB24Sun, 01 Sep 2024 01:00:00 +0200Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers.https://doi.org/10.1109/TASE.2023.3331347Viet Tra, Manar Amayri, Nizar Bouguila: Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers.IEEE Trans Autom. Sci. Eng.21(4): 6787-6803 (2024)]]>https://dblp.org/rec/journals/tase/TraAB24Tue, 01 Oct 2024 01:00:00 +0200FSNet: A Hybrid Model for Seasonal Forecasting.https://doi.org/10.1109/TETCI.2023.3290050Ahmed Rebei, Manar Amayri, Nizar Bouguila: FSNet: A Hybrid Model for Seasonal Forecasting.IEEE Trans. Emerg. Top. Comput. Intell.8(2): 1167-1180 (2024)]]>https://dblp.org/rec/journals/tetci/RebeiAB24Mon, 01 Apr 2024 01:00:00 +0200Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management.https://doi.org/10.1145/3653980Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila: Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management.ACM Trans. Intell. Syst. Technol.15(4): 64:1-64:26 (2024)]]>https://dblp.org/rec/journals/tist/AlBazzazAAB24Thu, 01 Aug 2024 01:00:00 +0200Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis.https://doi.org/10.1109/TNNLS.2022.3208202Wentao Fan, Lin Yang, Nizar Bouguila: Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis.IEEE Trans. Neural Networks Learn. Syst.35(4): 5566-5576 (2024)]]>https://dblp.org/rec/journals/tnn/FanYB24Mon, 01 Apr 2024 01:00:00 +0200DualMLP: a two-stream fusion model for 3D point cloud classification.https://doi.org/10.1007/s00371-023-03114-3Sneha Paul, Zachary Patterson, Nizar Bouguila: DualMLP: a two-stream fusion model for 3D point cloud classification.Vis. Comput.40(8): 5435-5449 (2024)]]>https://dblp.org/rec/journals/vc/PaulPB24Thu, 01 Aug 2024 01:00:00 +0200Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data.https://doi.org/10.1007/978-3-031-71602-7_5Oussama Sghaier, Manar Amayri, Nizar Bouguila: Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data.ANNPR2024: 49-60]]>https://dblp.org/rec/conf/annpr/SghaierAB24Mon, 01 Jan 2024 00:00:00 +0100VAeViT: Fusing Multi-views for Complete 3D Object Recognition.https://doi.org/10.1007/978-3-031-71602-7_16Ahmed Yasser Eita, Hafsa Ennajari, Akinlolu Oluwabusayo Ojo, Nizar Bouguila: VAeViT: Fusing Multi-views for Complete 3D Object Recognition.ANNPR2024: 183-194]]>https://dblp.org/rec/conf/annpr/EitaEOB24Mon, 01 Jan 2024 00:00:00 +0100Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers.https://doi.org/10.1007/978-3-031-71602-7_22Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara: Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers.ANNPR2024: 256-268]]>https://dblp.org/rec/conf/annpr/NfissiBBM24Mon, 01 Jan 2024 00:00:00 +0100Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM.https://doi.org/10.1109/ATSIP62566.2024.10638937Ali Algumaei, Muhammad Azam, Nizar Bouguila: Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM.ATSIP2024: 65-70]]>https://dblp.org/rec/conf/atsip/AlgumaeiAB24Mon, 01 Jan 2024 00:00:00 +0100Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP).https://doi.org/10.1109/CCNC51664.2024.10454743Maher Dissem, Manar Amayri, Nizar Bouguila: Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP).CCNC2024: 202-205]]>https://dblp.org/rec/conf/ccnc/DissemAB24Mon, 01 Jan 2024 00:00:00 +0100A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework.https://doi.org/10.32473/flairs.37.1.135263Fares Alkhawaja, Manar Amayri, Nizar Bouguila: A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework.FLAIRS2024]]>https://dblp.org/rec/conf/flairs/AlkhawajaAB24Mon, 01 Jan 2024 00:00:00 +0100Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture.https://doi.org/10.32473/flairs.37.1.135262Fares Alkhawaja, Manar Amayri, Nizar Bouguila: Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture.FLAIRS2024]]>https://dblp.org/rec/conf/flairs/AlkhawajaAB24aMon, 01 Jan 2024 00:00:00 +0100Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data.https://doi.org/10.32473/flairs.37.1.135043Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila: Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data.FLAIRS2024]]>https://dblp.org/rec/conf/flairs/GhadimiEB24Mon, 01 Jan 2024 00:00:00 +0100Generalizing Conditional Naive Bayes Model.https://doi.org/10.5220/0012524000003690Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila: Generalizing Conditional Naive Bayes Model.ICEIS (1)2024: 163-171]]>https://dblp.org/rec/conf/iceis/YazdiNB24Mon, 01 Jan 2024 00:00:00 +0100Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring.https://doi.org/10.1109/ICHMS59971.2024.10555711Skander Chouchene, Manar Amayri, Nizar Bouguila: Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring.ICHMS2024: 1-6]]>https://dblp.org/rec/conf/ichms/ChoucheneAB24Mon, 01 Jan 2024 00:00:00 +0100PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm.https://doi.org/10.5220/0012488500003654Zahra Golpayegani, Nizar Bouguila: PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm.ICPRAM2024: 886-893]]>https://dblp.org/rec/conf/icpram/GolpayeganiB24Mon, 01 Jan 2024 00:00:00 +0100A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera.https://doi.org/10.1109/ICSC59802.2024.00011Pardis Ghaziamin, Kairavi Bajaj, Nizar Bouguila, Zachary Patterson: A Privacy-Preserving Edge Computing Solution for Real-Time Passenger Counting at Bus Stops using Overhead Fisheye Camera.ICSC2024: 25-32]]>https://dblp.org/rec/conf/semco/GhaziaminBBP24Mon, 01 Jan 2024 00:00:00 +0100Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis.https://doi.org/10.1109/ICSC59802.2024.00012Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara: Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis.ICSC2024: 33-40]]>https://dblp.org/rec/conf/semco/NfissiBBM24Mon, 01 Jan 2024 00:00:00 +0100Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting.https://doi.org/10.5220/0012624800003714Farnaz Kashefinishabouri, Nizar Bouguila, Zachary Patterson: Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting.SMARTGREENS2024: 49-56]]>https://dblp.org/rec/conf/smartgreens/Kashefinishabouri24Mon, 01 Jan 2024 00:00:00 +0100Iterative Feature Boosting for Explainable Speech Emotion Recognition.https://doi.org/10.48550/arXiv.2405.20172Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara: Iterative Feature Boosting for Explainable Speech Emotion Recognition.CoRRabs/2405.20172 (2024)]]>https://dblp.org/rec/journals/corr/abs-2405-20172Mon, 01 Jan 2024 00:00:00 +0100Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition.https://doi.org/10.48550/arXiv.2406.01624Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara: Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition.CoRRabs/2406.01624 (2024)]]>https://dblp.org/rec/journals/corr/abs-2406-01624Mon, 01 Jan 2024 00:00:00 +0100Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness.https://doi.org/10.48550/arXiv.2406.05006Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila: Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness.CoRRabs/2406.05006 (2024)]]>https://dblp.org/rec/journals/corr/abs-2406-05006Mon, 01 Jan 2024 00:00:00 +0100PatchSVD: A Non-uniform SVD-based Image Compression Algorithm.https://doi.org/10.48550/arXiv.2406.05129Zahra Golpayegani, Nizar Bouguila: PatchSVD: A Non-uniform SVD-based Image Compression Algorithm.CoRRabs/2406.05129 (2024)]]>https://dblp.org/rec/journals/corr/abs-2406-05129Mon, 01 Jan 2024 00:00:00 +0100Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data.https://doi.org/10.48550/arXiv.2409.13977Sneha Paul, Zachary Patterson, Nizar Bouguila: Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data.CoRRabs/2409.13977 (2024)]]>https://dblp.org/rec/journals/corr/abs-2409-13977Mon, 01 Jan 2024 00:00:00 +0100On smoothing and scaling language model for sentiment based information retrieval.https://doi.org/10.1007/s11634-022-00522-6Fatma Najar, Nizar Bouguila: On smoothing and scaling language model for sentiment based information retrieval.Adv. Data Anal. Classif.17(3): 725-744 (2023)]]>https://dblp.org/rec/journals/adac/NajarB23Fri, 01 Sep 2023 01:00:00 +0200Continuous image anomaly detection based on contrastive lifelong learning.https://doi.org/10.1007/s10489-022-04401-7Wentao Fan, Weimin Shangguan, Nizar Bouguila: Continuous image anomaly detection based on contrastive lifelong learning.Appl. Intell.53(14): 17693-17707 (2023)]]>https://dblp.org/rec/journals/apin/FanSB23Sat, 01 Jul 2023 01:00:00 +0200Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications.https://doi.org/10.1007/s10489-022-04378-3Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila: Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications.Appl. Intell.53(14): 17824-17848 (2023)]]>https://dblp.org/rec/journals/apin/LuoAFB23Sat, 01 Jul 2023 01:00:00 +0200Unsupervised nested Dirichlet finite mixture model for clustering.https://doi.org/10.1007/s10489-023-04888-8Fares Alkhawaja, Nizar Bouguila: Unsupervised nested Dirichlet finite mixture model for clustering.Appl. Intell.53(21): 25232-25258 (2023)]]>https://dblp.org/rec/journals/apin/AlkhawajaB23Wed, 01 Nov 2023 00:00:00 +0100Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications.https://doi.org/10.1080/01969722.2022.2062850Sami Bourouis, Nizar Bouguila: Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications.Cybern. Syst.54(4): 474-498 (2023)]]>https://dblp.org/rec/journals/cas/BourouisB23Mon, 01 May 2023 01:00:00 +0200Online short text clustering using infinite extensions of discrete mixture models.https://doi.org/10.1111/coin.12593Samar Hannachi, Fatma Najar, Hafsa Ennajari, Nizar Bouguila: Online short text clustering using infinite extensions of discrete mixture models.Comput. Intell.39(5): 759-782 (2023)]]>https://dblp.org/rec/journals/ci/HannachiNEB23Sun, 01 Oct 2023 01:00:00 +0200ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models.https://doi.org/10.1016/j.engappai.2023.106345Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila: ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models.Eng. Appl. Artif. Intell.123(Part B): 106345 (2023)]]>https://dblp.org/rec/journals/eaai/Algumaei0AB23Sun, 01 Jan 2023 00:00:00 +0100Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation.https://doi.org/10.1111/exsy.13176Michael Osadebey, Marius Pedersen, Meeta Kalra, Dag Waaler, Nizar Bouguila: Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation.Expert Syst. J. Knowl. Eng.40(3) (2023)]]>https://dblp.org/rec/journals/es/OsadebeyPKWB23Wed, 01 Mar 2023 00:00:00 +0100Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data.https://doi.org/10.1109/JIOT.2023.3289337Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila: Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data.IEEE Internet Things J.10(21): 18876-18889 (2023)]]>https://dblp.org/rec/journals/iotj/GuoAFB23Wed, 01 Nov 2023 00:00:00 +0100Occupancy estimation in smart buildings using predictive modeling in imbalanced domains.https://doi.org/10.1007/s12652-022-04359-xJiaxun Guo, Manar Amayri, Fatma Najar, Wentao Fan, Nizar Bouguila: Occupancy estimation in smart buildings using predictive modeling in imbalanced domains.J. Ambient Intell. Humaniz. Comput.14(8): 10917-10929 (2023)]]>https://dblp.org/rec/journals/jaihc/GuoANFB23Sun, 01 Jan 2023 00:00:00 +0100Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration.https://doi.org/10.3390/jimaging9090179Bingwei Ge, Fatma Najar, Nizar Bouguila: Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration.J. Imaging9(9): 179 (2023)]]>https://dblp.org/rec/journals/jimaging/GeNB23Sun, 01 Jan 2023 00:00:00 +0100Expectation propagation learning of finite and infinite Gamma mixture models and its applications.https://doi.org/10.1007/s11042-023-14666-wSami Bourouis, Nizar Bouguila: Expectation propagation learning of finite and infinite Gamma mixture models and its applications.Multim. Tools Appl.82(21): 33267-33284 (2023)]]>https://dblp.org/rec/journals/mta/BourouisB23Fri, 01 Sep 2023 01:00:00 +0200A novel minorization-maximization framework for simultaneous feature selection and clustering of high-dimensional count data.https://doi.org/10.1007/s10044-022-01094-zNuha Zamzami, Nizar Bouguila: A novel minorization-maximization framework for simultaneous feature selection and clustering of high-dimensional count data.Pattern Anal. Appl.26(1): 91-106 (2023)]]>https://dblp.org/rec/journals/paa/ZamzamiB23Wed, 01 Feb 2023 00:00:00 +0100Bounded multivariate generalized Gaussian mixture model using ICA and IVA.https://doi.org/10.1007/s10044-023-01148-wAli Algumaei, Muhammad Azam, Fatma Najar, Nizar Bouguila: Bounded multivariate generalized Gaussian mixture model using ICA and IVA.Pattern Anal. Appl.26(3): 1223-1252 (2023)]]>https://dblp.org/rec/journals/paa/AlgumaeiANB23Tue, 01 Aug 2023 01:00:00 +0200UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment.https://doi.org/10.3390/rs15143558Hela Jemaa, Wassim Bouachir, Brigitte Leblon, Armand LaRocque, Ata Haddadi, Nizar Bouguila: UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment.Remote. Sens.15(14): 3558 (2023)]]>https://dblp.org/rec/journals/remotesensing/JemaaBLLHB23Sat, 01 Jul 2023 01:00:00 +0200Human Activity Recognition with an HMM-Based Generative Model.https://doi.org/10.3390/s23031390Narges Manouchehri, Nizar Bouguila: Human Activity Recognition with an HMM-Based Generative Model.Sensors23(3): 1390 (2023)]]>https://dblp.org/rec/journals/sensors/ManouchehriB23Wed, 01 Feb 2023 00:00:00 +0100Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.https://doi.org/10.3390/s23198296Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila: Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.Sensors23(19): 8296 (2023)]]>https://dblp.org/rec/journals/sensors/AlBazzazAAB23Sun, 01 Oct 2023 01:00:00 +0200Automatic Counting of Planting Microsites via Local Visual Detection and Global Count Estimation.https://doi.org/10.1109/TETCI.2023.3272004Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila: Automatic Counting of Planting Microsites via Local Visual Detection and Global Count Estimation.IEEE Trans. Emerg. Top. Comput. Intell.7(6): 1746-1760 (2023)]]>https://dblp.org/rec/journals/tetci/ZgarenBB23Fri, 01 Dec 2023 00:00:00 +0100Graph Neural Networks for Intelligent Transportation Systems: A Survey.https://doi.org/10.1109/TITS.2023.3257759Saeed Rahmani, Asiye Baghbani, Nizar Bouguila, Zachary Patterson: Graph Neural Networks for Intelligent Transportation Systems: A Survey.IEEE Trans. Intell. Transp. Syst.24(8): 8846-8885 (2023)]]>https://dblp.org/rec/journals/tits/RahmaniBBP23Tue, 01 Aug 2023 01:00:00 +0200Bayesian Matrix Factorization for Semibounded Data.https://doi.org/10.1109/TNNLS.2021.3111824Oumayma Dalhoumi, Nizar Bouguila, Manar Amayri, Wentao Fan: Bayesian Matrix Factorization for Semibounded Data.IEEE Trans. Neural Networks Learn. Syst.34(6): 3111-3123 (2023)]]>https://dblp.org/rec/journals/tnn/DalhoumiBAF23Thu, 01 Jun 2023 01:00:00 +0200Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling.https://doi.org/10.1109/TNNLS.2021.3112045Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar: Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling.IEEE Trans. Neural Networks Learn. Syst.34(7): 3609-3623 (2023)]]>https://dblp.org/rec/journals/tnn/EnnajariBB23Sat, 01 Jul 2023 01:00:00 +0200Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings.https://doi.org/10.1109/TNNLS.2021.3135460Lin Yang, Wentao Fan, Nizar Bouguila: Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings.IEEE Trans. Neural Networks Learn. Syst.34(9): 6303-6312 (2023)]]>https://dblp.org/rec/journals/tnn/YangFB23Fri, 01 Sep 2023 01:00:00 +0200Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM.https://doi.org/10.1007/978-3-031-42430-4_12Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila: Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM.ACIIDS (Companion)2023: 145-156]]>https://dblp.org/rec/conf/aciids/Al-Bazzaz0AB23Sun, 01 Jan 2023 00:00:00 +0100Novel Topic Models for Parallel Topics Extraction from Multilingual Text.https://doi.org/10.1007/978-981-99-5837-5_25Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila: Novel Topic Models for Parallel Topics Extraction from Multilingual Text.ACIIDS (2)2023: 297-309]]>https://dblp.org/rec/conf/aciids/MaanicshahMAB23Sun, 01 Jan 2023 00:00:00 +0100Finite Libby-Novick Beta Mixture Model: An MML-Based Approach.https://doi.org/10.1007/978-981-99-5834-4_30Niloufar Samiee, Narges Manouchehri, Nizar Bouguila: Finite Libby-Novick Beta Mixture Model: An MML-Based Approach.ACIIDS (1)2023: 371-383]]>https://dblp.org/rec/conf/aciids/SamieeMB23Sun, 01 Jan 2023 00:00:00 +0100Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context.https://doi.org/10.1145/3638209.3638211Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila, Frédéric Wurtz, Benoit Delinchant: Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context.CIIS2023: 7-13]]>https://dblp.org/rec/conf/ciis/AkbarABWD23Sun, 01 Jan 2023 00:00:00 +0100Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models.https://doi.org/10.1145/3638209.3638218Mohamed Bouzid, Manar Amayri, Nizar Bouguila: Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models.CIIS2023: 52-58]]>https://dblp.org/rec/conf/ciis/BouzidAB23Sun, 01 Jan 2023 00:00:00 +0100Sentiment Analysis Using Smoothed Probabilistic-Based Models.https://doi.org/10.1109/CoDIT58514.2023.10284166Fatma Najar, Nizar Bouguila: Sentiment Analysis Using Smoothed Probabilistic-Based Models.CoDIT2023: 1185-1190]]>https://dblp.org/rec/conf/codit/NajarB23Sun, 01 Jan 2023 00:00:00 +0100A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection.https://doi.org/10.1109/CoDIT58514.2023.10284408Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila: A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection.CoDIT2023: 2055-2060]]>https://dblp.org/rec/conf/codit/ForouzanfarMB23Sun, 01 Jan 2023 00:00:00 +0100CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud.https://doi.org/10.1109/CRV60082.2023.00042Sneha Paul, Zachary Patterson, Nizar Bouguila: CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud.CRV2023: 273-280]]>https://dblp.org/rec/conf/crv/PaulPB23Sun, 01 Jan 2023 00:00:00 +0100Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness.https://doi.org/10.1109/CRV60082.2023.00043Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila: Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness.CRV2023: 281-287]]>https://dblp.org/rec/conf/crv/GolpayeganiSB23Sun, 01 Jan 2023 00:00:00 +0100Tree Health Assessment from UAV Images: Improving Object Detection and Classification Using Hard Negative Mining and Semi-Supervised Autoencoder.https://doi.org/10.1109/CRV60082.2023.00047Hela Jemaa, Wassim Bouachir, Brigitte Leblon, Armand LaRocque, Ata Haddadi, Nizar Bouguila: Tree Health Assessment from UAV Images: Improving Object Detection and Classification Using Hard Negative Mining and Semi-Supervised Autoencoder.CRV2023: 312-319]]>https://dblp.org/rec/conf/crv/JemaaBLLHB23Sun, 01 Jan 2023 00:00:00 +0100MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images.https://doi.org/10.1109/CVPRW59228.2023.00056Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila, Riad I. Hammoud: MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images.CVPR Workshops2023: 497-506]]>https://dblp.org/rec/conf/cvpr/ZgarenBBH23Sun, 01 Jan 2023 00:00:00 +0100A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting.https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00115Hamdi Barkous, Manar Amayri, Nizar Bouguila: A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting.HPCC/DSS/SmartCity/DependSys2023: 795-800]]>https://dblp.org/rec/conf/hpcc/BarkousAB23Sun, 01 Jan 2023 00:00:00 +0100Generalized Dirichlet-Multinomial Regression: Leveraging Arbitrary Features for Topic Modelling.https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00128Pantea Koochemeshkian, Nizar Bouguila: Generalized Dirichlet-Multinomial Regression: Leveraging Arbitrary Features for Topic Modelling.HPCC/DSS/SmartCity/DependSys2023: 884-891]]>https://dblp.org/rec/conf/hpcc/KoochemeshkianB23Sun, 01 Jan 2023 00:00:00 +0100Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions.https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00134Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila, Manar Amayri: Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions.HPCC/DSS/SmartCity/DependSys2023: 926-933]]>https://dblp.org/rec/conf/hpcc/GhadimiEBA23Sun, 01 Jan 2023 00:00:00 +0100Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model.https://doi.org/10.1007/978-3-031-42508-0_29Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila: Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model.ICAISC (2)2023: 320-330]]>https://dblp.org/rec/conf/icaisc/ForouzanfarMB23Sun, 01 Jan 2023 00:00:00 +0100Novel Topic Models for Content Based Recommender Systems.https://doi.org/10.5220/0011826700003467Kamal Maanicshah, Manar Amayri, Nizar Bouguila: Novel Topic Models for Content Based Recommender Systems.ICEIS (1)2023: 138-145]]>https://dblp.org/rec/conf/iceis/MaanicshahAB23Sun, 01 Jan 2023 00:00:00 +0100Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers.https://doi.org/10.1145/3591569.3591605Viet Tra, Hussein Al-Bazzaz, Manar Amayri, Nizar Bouguila: Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers.ICIIT2023: 203-208]]>https://dblp.org/rec/conf/iciit/TraAAB23Sun, 01 Jan 2023 00:00:00 +0100Human Age Prediction Based on Brain MRI Using Density-Based Regression.https://doi.org/10.1109/ICIT58465.2023.10143160Ornela Bregu, Nuha Zamzami, Nizar Bouguila: Human Age Prediction Based on Brain MRI Using Density-Based Regression.ICIT2023: 1-6]]>https://dblp.org/rec/conf/icit2/BreguZB23Sun, 01 Jan 2023 00:00:00 +01003D Multi-Views Object Classification Based on a Fully Generalized Dirichlet Allocation Model.https://doi.org/10.1109/ICIT58465.2023.10143102Ahmed Yasser Eita, Hafsa Ennajari, Nizar Bouguila: 3D Multi-Views Object Classification Based on a Fully Generalized Dirichlet Allocation Model.ICIT2023: 1-7]]>https://dblp.org/rec/conf/icit2/EitaEB23Sun, 01 Jan 2023 00:00:00 +0100Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications.https://doi.org/10.1109/ICIT58465.2023.10143109Niloufar Samiee, Narges Manouchehri, Nizar Bouguila: Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications.ICIT2023: 1-7]]>https://dblp.org/rec/conf/icit2/SamieeMB23Sun, 01 Jan 2023 00:00:00 +0100Semantic Segmentation Using Transfer Learning on Fisheye Images.https://doi.org/10.1109/ICMLA58977.2023.00068Sneha Paul, Zachary Patterson, Nizar Bouguila: Semantic Segmentation Using Transfer Learning on Fisheye Images.ICMLA2023: 445-452]]>https://dblp.org/rec/conf/icmla/PaulPB23Sun, 01 Jan 2023 00:00:00 +0100Iterative Feature Boosting for Explainable Speech Emotion Recognition.https://doi.org/10.1109/ICMLA58977.2023.00081Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara: Iterative Feature Boosting for Explainable Speech Emotion Recognition.ICMLA2023: 543-549]]>https://dblp.org/rec/conf/icmla/NfissiBBM23Sun, 01 Jan 2023 00:00:00 +0100Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions.https://doi.org/10.1109/ICMLA58977.2023.00292Pantea Koochemeshkian, Nizar Bouguila: Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions.ICMLA2023: 1928-1935]]>https://dblp.org/rec/conf/icmla/KoochemeshkianB23Sun, 01 Jan 2023 00:00:00 +0100Invertible Neural Network-Based Video Compression.https://doi.org/10.5220/0011807600003411Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila: Invertible Neural Network-Based Video Compression.ICPRAM2023: 558-564]]>https://dblp.org/rec/conf/icpram/MontajabiGB23Sun, 01 Jan 2023 00:00:00 +0100Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach.https://doi.org/10.1109/ICTAI59109.2023.00078Ornela Bregu, Nizar Bouguila: Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach.ICTAI2023: 491-495]]>https://dblp.org/rec/conf/ictai/BreguB23Sun, 01 Jan 2023 00:00:00 +0100A Selective Supervised Latent Beta-Liouville Allocation for Document Classification.https://doi.org/10.1007/978-3-031-36819-6_4Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila: A Selective Supervised Latent Beta-Liouville Allocation for Document Classification.IEA/AIE (1)2023: 37-48]]>https://dblp.org/rec/conf/ieaaie/LuoAFB23Sun, 01 Jan 2023 00:00:00 +0100Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring.https://doi.org/10.1007/978-3-031-36822-6_5Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila: Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring.IEA/AIE (2)2023: 59-65]]>https://dblp.org/rec/conf/ieaaie/AkbarAB23Sun, 01 Jan 2023 00:00:00 +0100Generalized Probabilistic Clustering Projection Models for Discrete Data.https://doi.org/10.1109/ISNCC58260.2023.10323873Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila: Generalized Probabilistic Clustering Projection Models for Discrete Data.ISNCC2023: 1-7]]>https://dblp.org/rec/conf/isncc/YazdiNB23Sun, 01 Jan 2023 00:00:00 +0100Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks.https://doi.org/10.1109/ITSC57777.2023.10422701Asiye Baghbani, Saeed Rahmani, Nizar Bouguila, Zachary Patterson: Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks.ITSC2023: 3073-3078]]>https://dblp.org/rec/conf/itsc/BaghbaniRBP23Sun, 01 Jan 2023 00:00:00 +0100Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting.https://doi.org/10.1109/ITSC57777.2023.10422353Mohamed Chaaben, Asiye Baghbani, Nizar Bouguila, Zachary Patterson: Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting.ITSC2023: 3116-3121]]>https://dblp.org/rec/conf/itsc/ChaabenBBP23Sun, 01 Jan 2023 00:00:00 +0100Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications.https://doi.org/10.1145/3555776.3577650Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila: Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications.SAC2023: 1143-1150]]>https://dblp.org/rec/conf/sac/ForouzanfarMB23Sun, 01 Jan 2023 00:00:00 +0100HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings.https://doi.org/10.5220/0011715200003491Fatemeh Rezapoor Nikroo, Manar Amayri, Nizar Bouguila: HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings.SMARTGREENS2023: 81-88]]>https://dblp.org/rec/conf/smartgreens/NikrooAB23Sun, 01 Jan 2023 00:00:00 +0100Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations.https://doi.org/10.1109/SMC53992.2023.10394282Oussama Sghaier, Manar Amayri, Nizar Bouguila: Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations.SMC2023: 3428-3433]]>https://dblp.org/rec/conf/smc/SghaierAB23Sun, 01 Jan 2023 00:00:00 +0100Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support.https://doi.org/10.1109/SMC53992.2023.10394608Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila: Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support.SMC2023: 3446-3451]]>https://dblp.org/rec/conf/smc/Al-BazzazAAB23Sun, 01 Jan 2023 00:00:00 +0100Explainable Robust Smart Meter Data Clustering for Improved Energy Management.https://doi.org/10.1109/SMC53992.2023.10394230Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila: Explainable Robust Smart Meter Data Clustering for Improved Energy Management.SMC2023: 5194-5199]]>https://dblp.org/rec/conf/smc/Al-BazzazAAB23aSun, 01 Jan 2023 00:00:00 +0100Refining Nonparametric Mixture Models with Explainability for Smart Building Applications.https://doi.org/10.1109/SMC53992.2023.10394196Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila: Refining Nonparametric Mixture Models with Explainability for Smart Building Applications.SMC2023: 5212-5217]]>https://dblp.org/rec/conf/smc/Al-BazzazSAB23Sun, 01 Jan 2023 00:00:00 +0100Adaptive Constrained ICAMGGMM: An Improvement Over ICA.https://doi.org/10.1109/SNAMS60348.2023.10375396Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila: Adaptive Constrained ICAMGGMM: An Improvement Over ICA.SNAMS2023: 1-7]]>https://dblp.org/rec/conf/snams/AlgumaeiAAB23Sun, 01 Jan 2023 00:00:00 +0100Automatic counting of planting microsites via local visual detection and global count estimation.https://doi.org/10.48550/arXiv.2311.00796Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila: Automatic counting of planting microsites via local visual detection and global count estimation.CoRRabs/2311.00796 (2023)]]>https://dblp.org/rec/journals/corr/abs-2311-00796Sun, 01 Jan 2023 00:00:00 +0100A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models.https://doi.org/10.1080/08839514.2022.2043526Xuanbo Su, Nuha Zamzami, Nizar Bouguila: A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models.Appl. Artif. Intell.36(1) (2022)]]>https://dblp.org/rec/journals/aai/SuZB22Sat, 01 Jan 2022 00:00:00 +0100Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling.https://doi.org/10.1111/coin.12558Ali Baghdadi, Narges Manouchehri, Zachary Patterson, Wentao Fan, Nizar Bouguila: Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling.Comput. Intell.38(6): 2095-2115 (2022)]]>https://dblp.org/rec/journals/ci/BaghdadiMPFB22Thu, 01 Dec 2022 00:00:00 +0100Plug-and-Play video super-resolution using edge-preserving filtering.https://doi.org/10.1016/j.cviu.2022.103359Vahid Khorasani Ghassab, Nizar Bouguila: Plug-and-Play video super-resolution using edge-preserving filtering.Comput. Vis. Image Underst.216: 103359 (2022)]]>https://dblp.org/rec/journals/cviu/GhassabB22Sat, 01 Jan 2022 00:00:00 +0100Emotion recognition: A smoothed Dirichlet multinomial solution.https://doi.org/10.1016/j.engappai.2021.104542Fatma Najar, Nizar Bouguila: Emotion recognition: A smoothed Dirichlet multinomial solution.Eng. Appl. Artif. Intell.107: 104542 (2022)]]>https://dblp.org/rec/journals/eaai/NajarB22Sat, 01 Jan 2022 00:00:00 +0100Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length.https://doi.org/10.1016/j.eswa.2022.117516Muhammad Azam, Nizar Bouguila: Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length.Expert Syst. Appl.204: 117516 (2022)]]>https://dblp.org/rec/journals/eswa/AzamB22Sat, 01 Jan 2022 00:00:00 +0100A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications.https://doi.org/10.1142/S1793351X22500039Narges Manouchehri, Nizar Bouguila: A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications.Int. J. Semantic Comput.16(3): 449-469 (2022)]]>https://dblp.org/rec/journals/ijsc/ManouchehriB22Sat, 01 Jan 2022 00:00:00 +0100Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling.https://doi.org/10.1016/j.ins.2021.11.083Fatma Najar, Nizar Bouguila: Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling.Inf. Sci.586: 688-703 (2022)]]>https://dblp.org/rec/journals/isci/NajarB22Sat, 01 Jan 2022 00:00:00 +0100Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers.https://doi.org/10.1061/(asce)cp.1943-5487.0001024Ghazaleh Torabi, Amin Hammad, Nizar Bouguila: Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers.J. Comput. Civ. Eng.36(4) (2022)]]>https://dblp.org/rec/journals/jccee/TorabiHB22Sat, 01 Jan 2022 00:00:00 +0100Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations.https://doi.org/10.1016/j.knosys.2022.108671Lin Yang, Wentao Fan, Nizar Bouguila: Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations.Knowl. Based Syst.246: 108671 (2022)]]>https://dblp.org/rec/journals/kbs/YangFB22Sat, 01 Jan 2022 00:00:00 +0100A novel feature selection method using generalized inverted Dirichlet-based HMMs for image categorization.https://doi.org/10.1007/s13042-022-01529-3Rim Nasfi, Nizar Bouguila: A novel feature selection method using generalized inverted Dirichlet-based HMMs for image categorization.Int. J. Mach. Learn. Cybern.13(8): 2365-2381 (2022)]]>https://dblp.org/rec/journals/mlc/NasfiB22Sat, 01 Jan 2022 00:00:00 +0100Content modification of soccer videos using a supervised deep learning framework.https://doi.org/10.1007/s11042-021-11383-0Vahid Khorasani Ghassab, Kamal Maanicshah, Paul Green, Nizar Bouguila: Content modification of soccer videos using a supervised deep learning framework.Multim. Tools Appl.81(1): 481-503 (2022)]]>https://dblp.org/rec/journals/mta/GhassabMGB22Sat, 01 Jan 2022 00:00:00 +0100A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning.https://doi.org/10.1007/s00521-021-06483-9Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson: A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning.Neural Comput. Appl.34(17): 14123-14134 (2022)]]>https://dblp.org/rec/journals/nca/VemuriABP22Sat, 01 Jan 2022 00:00:00 +0100Expectation propagation learning of finite multivariate Beta mixture models and applications.https://doi.org/10.1007/s00521-021-06839-1Narges Manouchehri, Nizar Bouguila, Wentao Fan: Expectation propagation learning of finite multivariate Beta mixture models and applications.Neural Comput. Appl.34(17): 14275-14285 (2022)]]>https://dblp.org/rec/journals/nca/ManouchehriBF22Sat, 01 Jan 2022 00:00:00 +0100Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models.https://doi.org/10.1007/s10044-021-01051-2Bingwei Ge, Nizar Bouguila, Wentao Fan: Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models.Pattern Anal. Appl.25(2): 285-304 (2022)]]>https://dblp.org/rec/journals/paa/GeBF22Sat, 01 Jan 2022 00:00:00 +0100Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions.https://doi.org/10.1109/TPAMI.2021.3128271Wentao Fan, Lin Yang, Nizar Bouguila: Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions.IEEE Trans. Pattern Anal. Mach. Intell.44(12): 9654-9668 (2022)]]>https://dblp.org/rec/journals/pami/FanYB22Sat, 01 Jan 2022 00:00:00 +0100Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures.https://doi.org/10.3390/s22010186Sami Bourouis, Yogesh Pawar, Nizar Bouguila: Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures.Sensors22(1): 186 (2022)]]>https://dblp.org/rec/journals/sensors/BourouisPB22Sat, 01 Jan 2022 00:00:00 +0100Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning.https://doi.org/10.3390/s22093186Omar Bouhamed, Manar Amayri, Nizar Bouguila: Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning.Sensors22(9): 3186 (2022)]]>https://dblp.org/rec/journals/sensors/BouhamedAB22Sat, 01 Jan 2022 00:00:00 +0100Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States.https://doi.org/10.1109/TAI.2021.3120043Fatma Najar, Nizar Bouguila: Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States.IEEE Trans. Artif. Intell.3(5): 685-698 (2022)]]>https://dblp.org/rec/journals/tai/NajarB22Sat, 01 Jan 2022 00:00:00 +0100Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model.https://doi.org/10.1145/3502727Koffi Eddy Ihou, Manar Amayri, Nizar Bouguila: Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model.ACM Trans. Knowl. Discov. Data16(5): 84:1-84:48 (2022)]]>https://dblp.org/rec/journals/tkdd/IhouAB22Sat, 01 Jan 2022 00:00:00 +0100Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions.https://doi.org/10.1109/TNNLS.2020.3027539Nuha Zamzami, Nizar Bouguila: Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions.IEEE Trans. Neural Networks Learn. Syst.33(1): 89-102 (2022)]]>https://dblp.org/rec/journals/tnn/ZamzamiB22Sat, 01 Jan 2022 00:00:00 +0100Clustering Analysis via Deep Generative Models With Mixture Models.https://doi.org/10.1109/TNNLS.2020.3027761Lin Yang, Wentao Fan, Nizar Bouguila: Clustering Analysis via Deep Generative Models With Mixture Models.IEEE Trans. Neural Networks Learn. Syst.33(1): 340-350 (2022)]]>https://dblp.org/rec/journals/tnn/YangFB22Sat, 01 Jan 2022 00:00:00 +0100Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection.https://doi.org/10.1109/TNNLS.2021.3071083Samr Ali, Nizar Bouguila: Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection.IEEE Trans. Neural Networks Learn. Syst.33(10): 5590-5601 (2022)]]>https://dblp.org/rec/journals/tnn/AliB22Sat, 01 Jan 2022 00:00:00 +0100On Ransomware Family Attribution Using Pre-Attack Paranoia Activities.https://doi.org/10.1109/TNSM.2021.3112056Ricardo Misael Ayala Molina, Sadegh Torabi, Khaled Sarieddine, Elias Bou-Harb, Nizar Bouguila, Chadi Assi: On Ransomware Family Attribution Using Pre-Attack Paranoia Activities.IEEE Trans. Netw. Serv. Manag.19(1): 19-36 (2022)]]>https://dblp.org/rec/journals/tnsm/MolinaTSBBA22Sat, 01 Jan 2022 00:00:00 +0100EVOLIoT: A Self-Supervised Contrastive Learning Framework for Detecting and Characterizing Evolving IoT Malware Variants.https://doi.org/10.1145/3488932.3517393Mirabelle Dib, Sadegh Torabi, Elias Bou-Harb, Nizar Bouguila, Chadi Assi: EVOLIoT: A Self-Supervised Contrastive Learning Framework for Detecting and Characterizing Evolving IoT Malware Variants.AsiaCCS2022: 452-466]]>https://dblp.org/rec/conf/asiaccs/DibTBBA22Sat, 01 Jan 2022 00:00:00 +0100Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications.https://doi.org/10.32473/flairs.v35i.130667Narges Manouchehri, Nizar Bouguila: Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications.FLAIRS2022]]>https://dblp.org/rec/conf/flairs/ManouchehriB22Sat, 01 Jan 2022 00:00:00 +0100Explainable K-Means Clustering for Occupancy Estimation.https://doi.org/10.1016/j.procs.2022.07.041Kumar Prabhakaran, Jawher Dridi, Manar Amayri, Nizar Bouguila: Explainable K-Means Clustering for Occupancy Estimation.FNC/MobiSPC/SEIT2022: 326-333]]>https://dblp.org/rec/conf/fnc/PrabhakaranDAB22Sat, 01 Jan 2022 00:00:00 +0100Stochastic Expectation Propagation Learning for Unsupervised Feature Selection.https://doi.org/10.1007/978-3-031-16210-7_55Wentao Fan, Manar Amayri, Nizar Bouguila: Stochastic Expectation Propagation Learning for Unsupervised Feature Selection.ICCCI (CCIS Volume)2022: 674-686]]>https://dblp.org/rec/conf/iccci/FanAB22Sat, 01 Jan 2022 00:00:00 +0100Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection.https://doi.org/10.1109/ICIT48603.2022.10002736Kian Ketabchi, Narges Manouchehri, Nizar Bouguila: Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection.ICIT2022: 1-6]]>https://dblp.org/rec/conf/icit2/KetabchiMB22Sat, 01 Jan 2022 00:00:00 +0100A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications.https://doi.org/10.1109/ICIT48603.2022.10002760Narges Manouchehri, Nizar Bouguila: A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications.ICIT2022: 1-6]]>https://dblp.org/rec/conf/icit2/ManouchehriB22Sat, 01 Jan 2022 00:00:00 +0100Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications.https://doi.org/10.1109/ICIT48603.2022.10002790Narges Manouchehri, Nizar Bouguila: Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications.ICIT2022: 1-6]]>https://dblp.org/rec/conf/icit2/ManouchehriB22aSat, 01 Jan 2022 00:00:00 +0100Indoor Activity Recognition Using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines.https://doi.org/10.1109/ICIT48603.2022.10002767Rim Nasfi, Nizar Bouguila: Indoor Activity Recognition Using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines.ICIT2022: 1-6]]>https://dblp.org/rec/conf/icit2/NasfiB22Sat, 01 Jan 2022 00:00:00 +0100Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures.https://doi.org/10.1109/ICIT48603.2022.10002752Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson: Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures.ICIT2022: 1-6]]>https://dblp.org/rec/conf/icit2/VemuriABP22Sat, 01 Jan 2022 00:00:00 +0100Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction.https://doi.org/10.1109/ICMLA55696.2022.00060Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila: Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction.ICMLA2022: 375-381]]>https://dblp.org/rec/conf/icmla/NateghZBB22Sat, 01 Jan 2022 00:00:00 +0100CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks.https://doi.org/10.1109/ICMLA55696.2022.00116Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara: CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks.ICMLA2022: 699-702]]>https://dblp.org/rec/conf/icmla/NfissiBBM22Sat, 01 Jan 2022 00:00:00 +0100Recurrent Neural Network-Based Video Compression.https://doi.org/10.1109/ICMLA55696.2022.00154Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila: Recurrent Neural Network-Based Video Compression.ICMLA2022: 925-930]]>https://dblp.org/rec/conf/icmla/MontajabiGB22Sat, 01 Jan 2022 00:00:00 +0100Embedded Spherical Topic Models for Supervised Learning.https://doi.org/10.1109/ICPR56361.2022.9956503Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar: Embedded Spherical Topic Models for Supervised Learning.ICPR2022: 1650-1656]]>https://dblp.org/rec/conf/icpr/EnnajariBB22Sat, 01 Jan 2022 00:00:00 +0100A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data.https://doi.org/10.1007/978-3-031-08530-7_36Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila: A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data.IEA/AIE2022: 431-442]]>https://dblp.org/rec/conf/ieaaie/GuoAFB22Sat, 01 Jan 2022 00:00:00 +0100A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions.https://doi.org/10.1109/ISIE51582.2022.9831530Ali Baghdadi, Narges Manouchehri, Nizar Bouguila: A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions.ISIE2022: 168-173]]>https://dblp.org/rec/conf/isie/BaghdadiMB22Sat, 01 Jan 2022 00:00:00 +0100Knowledge-enhanced Spherical Representation Learning for Text Classification.https://doi.org/10.1137/1.9781611977172.72Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar: Knowledge-enhanced Spherical Representation Learning for Text Classification.SDM2022: 639-647]]>https://dblp.org/rec/conf/sdm/EnnajariBB22Sat, 01 Jan 2022 00:00:00 +0100Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data.https://doi.org/10.1109/SSCI51031.2022.10022278Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila: Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data.SSCI2022: 223-230]]>https://dblp.org/rec/conf/ssci/GuoAFB22Sat, 01 Jan 2022 00:00:00 +0100Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model.https://doi.org/10.1109/SSCI51031.2022.10022116Kamal Maanicshah, Manar Amayri, Nizar Bouguila: Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model.SSCI2022: 1143-1148]]>https://dblp.org/rec/conf/ssci/MaanicshahAB22Sat, 01 Jan 2022 00:00:00 +0100Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval.https://doi.org/10.1109/SSCI51031.2022.10022072Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila: Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval.SSCI2022: 1430-1435]]>https://dblp.org/rec/conf/ssci/YazdiNB22Sat, 01 Jan 2022 00:00:00 +0100Interactive Generalized Dirichlet Mixture Allocation Model.https://doi.org/10.1007/978-3-031-23028-8_4Kamal Maanicshah, Manar Amayri, Nizar Bouguila: Interactive Generalized Dirichlet Mixture Allocation Model.S+SSPR2022: 33-42]]>https://dblp.org/rec/conf/sspr/MaanicshahAB22Sat, 01 Jan 2022 00:00:00 +0100Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach.https://doi.org/10.1007/978-3-031-23028-8_8Rim Nasfi, Nizar Bouguila: Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach.S+SSPR2022: 74-83]]>https://dblp.org/rec/conf/sspr/NasfiB22Sat, 01 Jan 2022 00:00:00 +0100Improved Training for 3D Point Cloud Classification.https://doi.org/10.1007/978-3-031-23028-8_26Sneha Paul, Zachary Patterson, Nizar Bouguila: Improved Training for 3D Point Cloud Classification.S+SSPR2022: 253-263]]>https://dblp.org/rec/conf/sspr/PaulPB22Sat, 01 Jan 2022 00:00:00 +0100Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction.https://doi.org/10.48550/arXiv.2209.02608Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila: Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction.CoRRabs/2209.02608 (2022)]]>https://dblp.org/rec/journals/corr/abs-2209-02608Sat, 01 Jan 2022 00:00:00 +0100Efficient Feature Mapping in Classifying Proportional Data.https://doi.org/10.1109/ACCESS.2020.3047536Md. Hafizur Rahman, Nizar Bouguila: Efficient Feature Mapping in Classifying Proportional Data.IEEE Access9: 3712-3724 (2021)]]>https://dblp.org/rec/journals/access/RahmanB21Fri, 01 Jan 2021 00:00:00 +0100A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis.https://doi.org/10.1109/ACCESS.2021.3051758Sami Bourouis, Hassen Sallay, Nizar Bouguila: A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis.IEEE Access9: 13727-13736 (2021)]]>https://dblp.org/rec/journals/access/BourouisSB21Fri, 01 Jan 2021 00:00:00 +0100On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach.https://doi.org/10.1109/ACCESS.2021.3060290Behnam Farsi, Manar Amayri, Nizar Bouguila, Ursula Eicker: On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach.IEEE Access9: 31191-31212 (2021)]]>https://dblp.org/rec/journals/access/FarsiABE21Fri, 01 Jan 2021 00:00:00 +0100Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models.https://doi.org/10.1109/ACCESS.2021.3078670Sami Bourouis, Roobaea Alroobaea, Saeed Rubaiee, Murad Andejany, Fahad M. Almansour, Nizar Bouguila: Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models.IEEE Access9: 71170-71183 (2021)]]>https://dblp.org/rec/journals/access/BourouisARAAB21Fri, 01 Jan 2021 00:00:00 +0100Mixture-based clustering for count data using approximated Fisher Scoring and Minorization-Maximization approaches.https://doi.org/10.1111/coin.12429Ornela Bregu, Nuha Zamzami, Nizar Bouguila: Mixture-based clustering for count data using approximated Fisher Scoring and Minorization-Maximization approaches.Comput. Intell.37(1): 596-620 (2021)]]>https://dblp.org/rec/journals/ci/BreguZB21Fri, 01 Jan 2021 00:00:00 +0100Online Learning of Finite and Infinite Gamma Mixture Models for COVID-19 Detection in Medical Images.https://doi.org/10.3390/computers10010006Hassen Sallay, Sami Bourouis, Nizar Bouguila: Online Learning of Finite and Infinite Gamma Mixture Models for COVID-19 Detection in Medical Images.Comput.10(1): 6 (2021)]]>https://dblp.org/rec/journals/computers/SallayBB21Fri, 01 Jan 2021 00:00:00 +0100Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection.https://doi.org/10.1111/exsy.12688Muhammad Azam, Nizar Bouguila: Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection.Expert Syst. J. Knowl. Eng.38(5) (2021)]]>https://dblp.org/rec/journals/es/AzamB21Fri, 01 Jan 2021 00:00:00 +0100Online variational inference on finite multivariate Beta mixture models for medical applications.https://doi.org/10.1049/ipr2.12154Narges Manouchehri, Meeta Kalra, Nizar Bouguila: Online variational inference on finite multivariate Beta mixture models for medical applications.IET Image Process.15(9): 1869-1882 (2021)]]>https://dblp.org/rec/journals/iet-ipr/ManouchehriKB21Fri, 01 Jan 2021 00:00:00 +0100Nonparametric variational learning of multivariate beta mixture models in medical applications.https://doi.org/10.1002/ima.22506Narges Manouchehri, Nizar Bouguila, Wentao Fan: Nonparametric variational learning of multivariate beta mixture models in medical applications.Int. J. Imaging Syst. Technol.31(1): 128-140 (2021)]]>https://dblp.org/rec/journals/imst/ManouchehriBF21Fri, 01 Jan 2021 00:00:00 +0100Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis.https://doi.org/10.1002/ima.22577Sami Bourouis, Nizar Bouguila: Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis.Int. J. Imaging Syst. Technol.31(4): 1989-2002 (2021)]]>https://dblp.org/rec/journals/imst/BourouisB21Fri, 01 Jan 2021 00:00:00 +0100Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images.https://doi.org/10.3390/jimaging7010007Sami Bourouis, Abdullah Alharbi, Nizar Bouguila: Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images.J. Imaging7(1): 7 (2021)]]>https://dblp.org/rec/journals/jimaging/BourouisAB21Fri, 01 Jan 2021 00:00:00 +0100Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution.https://doi.org/10.1016/j.knosys.2021.107051Ornela Bregu, Nuha Zamzami, Nizar Bouguila: Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution.Knowl. Based Syst.225: 107051 (2021)]]>https://dblp.org/rec/journals/kbs/BreguZB21Fri, 01 Jan 2021 00:00:00 +0100Color object segmentation and tracking using flexible statistical model and level-set.https://doi.org/10.1007/s11042-020-09809-2Sami Bourouis, Ines Channoufi, Roobaea Alroobaea, Saeed Rubaiee, Murad Andejany, Nizar Bouguila: Color object segmentation and tracking using flexible statistical model and level-set.Multim. Tools Appl.80(4): 5809-5831 (2021)]]>https://dblp.org/rec/journals/mta/BourouisCARAB21Fri, 01 Jan 2021 00:00:00 +0100A statistical framework for few-shot action recognition.https://doi.org/10.1007/s11042-021-10721-6Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila: A statistical framework for few-shot action recognition.Multim. Tools Appl.80(16): 24303-24318 (2021)]]>https://dblp.org/rec/journals/mta/HaddadGNB21Fri, 01 Jan 2021 00:00:00 +0100Plug-and-Play video reconstruction using sparse 3D transform-domain block matching.https://doi.org/10.1007/s00138-021-01201-wVahid Khorasani Ghassab, Nizar Bouguila: Plug-and-Play video reconstruction using sparse 3D transform-domain block matching.Mach. Vis. Appl.32(3): 76 (2021)]]>https://dblp.org/rec/journals/mva/GhassabB21Fri, 01 Jan 2021 00:00:00 +0100Efficient integration of generative topic models into discriminative classifiers using robust probabilistic kernels.https://doi.org/10.1007/s10044-020-00917-1Koffi Eddy Ihou, Nizar Bouguila, Wassim Bouachir: Efficient integration of generative topic models into discriminative classifiers using robust probabilistic kernels.Pattern Anal. Appl.24(1): 217-241 (2021)]]>https://dblp.org/rec/journals/paa/IhouBB21Fri, 01 Jan 2021 00:00:00 +0100Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications.https://doi.org/10.1007/s10044-021-01023-6Narges Manouchehri, Nizar Bouguila, Wentao Fan: Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications.Pattern Anal. Appl.24(4): 1731-1744 (2021)]]>https://dblp.org/rec/journals/paa/ManouchehriBF21Fri, 01 Jan 2021 00:00:00 +0100BLOCK-DBSCAN: Fast clustering for large scale data.https://doi.org/10.1016/j.patcog.2020.107624Yewang Chen, Lida Zhou, Nizar Bouguila, Cheng Wang, Yi Chen, Jixiang Du: BLOCK-DBSCAN: Fast clustering for large scale data.Pattern Recognit.109: 107624 (2021)]]>https://dblp.org/rec/journals/pr/ChenZBWCD21Fri, 01 Jan 2021 00:00:00 +0100Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models.https://doi.org/10.1016/j.patcog.2021.108073Wentao Fan, Ru Wang, Nizar Bouguila: Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models.Pattern Recognit.119: 108073 (2021)]]>https://dblp.org/rec/journals/pr/FanWB21Fri, 01 Jan 2021 00:00:00 +0100Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions.https://doi.org/10.3390/rs13152991Ahmed H. Almulihi, Fahd S. Alharithi, Sami Bourouis, Roobaea Alroobaea, Yogesh Pawar, Nizar Bouguila: Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions.Remote. Sens.13(15): 2991 (2021)]]>https://dblp.org/rec/journals/remotesensing/AlmulihiABAPB21Fri, 01 Jan 2021 00:00:00 +0100Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition.https://doi.org/10.3390/s21072450Fahd S. Alharithi, Ahmed H. Almulihi, Sami Bourouis, Roobaea Alroobaea, Nizar Bouguila: Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition.Sensors21(7): 2450 (2021)]]>https://dblp.org/rec/journals/sensors/AlharithiABAB21Fri, 01 Jan 2021 00:00:00 +0100Bayesian inference for infinite asymmetric Gaussian mixture with feature selection.https://doi.org/10.1007/s00500-021-05598-4Ziyang Song, Samr Ali, Nizar Bouguila: Bayesian inference for infinite asymmetric Gaussian mixture with feature selection.Soft Comput.25(8): 6043-6053 (2021)]]>https://dblp.org/rec/journals/soco/SongAB21Fri, 01 Jan 2021 00:00:00 +0100A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings.https://doi.org/10.1109/TCE.2021.3131943Jiaxun Guo, Manar Amayri, Nizar Bouguila, Wentao Fan: A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings.IEEE Trans. Consumer Electron.67(4): 285-293 (2021)]]>https://dblp.org/rec/journals/tce/GuoABF21Fri, 01 Jan 2021 00:00:00 +0100Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting.https://doi.org/10.1007/s11277-021-08308-3Kamal Maanicshah, Manar Amayri, Nizar Bouguila, Wentao Fan: Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting.Wirel. Pers. Commun.119(2): 1817-1844 (2021)]]>https://dblp.org/rec/journals/wpc/MaanicshahABF21Fri, 01 Jan 2021 00:00:00 +0100Clustering Count Data with Stochastic Expectation Propagation.https://doi.org/10.1007/978-3-030-73280-6_10Xavier Sumba, Nuha Zamzami, Nizar Bouguila: Clustering Count Data with Stochastic Expectation Propagation.ACIIDS2021: 119-129]]>https://dblp.org/rec/conf/aciids/SumbaZB21Fri, 01 Jan 2021 00:00:00 +0100Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model.https://doi.org/10.1007/978-3-030-73280-6_11Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Wentao Fan: Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model.ACIIDS2021: 130-143]]>https://dblp.org/rec/conf/aciids/AhmadzadehMEBF21Fri, 01 Jan 2021 00:00:00 +0100Mixture-Based Unsupervised Learning for Positively Correlated Count Data.https://doi.org/10.1007/978-3-030-73280-6_12Ornela Bregu, Nuha Zamzami, Nizar Bouguila: Mixture-Based Unsupervised Learning for Positively Correlated Count Data.ACIIDS2021: 144-154]]>https://dblp.org/rec/conf/aciids/BreguZB21Fri, 01 Jan 2021 00:00:00 +0100Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model.https://doi.org/10.1007/978-981-16-1685-3_13Samar Hannachi, Fatma Najar, Nizar Bouguila: Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model.ACIIDS (Companion)2021: 149-161]]>https://dblp.org/rec/conf/aciids/HannachiNB21Fri, 01 Jan 2021 00:00:00 +0100Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation.https://doi.org/10.1007/978-3-030-95408-6_14Fatma Najar, Nizar Bouguila: Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation.ADMA2021: 177-191]]>https://dblp.org/rec/conf/adma/NajarB22Fri, 01 Jan 2021 00:00:00 +0100Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model.https://doi.org/10.23919/EUSIPCO54536.2021.9616056Zixiang Xian, Muhammad Azam, Manar Amayri, Nizar Bouguila: Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model.EUSIPCO2021: 1436-1440]]>https://dblp.org/rec/conf/eusipco/Xian0AB21Fri, 01 Jan 2021 00:00:00 +0100Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model.https://doi.org/10.32473/flairs.v34i1.128379Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan: Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model.FLAIRS2021]]>https://dblp.org/rec/conf/flairs/AhmadzadehMEBPA21Fri, 01 Jan 2021 00:00:00 +0100Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models.https://doi.org/10.32473/flairs.v34i1.128506Xuanbo Su, Nizar Bouguila, Nuha Zamzami: Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models.FLAIRS2021]]>https://dblp.org/rec/conf/flairs/suBZ21Fri, 01 Jan 2021 00:00:00 +0100Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge.https://doi.org/10.1007/978-3-030-86331-9_23Fatma Najar, Nizar Bouguila: Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge.ICDAR (2)2021: 351-363]]>https://dblp.org/rec/conf/icdar/NajarB21Fri, 01 Jan 2021 00:00:00 +0100Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models.https://doi.org/10.1109/ICIT46573.2021.9453513Yogesh Pawar, Manar Amayri, Nizar Bouguila: Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models.ICIT2021: 913-918]]>https://dblp.org/rec/conf/icit2/PawarAB21Fri, 01 Jan 2021 00:00:00 +0100Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field.https://doi.org/10.1109/ICIT46573.2021.9453487Muhammad Azam, Jai Puneet Singh, Nizar Bouguila: Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field.ICIT2021: 936-941]]>https://dblp.org/rec/conf/icit2/0002SB21Fri, 01 Jan 2021 00:00:00 +0100Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions.https://doi.org/10.1109/ICMLA52953.2021.00053Narges Manouchehri, Nizar Bouguila, Wentao Fan: Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions.ICMLA2021: 298-303]]>https://dblp.org/rec/conf/icmla/ManouchehriBF21Fri, 01 Jan 2021 00:00:00 +0100Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications.https://doi.org/10.1007/978-3-030-79457-6_25Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila: Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications.IEA/AIE (1)2021: 285-296]]>https://dblp.org/rec/conf/ieaaie/AmirkhaniMB21Fri, 01 Jan 2021 00:00:00 +0100Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering.https://doi.org/10.1007/978-3-030-79457-6_48Samar Hannachi, Fatma Najar, Koffi Eddy Ihou, Nizar Bouguila: Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering.IEA/AIE (1)2021: 564-571]]>https://dblp.org/rec/conf/ieaaie/HannachiNIB21Fri, 01 Jan 2021 00:00:00 +0100Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis.https://doi.org/10.1109/IECON48115.2021.9589943Narges Manouchehri, Nizar Bouguila: Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis.IECON2021: 1-6]]>https://dblp.org/rec/conf/iecon/ManouchehriB21Fri, 01 Jan 2021 00:00:00 +0100Efficient Parameter Based Online Object Tracking.https://doi.org/10.1109/IJCNN52387.2021.9533905Md. Hafizur Rahman, Samr Ali, Nizar Bouguila: Efficient Parameter Based Online Object Tracking.IJCNN2021: 1-8]]>https://dblp.org/rec/conf/ijcnn/RahmanAB21Fri, 01 Jan 2021 00:00:00 +0100Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition.https://doi.org/10.1109/IRI51335.2021.00012Zixiang Xian, Muhammad Azam, Nizar Bouguila: Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition.IRI2021: 41-48]]>https://dblp.org/rec/conf/iri/XianAB21Fri, 01 Jan 2021 00:00:00 +0100A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution.https://doi.org/10.1109/IRI51335.2021.00015Narges Manouchehri, Ali Baghdadi, Nizar Bouguila: A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution.IRI2021: 61-68]]>https://dblp.org/rec/conf/iri/ManouchehriBB21Fri, 01 Jan 2021 00:00:00 +0100A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models.https://doi.org/10.1109/IRI51335.2021.00018Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila: A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models.IRI2021: 83-90]]>https://dblp.org/rec/conf/iri/AmirkhaniMB21Fri, 01 Jan 2021 00:00:00 +0100Jointly smoothing word embedding and text representation.https://doi.org/10.1109/IRI51335.2021.00045Fatma Najar, Nizar Bouguila: Jointly smoothing word embedding and text representation.IRI2021: 282-289]]>https://dblp.org/rec/conf/iri/NajarB21Fri, 01 Jan 2021 00:00:00 +0100Inverted Dirichlet State Space Model for Time Series Forecasting.https://doi.org/10.1109/ISIE45552.2021.9576224Omar Graja, Fatma Najar, Manar Amayri, Nizar Bouguila: Inverted Dirichlet State Space Model for Time Series Forecasting.ISIE2021: 1-6]]>https://dblp.org/rec/conf/isie/GrajaNAB21Fri, 01 Jan 2021 00:00:00 +0100Online Variational Learning of Shifted Scaled Dirichlet Mixture.https://doi.org/10.1109/ISIE45552.2021.9576233Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila: Online Variational Learning of Shifted Scaled Dirichlet Mixture.ISIE2021: 1-6]]>https://dblp.org/rec/conf/isie/ManouchehriDAB21Fri, 01 Jan 2021 00:00:00 +0100Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting.https://doi.org/10.1109/ISNCC52172.2021.9615829Ahmed Rebei, Oumayma Dalhoumi, Narges Manouchehri, Ali Baghdadi, Manar Amayri, Nizar Bouguila: Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting.ISNCC2021: 1-6]]>https://dblp.org/rec/conf/isncc/RebeiDMBAB21Fri, 01 Jan 2021 00:00:00 +0100Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning.https://doi.org/10.1007/978-3-030-90436-4_20Vahid Khorasani Ghassab, Nizar Bouguila: Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning.ISVC (2)2021: 251-262]]>https://dblp.org/rec/conf/isvc/GhassabB21Fri, 01 Jan 2021 00:00:00 +0100Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models.https://doi.org/10.1145/3404835.3462982Wentao Fan, Zhiyan Guo, Nizar Bouguila, Wenjuan Hou: Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models.SIGIR2021: 2126-2130]]>https://dblp.org/rec/conf/sigir/FanGBH21Fri, 01 Jan 2021 00:00:00 +0100Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications.https://doi.org/10.1016/j.asoc.2020.106672Victor Hugo C. de Albuquerque, Deepak Gupta, Ivanoe De Falco, Giovanna Sannino, Nizar Bouguila: Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications.Appl. Soft Comput.95: 106672 (2020)]]>https://dblp.org/rec/journals/asc/AlbuquerqueGFSB20Wed, 01 Jan 2020 00:00:00 +0100New Methods and Approaches in Decision and Control of Intelligent and Cyber Systems.https://doi.org/10.1080/01969722.2020.1758468Maria Pia Fanti, Moêz Soltani, Nizar Bouguila, Achraf Jabeur Telmoudi: New Methods and Approaches in Decision and Control of Intelligent and Cyber Systems.Cybern. Syst.51(4): 335-338 (2020)]]>https://dblp.org/rec/journals/cas/FantiSBT20Wed, 01 Jan 2020 00:00:00 +0100Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis.https://doi.org/10.1080/01969722.2020.1758464Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila: Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis.Cybern. Syst.51(4): 442-466 (2020)]]>https://dblp.org/rec/journals/cas/KoochemeshkianZ20Wed, 01 Jan 2020 00:00:00 +0100Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions.https://doi.org/10.1111/coin.12246Nuha Zamzami, Rua Alsuroji, Oboh Eromonsele, Nizar Bouguila: Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions.Comput. Intell.36(2): 459-485 (2020)]]>https://dblp.org/rec/journals/ci/ZamzamiAEB20Wed, 01 Jan 2020 00:00:00 +0100Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution.https://doi.org/10.1016/j.dsp.2020.102829Ziyang Song, Samr Ali, Nizar Bouguila, Wentao Fan: Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution.Digit. Signal Process.106: 102829 (2020)]]>https://dblp.org/rec/journals/dsp/SongABF20Wed, 01 Jan 2020 00:00:00 +0100Stochastic topic models for large scale and nonstationary data.https://doi.org/10.1016/j.engappai.2019.103364Koffi Eddy Ihou, Nizar Bouguila: Stochastic topic models for large scale and nonstationary data.Eng. Appl. Artif. Intell.88 (2020)]]>https://dblp.org/rec/journals/eaai/IhouB20Wed, 01 Jan 2020 00:00:00 +0100Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions.https://doi.org/10.1016/j.engappai.2020.103781Wentao Fan, Nizar Bouguila: Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions.Eng. Appl. Artif. Intell.94: 103781 (2020)]]>https://dblp.org/rec/journals/eaai/FanB20Wed, 01 Jan 2020 00:00:00 +0100Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection.https://doi.org/10.1049/iet-ipr.2019.1029Ziyang Song, Samr Ali, Nizar Bouguila: Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection.IET Image Process.14(11): 2321-2332 (2020)]]>https://dblp.org/rec/journals/iet-ipr/SongAB20Wed, 01 Jan 2020 00:00:00 +0100Multimodal action recognition using variational-based Beta-Liouville hidden Markov models.https://doi.org/10.1049/iet-ipr.2020.0709Samr Ali, Nizar Bouguila: Multimodal action recognition using variational-based Beta-Liouville hidden Markov models.IET Image Process.14(17): 4785-4794 (2020)]]>https://dblp.org/rec/journals/iet-ipr/AliB20Wed, 01 Jan 2020 00:00:00 +0100Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification.https://doi.org/10.1002/ima.22391Roobaea Alroobaea, Saeed Rubaiee, Sami Bourouis, Nizar Bouguila, Abdulmajeed Alsufyani: Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification.Int. J. Imaging Syst. Technol.30(1): 18-30 (2020)]]>https://dblp.org/rec/journals/imst/AlroobaeaRBBA20Wed, 01 Jan 2020 00:00:00 +0100Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis.https://doi.org/10.1002/ima.22421Meeta Kalra, Nizar Bouguila, Wentao Fan: Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis.Int. J. Imaging Syst. Technol.30(3): 794-814 (2020)]]>https://dblp.org/rec/journals/imst/KalraBF20Wed, 01 Jan 2020 00:00:00 +0100High-dimensional count data clustering based on an exponential approximation to the multinomial Beta-Liouville distribution.https://doi.org/10.1016/j.ins.2020.03.028Nuha Zamzami, Nizar Bouguila: High-dimensional count data clustering based on an exponential approximation to the multinomial Beta-Liouville distribution.Inf. Sci.524: 116-135 (2020)]]>https://dblp.org/rec/journals/isci/ZamzamiB20Wed, 01 Jan 2020 00:00:00 +0100Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions.https://doi.org/10.1007/s10796-020-10027-2Narges Manouchehri, Hieu Nguyen, Pantea Koochemeshkian, Nizar Bouguila, Wentao Fan: Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions.Inf. Syst. Frontiers22(5): 1085-1093 (2020)]]>https://dblp.org/rec/journals/isf/ManouchehriNKBF20Wed, 01 Jan 2020 00:00:00 +0100A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models.https://doi.org/10.1016/j.knosys.2019.105335Rim Nasfi, Manar Amayri, Nizar Bouguila: A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models.Knowl. Based Syst.192: 105335 (2020)]]>https://dblp.org/rec/journals/kbs/NasfiAB20Wed, 01 Jan 2020 00:00:00 +0100Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis.https://doi.org/10.1016/j.knosys.2020.106341Wentao Fan, Lin Yang, Nizar Bouguila, Yewang Chen: Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis.Knowl. Based Syst.206: 106341 (2020)]]>https://dblp.org/rec/journals/kbs/FanYBC20Wed, 01 Jan 2020 00:00:00 +0100Supervised dimensionality reduction of proportional data using mixture estimation.https://doi.org/10.1016/j.patcog.2020.107379Walid Masoudimansour, Nizar Bouguila: Supervised dimensionality reduction of proportional data using mixture estimation.Pattern Recognit.105: 107379 (2020)]]>https://dblp.org/rec/journals/pr/MasoudimansourB20Wed, 01 Jan 2020 00:00:00 +0100A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference.https://doi.org/10.1007/s00500-019-04238-2Shuai Fu, Nizar Bouguila: A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference.Soft Comput.24(7): 4841-4853 (2020)]]>https://dblp.org/rec/journals/soco/FuB20Wed, 01 Jan 2020 00:00:00 +0100A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models.https://doi.org/10.1007/s00500-019-04567-2Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith: A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models.Soft Comput.24(14): 10611-10628 (2020)]]>https://dblp.org/rec/journals/soco/NajarBBB20Wed, 01 Jan 2020 00:00:00 +0100Multivariate bounded support Laplace mixture model.https://doi.org/10.1007/s00500-020-04737-7Muhammad Azam, Nizar Bouguila: Multivariate bounded support Laplace mixture model.Soft Comput.24(17): 13239-13268 (2020)]]>https://dblp.org/rec/journals/soco/AzamB20Wed, 01 Jan 2020 00:00:00 +0100A Framework for Unsupervised Planning of Cellular Networks Using Statistical Machine Learning.https://doi.org/10.1109/TCOMM.2020.2971691Mohaned Chraiti, Ali Ghrayeb, Chadi Assi, Nizar Bouguila, Reinaldo A. Valenzuela: A Framework for Unsupervised Planning of Cellular Networks Using Statistical Machine Learning.IEEE Trans. Commun.68(5): 3213-3228 (2020)]]>https://dblp.org/rec/journals/tcom/ChraitiGABV20Wed, 01 Jan 2020 00:00:00 +0100Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior.https://doi.org/10.1145/3406242Nuha Zamzami, Nizar Bouguila: Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior.ACM Trans. Knowl. Discov. Data14(6): 69:1-69:35 (2020)]]>https://dblp.org/rec/journals/tkdd/ZamzamiB20Wed, 01 Jan 2020 00:00:00 +0100Light Field Super-Resolution Using Edge-Preserved Graph-Based Regularization.https://doi.org/10.1109/TMM.2019.2946094Vahid Khorasani Ghassab, Nizar Bouguila: Light Field Super-Resolution Using Edge-Preserved Graph-Based Regularization.IEEE Trans. Multim.22(6): 1447-1457 (2020)]]>https://dblp.org/rec/journals/tmm/GhassabB20Wed, 01 Jan 2020 00:00:00 +0100Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions.https://doi.org/10.1109/TNNLS.2019.2938830Wentao Fan, Nizar Bouguila: Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions.IEEE Trans. Neural Networks Learn. Syst.31(9): 3193-3203 (2020)]]>https://dblp.org/rec/journals/tnn/FanB20Wed, 01 Jan 2020 00:00:00 +0100Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model.https://doi.org/10.1007/978-3-030-47358-7_45Fatma Najar, Nizar Bouguila: Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model.Canadian AI2020: 438-444]]>https://dblp.org/rec/conf/ai/NajarB20Wed, 01 Jan 2020 00:00:00 +0100Improving Classification Using Topic Correlation and Expectation Propagation.https://doi.org/10.1007/978-3-030-47358-7_51Xavier Sumba, Nizar Bouguila: Improving Classification Using Topic Correlation and Expectation Propagation.Canadian AI2020: 496-507]]>https://dblp.org/rec/conf/ai/SumbaB20Wed, 01 Jan 2020 00:00:00 +0100Variational learning of a shifted scaled Dirichlet model with component splitting approach.https://doi.org/10.1109/AI4I49448.2020.00024Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila: Variational learning of a shifted scaled Dirichlet model with component splitting approach.AI4I2020: 75-78]]>https://dblp.org/rec/conf/ai4i/ManouchehriDAB20Wed, 01 Jan 2020 00:00:00 +0100Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition.https://doi.org/10.1109/ATSIP49331.2020.9231759Fatma Najar, Sami Bourouis, Marwan Ibrahim Alshar'e, Roobaea Alroobaea, Nizar Bouguila, Ali H. Al-Badi, Ines Channoufi: Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition.ATSIP2020: 1-6]]>https://dblp.org/rec/conf/atsip/NajarBAABBC20Wed, 01 Jan 2020 00:00:00 +0100Improving the EDCM Mixture Model with Expectation Propagation.https://aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/view/18434Xavier Sumba, Nuha Zamzami, Nizar Bouguila: Improving the EDCM Mixture Model with Expectation Propagation.FLAIRS2020: 209-212]]>https://dblp.org/rec/conf/flairs/SumbaZB20Wed, 01 Jan 2020 00:00:00 +0100MCMC-Based Learning of Finite Bivariate Beta Mixture Models.https://aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/view/18511Maryam Rasti, Narges Manouchehri, Nizar Bouguila: MCMC-Based Learning of Finite Bivariate Beta Mixture Models.FLAIRS2020: 621-625]]>https://dblp.org/rec/conf/flairs/RastiMB20Wed, 01 Jan 2020 00:00:00 +0100Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition.https://doi.org/10.1109/ICIP40778.2020.9191144Samr Ali, Nizar Bouguila: Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition.ICIP2020: 3279-3283]]>https://dblp.org/rec/conf/icip/AliB20Wed, 01 Jan 2020 00:00:00 +0100A Distribution-based Regression for Real-time COVID-19 Cases Detection from Chest X-ray and CT Images.https://doi.org/10.1109/IRI49571.2020.00023Nuha Zamzami, Pantea Koochemeshkian, Nizar Bouguila: A Distribution-based Regression for Real-time COVID-19 Cases Detection from Chest X-ray and CT Images.IRI2020: 104-111]]>https://dblp.org/rec/conf/iri/ZamzamiKB20Wed, 01 Jan 2020 00:00:00 +0100Background Subtraction with a Hierarchical Pitman-Yor Process Mixture Model of Generalized Gaussian Distributions.https://doi.org/10.1109/IRI49571.2020.00024Srikanth Amudala, Samr Ali, Nizar Bouguila: Background Subtraction with a Hierarchical Pitman-Yor Process Mixture Model of Generalized Gaussian Distributions.IRI2020: 112-119]]>https://dblp.org/rec/conf/iri/AmudalaAB20Wed, 01 Jan 2020 00:00:00 +0100Fully Bayesian Learning of Multivariate Beta Mixture Models.https://doi.org/10.1109/IRI49571.2020.00025Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila: Fully Bayesian Learning of Multivariate Beta Mixture Models.IRI2020: 120-127]]>https://dblp.org/rec/conf/iri/AmirkhaniMB20Wed, 01 Jan 2020 00:00:00 +0100REP-Model: A deep learning framework for replacing ad billboards in soccer videos.https://doi.org/10.1109/ISM.2020.00032Vahid Khorasani Ghassab, Kamal Maanicshah, Nizar Bouguila, Paul Green: REP-Model: A deep learning framework for replacing ad billboards in soccer videos.ISM2020: 149-153]]>https://dblp.org/rec/conf/ism/GhassabMBG20Wed, 01 Jan 2020 00:00:00 +0100Bivariate Beta Regression Model and Its Medical Applications.https://doi.org/10.1109/ISNCC49221.2020.9297234Pantea Koochemeshkian, Narges Manouchehri, Nizar Bouguila: Bivariate Beta Regression Model and Its Medical Applications.ISNCC2020: 1-5]]>https://dblp.org/rec/conf/isncc/KoochemeshkianM20Wed, 01 Jan 2020 00:00:00 +0100Recognition of human interactions in feature films based on infinite mixture of EDCM.https://doi.org/10.1109/ISNCC49221.2020.9297169Fatma Najar, Nuha Zamzami, Nizar Bouguila: Recognition of human interactions in feature films based on infinite mixture of EDCM.ISNCC2020: 1-6]]>https://dblp.org/rec/conf/isncc/NajarZB20Wed, 01 Jan 2020 00:00:00 +0100Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation.https://doi.org/10.1109/ISNCC49221.2020.9297250Yogesh Pawar, Manar Amayri, Nizar Bouguila: Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation.ISNCC2020: 1-6]]>https://dblp.org/rec/conf/isncc/PawarAB20Wed, 01 Jan 2020 00:00:00 +0100An Effective Hybrid Anomaly Detection System Based on Mixture Models.https://doi.org/10.1109/ISNCC49221.2020.9297170Yogesh Pawar, Nuha Zamzami, Nizar Bouguila: An Effective Hybrid Anomaly Detection System Based on Mixture Models.ISNCC2020: 1-6]]>https://dblp.org/rec/conf/isncc/PawarZB20Wed, 01 Jan 2020 00:00:00 +0100Probabilistic Features on Simplex Manifold in Predictive Data Modelling.https://doi.org/10.1109/ISNCC49221.2020.9297189Md. Hafizur Rahman, Nizar Bouguila: Probabilistic Features on Simplex Manifold in Predictive Data Modelling.ISNCC2020: 1-6]]>https://dblp.org/rec/conf/isncc/RahmanB20Wed, 01 Jan 2020 00:00:00 +0100Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures.https://doi.org/10.1007/978-3-030-64559-5_3Fatma Najar, Nizar Bouguila: Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures.ISVC (2)2020: 27-38]]>https://dblp.org/rec/conf/isvc/NajarB20Wed, 01 Jan 2020 00:00:00 +0100Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting.https://doi.org/10.1007/978-3-030-64556-4_32Omar Graja, Fatma Najar, Nizar Bouguila: Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting.ISVC (1)2020: 410-421]]>https://dblp.org/rec/conf/isvc/GrajaNB20Wed, 01 Jan 2020 00:00:00 +0100On Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Data.https://doi.org/10.1109/MMSP48831.2020.9287112Samr Ali, Nizar Bouguila: On Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Data.MMSP2020: 1-6]]>https://dblp.org/rec/conf/mmsp/AliB20Wed, 01 Jan 2020 00:00:00 +0100Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection.https://doi.org/10.1109/SMC42975.2020.9283007Srikanth Amudala, Samr Ali, Nizar Bouguila: Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection.SMC2020: 120-127]]>https://dblp.org/rec/conf/smc/AmudalaAB20Wed, 01 Jan 2020 00:00:00 +0100Instance-Based Learning for Human Action Recognition.https://doi.org/10.1109/SMC42975.2020.9283020Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila: Instance-Based Learning for Human Action Recognition.SMC2020: 147-153]]>https://dblp.org/rec/conf/smc/HaddadGNB20Wed, 01 Jan 2020 00:00:00 +0100A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification.https://doi.org/10.1109/SMC42975.2020.9283349Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila: A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification.SMC2020: 1155-1160]]>https://dblp.org/rec/conf/smc/AlalyanZB20Wed, 01 Jan 2020 00:00:00 +0100Inverted Dirichlet and Related Distributions Based Feature Mapping for Data Classification.https://doi.org/10.1109/SMC42975.2020.9283063Md. Hafizur Rahman, Nizar Bouguila: Inverted Dirichlet and Related Distributions Based Feature Mapping for Data Classification.SMC2020: 3588-3593]]>https://dblp.org/rec/conf/smc/RahmanB20Wed, 01 Jan 2020 00:00:00 +0100Distribution-based Regression Models for Semi-Bounded Data Analysis.https://doi.org/10.1109/SMC42975.2020.9282858Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila: Distribution-based Regression Models for Semi-Bounded Data Analysis.SMC2020: 4073-4080]]>https://dblp.org/rec/conf/smc/KoochemeshkianZ20Wed, 01 Jan 2020 00:00:00 +0100Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling.https://doi.org/10.1109/SMC42975.2020.9283011Samr Ali, Nizar Bouguila: Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling.SMC2020: 4081-4087]]>https://dblp.org/rec/conf/smc/AliB20Wed, 01 Jan 2020 00:00:00 +0100Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification.https://doi.org/10.1109/ACCESS.2018.2886315Sami Bourouis, Atef Zaguia, Nizar Bouguila, Roobaea Alroobaea: Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification.IEEE Access7: 1107-1117 (2019)]]>https://dblp.org/rec/journals/access/BourouisZBA19Tue, 01 Jan 2019 00:00:00 +0100Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection.https://doi.org/10.1109/ACCESS.2019.2912115Wajdi Alhakami, Abdullah Alharbi, Sami Bourouis, Roobaea Alroobaea, Nizar Bouguila: Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection.IEEE Access7: 52181-52190 (2019)]]>https://dblp.org/rec/journals/access/AlhakamiABAB19Tue, 01 Jan 2019 00:00:00 +0100Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments.https://doi.org/10.1109/ACCESS.2019.2911921Manar Amayri, Stéphane Ploix, Nizar Bouguila, Frédéric Wurtz: Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments.IEEE Access7: 53932-53944 (2019)]]>https://dblp.org/rec/journals/access/AmayriPBW19Tue, 01 Jan 2019 00:00:00 +0100Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery.https://doi.org/10.1109/ACCESS.2019.2923765Wassim Bouachir, Koffi Eddy Ihou, Houssem-Eddine Gueziri, Nizar Bouguila, Nicolas Bélanger: Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery.IEEE Access7: 82491-82500 (2019)]]>https://dblp.org/rec/journals/access/BouachirIGBB19Tue, 01 Jan 2019 00:00:00 +0100Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions.https://doi.org/10.1109/ACCESS.2019.2924651Wentao Fan, Nizar Bouguila: Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions.IEEE Access7: 83600-83614 (2019)]]>https://dblp.org/rec/journals/access/FanB19Tue, 01 Jan 2019 00:00:00 +0100Model selection and application to high-dimensional count data clustering - via finite EDCM mixture models.https://doi.org/10.1007/s10489-018-1333-9Nuha Zamzami, Nizar Bouguila: Model selection and application to high-dimensional count data clustering - via finite EDCM mixture models.Appl. Intell.49(4): 1467-1488 (2019)]]>https://dblp.org/rec/journals/apin/ZamzamiB19Tue, 01 Jan 2019 00:00:00 +0100Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models.https://doi.org/10.1007/s10489-019-01437-0Nuha Zamzami, Nizar Bouguila: Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models.Appl. Intell.49(11): 3783-3800 (2019)]]>https://dblp.org/rec/journals/apin/ZamzamiB19aTue, 01 Jan 2019 00:00:00 +0100Variational-based latent generalized Dirichlet allocation model in the collapsed space and applications.https://doi.org/10.1016/j.neucom.2018.12.046Koffi Eddy Ihou, Nizar Bouguila: Variational-based latent generalized Dirichlet allocation model in the collapsed space and applications.Neurocomputing332: 372-395 (2019)]]>https://dblp.org/rec/journals/ijon/IhouB19Tue, 01 Jan 2019 00:00:00 +0100A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models.https://doi.org/10.1016/j.neucom.2018.12.066Can Hu, Wentao Fan, Ji-Xiang Du, Nizar Bouguila: A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models.Neurocomputing333: 110-123 (2019)]]>https://dblp.org/rec/journals/ijon/HuFDB19Tue, 01 Jan 2019 00:00:00 +0100Fast neighbor search by using revised k-d tree.https://doi.org/10.1016/j.ins.2018.09.012Yewang Chen, Lida Zhou, Yi Tang, Jai Puneet Singh, Nizar Bouguila, Cheng Wang, Hua-zhen Wang, Ji-Xiang Du: Fast neighbor search by using revised k-d tree.Inf. Sci.472: 145-162 (2019)]]>https://dblp.org/rec/journals/isci/ChenZTSBWWD19Tue, 01 Jan 2019 00:00:00 +0100Artificial Intelligence for Mobile Health Data Analysis and Processing.https://doi.org/10.1155/2019/2673463Giovanna Sannino, Nizar Bouguila, Giuseppe De Pietro, Antonio Celesti: Artificial Intelligence for Mobile Health Data Analysis and Processing.Mob. Inf. Syst.2019: 2673463:1-2673463:2 (2019)]]>https://dblp.org/rec/journals/mis/SanninoBPC19Tue, 01 Jan 2019 00:00:00 +0100Simultaneous clustering and feature selection via nonparametric Pitman-Yor process mixture models.https://doi.org/10.1007/s13042-018-0900-zWentao Fan, Nizar Bouguila: Simultaneous clustering and feature selection via nonparametric Pitman-Yor process mixture models.Int. J. Mach. Learn. Cybern.10(10): 2753-2766 (2019)]]>https://dblp.org/rec/journals/mlc/FanB19Tue, 01 Jan 2019 00:00:00 +0100Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition.https://doi.org/10.1007/s11042-018-7116-9Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith: Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition.Multim. Tools Appl.78(13): 18669-18691 (2019)]]>https://dblp.org/rec/journals/mta/NajarBBB19Tue, 01 Jan 2019 00:00:00 +0100Bayesian frameworks for traffic scenes monitoring via view-based 3D cars models recognition.https://doi.org/10.1007/s11042-019-7275-3Sami Bourouis, Yacine Laalaoui, Nizar Bouguila: Bayesian frameworks for traffic scenes monitoring via view-based 3D cars models recognition.Multim. Tools Appl.78(13): 18813-18833 (2019)]]>https://dblp.org/rec/journals/mta/BourouisLB19Tue, 01 Jan 2019 00:00:00 +0100Bounded Generalized Gaussian Mixture Model with ICA.https://doi.org/10.1007/s11063-018-9868-7Muhammad Azam, Nizar Bouguila: Bounded Generalized Gaussian Mixture Model with ICA.Neural Process. Lett.49(3): 1299-1320 (2019)]]>https://dblp.org/rec/journals/npl/AzamB19Tue, 01 Jan 2019 00:00:00 +0100A nonparametric Bayesian learning model using accelerated variational inference and feature selection.https://doi.org/10.1007/s10044-018-00767-yWentao Fan, Nizar Bouguila, Xin Liu: A nonparametric Bayesian learning model using accelerated variational inference and feature selection.Pattern Anal. Appl.22(1): 63-74 (2019)]]>https://dblp.org/rec/journals/paa/FanBL19Tue, 01 Jan 2019 00:00:00 +0100Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs - A practical study.https://doi.org/10.1016/j.patcog.2018.08.013Elise Epaillard, Nizar Bouguila: Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs - A practical study.Pattern Recognit.85: 207-219 (2019)]]>https://dblp.org/rec/journals/pr/EpaillardB19Tue, 01 Jan 2019 00:00:00 +0100A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation.https://doi.org/10.1016/j.patcog.2019.05.038Nuha Zamzami, Nizar Bouguila: A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation.Pattern Recognit.95: 36-47 (2019)]]>https://dblp.org/rec/journals/pr/ZamzamiB19Tue, 01 Jan 2019 00:00:00 +0100Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures.https://doi.org/10.1007/s00500-018-3244-4Sami Bourouis, Faisal R. Al-Osaimi, Nizar Bouguila, Hassen Sallay, Fahd M. Aldosari, Mohamed Al Mashrgy: Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures.Soft Comput.23(14): 5799-5813 (2019)]]>https://dblp.org/rec/journals/soco/BourouisABSAM19Tue, 01 Jan 2019 00:00:00 +0100Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection.https://doi.org/10.1109/TNNLS.2018.2855699Elise Epaillard, Nizar Bouguila: Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection.IEEE Trans. Neural Networks Learn. Syst.30(4): 1034-1047 (2019)]]>https://dblp.org/rec/journals/tnn/EpaillardB19Tue, 01 Jan 2019 00:00:00 +0100Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions.https://doi.org/10.1109/TNNLS.2018.2872986Wentao Fan, Nizar Bouguila, Ji-Xiang Du, Xin Liu: Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions.IEEE Trans. Neural Networks Learn. Syst.30(6): 1683-1694 (2019)]]>https://dblp.org/rec/journals/tnn/FanBDL19Tue, 01 Jan 2019 00:00:00 +0100An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures.https://doi.org/10.1109/CoDIT.2019.8820298Fahdah Alalyan, Nuha Zamzami, Manar Amayri, Nizar Bouguila: An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures.CoDIT2019: 1723-1728]]>https://dblp.org/rec/conf/codit/AlalyanZAB19Tue, 01 Jan 2019 00:00:00 +0100Beta-Liouville Regression and Applications.https://doi.org/10.1109/CoDIT.2019.8820449Divya Ankam, Nizar Bouguila, Manar Amayri: Beta-Liouville Regression and Applications.CoDIT2019: 1740-1745]]>https://dblp.org/rec/conf/codit/AnkamBA19Tue, 01 Jan 2019 00:00:00 +0100Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition.http://openaccess.thecvf.com/content_CVPRW_2019/html/PBVS/Ali_Variational_Learning_of_Beta-Liouville_Hidden_Markov_Models_for_Infrared_Action_CVPRW_2019_paper.htmlSamr Ali, Nizar Bouguila: Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition.CVPR Workshops2019: 898-906]]>https://dblp.org/rec/conf/cvpr/AliB19Tue, 01 Jan 2019 00:00:00 +0100Dynamic Texture Recognition using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines.https://doi.org/10.1109/GlobalSIP45357.2019.8969450Samr Ali, Nizar Bouguila: Dynamic Texture Recognition using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines.GlobalSIP2019: 1-5]]>https://dblp.org/rec/conf/globalsip/AliB19Tue, 01 Jan 2019 00:00:00 +0100An embedding framework for video reconstruction using Gaussian mixture models.https://doi.org/10.1109/GlobalSIP45357.2019.8969506Vahid Khorasani Ghassab, Nizar Bouguila: An embedding framework for video reconstruction using Gaussian mixture models.GlobalSIP2019: 1-5]]>https://dblp.org/rec/conf/globalsip/GhassabB19Tue, 01 Jan 2019 00:00:00 +0100Finite Inverted Dirichlet Mixture Optimal Pixel Predictor.https://doi.org/10.1109/GlobalSIP45357.2019.8969169Omar Graja, Nizar Bouguila: Finite Inverted Dirichlet Mixture Optimal Pixel Predictor.GlobalSIP2019: 1-5]]>https://dblp.org/rec/conf/globalsip/GrajaB19Tue, 01 Jan 2019 00:00:00 +0100Component Splitting-based Approach for Multivariate Beta Mixture Models Learning.https://doi.org/10.1109/GlobalSIP45357.2019.8969368Narges Manouchehri, Hieu Nguyen, Nizar Bouguila: Component Splitting-based Approach for Multivariate Beta Mixture Models Learning.GlobalSIP2019: 1-5]]>https://dblp.org/rec/conf/globalsip/ManouchehriNB19Tue, 01 Jan 2019 00:00:00 +0100An Accurate Evaluation of MSD Log-likelihood and its Application in Human Action Recognition.https://doi.org/10.1109/GlobalSIP45357.2019.8969324Nuha Zamzami, Nizar Bouguila: An Accurate Evaluation of MSD Log-likelihood and its Application in Human Action Recognition.GlobalSIP2019: 1-5]]>https://dblp.org/rec/conf/globalsip/ZamzamiB19Tue, 01 Jan 2019 00:00:00 +0100Generalized Dirichlet Regression and other Compositional Models with Application to Market-share Data Mining of Information Technology Companies.https://doi.org/10.5220/0007708201580166Divya Ankam, Nizar Bouguila: Generalized Dirichlet Regression and other Compositional Models with Application to Market-share Data Mining of Information Technology Companies.ICEIS (1)2019: 158-166]]>https://dblp.org/rec/conf/iceis/AnkamB19Tue, 01 Jan 2019 00:00:00 +0100A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions.https://doi.org/10.5220/0007707003730380Narges Manouchehri, Nizar Bouguila: A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions.ICEIS (1)2019: 373-380]]>https://dblp.org/rec/conf/iceis/ManouchehriB19Tue, 01 Jan 2019 00:00:00 +0100Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting.https://doi.org/10.1007/978-3-030-27272-2_8Kamal Maanicshah, Samr Ali, Wentao Fan, Nizar Bouguila: Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting.ICIAR (2)2019: 94-105]]>https://dblp.org/rec/conf/iciar/MaanicshahAFB19Tue, 01 Jan 2019 00:00:00 +0100Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting.https://doi.org/10.1007/978-3-030-27272-2_10Hieu Nguyen, Kamal Maanicshah, Muhammad Azam, Nizar Bouguila: Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting.ICIAR (2)2019: 117-128]]>https://dblp.org/rec/conf/iciar/NguyenMAB19Tue, 01 Jan 2019 00:00:00 +0100Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction.https://doi.org/10.1007/978-3-030-27202-9_24Ziyang Song, Samr Ali, Nizar Bouguila: Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction.ICIAR (1)2019: 264-274]]>https://dblp.org/rec/conf/iciar/SongAB19Tue, 01 Jan 2019 00:00:00 +0100Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution.https://doi.org/10.1109/IRI.2019.00034Muhammad Azam, Nizar Bouguila: Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution.IRI2019: 143-150]]>https://dblp.org/rec/conf/iri/AzamB19Tue, 01 Jan 2019 00:00:00 +0100Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models.https://doi.org/10.1109/IRI.2019.00050Hieu Nguyen, Meeta Kalra, Muhammad Azam, Nizar Bouguila: Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models.IRI2019: 267-274]]>https://dblp.org/rec/conf/iri/NguyenKAB19Tue, 01 Jan 2019 00:00:00 +0100Fake News Detection Using Bayesian Inference.https://doi.org/10.1109/IRI.2019.00066Fatma Najar, Nuha Zamzami, Nizar Bouguila: Fake News Detection Using Bayesian Inference.IRI2019: 389-394]]>https://dblp.org/rec/conf/iri/NajarZB19Tue, 01 Jan 2019 00:00:00 +0100A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings.https://doi.org/10.1109/ISC246665.2019.9071785Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, Nizar Bouguila: A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings.ISC22019: 414-419]]>https://dblp.org/rec/conf/isc2/NguyenRMMAB19Tue, 01 Jan 2019 00:00:00 +0100Color Image Segmentation Using Generalized Inverted Dirichlet Finite Mixture Models By Integrating Spatial Information.https://doi.org/10.1109/ISIE.2019.8781499Jaspreet Singh Kalsi, Nizar Bouguila: Color Image Segmentation Using Generalized Inverted Dirichlet Finite Mixture Models By Integrating Spatial Information.ISIE2019: 1379-1384]]>https://dblp.org/rec/conf/isie/KalsiB19Tue, 01 Jan 2019 00:00:00 +0100Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models.https://doi.org/10.1109/ISIE.2019.8781334Hieu Nguyen, Muhammad Azam, Nizar Bouguila: Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models.ISIE2019: 1391-1396]]>https://dblp.org/rec/conf/isie/NguyenAB19Tue, 01 Jan 2019 00:00:00 +0100Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications.https://doi.org/10.1109/ISIE.2019.8781217Narges Manouchehri, Jaspreet Singh Kalsi, Manar Amayri, Nizar Bouguila: Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications.ISIE2019: 1407-1412]]>https://dblp.org/rec/conf/isie/ManouchehriKAB19Tue, 01 Jan 2019 00:00:00 +0100Model-Based Hierarchical Clustering for Categorical Data.https://doi.org/10.1109/ISIE.2019.8781307Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila: Model-Based Hierarchical Clustering for Categorical Data.ISIE2019: 1424-1429]]>https://dblp.org/rec/conf/isie/AlalyanZB19Tue, 01 Jan 2019 00:00:00 +0100Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach.https://doi.org/10.1109/ISIE.2019.8781300Kamal Maanicshah, Nizar Bouguila, Wentao Fan: Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach.ISIE2019: 1453-1458]]>https://dblp.org/rec/conf/isie/MaanicshahBF19Tue, 01 Jan 2019 00:00:00 +0100Online Clustering for Estimating Occupancy in an Office Setting.https://doi.org/10.1109/ISIE.2019.8781154Nuha Zamzami, Manar Amayri, Nizar Bouguila, Stéphane Ploix: Online Clustering for Estimating Occupancy in an Office Setting.ISIE2019: 2195-2200]]>https://dblp.org/rec/conf/isie/ZamzamiABP19Tue, 01 Jan 2019 00:00:00 +0100Hybrid Generative-Discriminative Generalized Dirichlet-Based Hidden Markov Models with Support Vector Machines.https://doi.org/10.1109/ISM46123.2019.00050Samr Ali, Nizar Bouguila: Hybrid Generative-Discriminative Generalized Dirichlet-Based Hidden Markov Models with Support Vector Machines.ISM2019: 231-232]]>https://dblp.org/rec/conf/ism/AliB19Tue, 01 Jan 2019 00:00:00 +0100Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution.https://doi.org/10.1109/SSCI44817.2019.9003076Masoud Daghyani, Nuha Zamzami, Nizar Bouguila: Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution.SSCI2019: 986-993]]>https://dblp.org/rec/conf/ssci/DaghyaniZB19Tue, 01 Jan 2019 00:00:00 +0100A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings.https://doi.org/10.1109/SSCI44817.2019.9002873Manar Amayri, Stéphane Ploix, Fatma Najar, Nizar Bouguila, Frédéric Wurtz: A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings.SSCI2019: 1729-1734]]>https://dblp.org/rec/conf/ssci/AmayriPNBW19Tue, 01 Jan 2019 00:00:00 +0100Unsupervised Image Categorization Based on Variational Autoencoder and Student's-T Mixture Model.https://doi.org/10.1109/SSCI44817.2019.9002714Yu Zhang, Wentao Fan, Nizar Bouguila: Unsupervised Image Categorization Based on Variational Autoencoder and Student's-T Mixture Model.SSCI2019: 2403-2409]]>https://dblp.org/rec/conf/ssci/ZhangFB19Tue, 01 Jan 2019 00:00:00 +0100Variational Inference of Finite Generalized Gaussian Mixture Models.https://doi.org/10.1109/SSCI44817.2019.9002852Srikanth Amudala, Samr Ali, Fatma Najar, Nizar Bouguila: Variational Inference of Finite Generalized Gaussian Mixture Models.SSCI2019: 2433-2439]]>https://dblp.org/rec/conf/ssci/AmudalaANB19Tue, 01 Jan 2019 00:00:00 +0100Distribution Based Feature Mapping for Classifying Count Data.https://doi.org/10.1109/SSCI44817.2019.9002739Md. Hafizur Rahman, Nizar Bouguila: Distribution Based Feature Mapping for Classifying Count Data.SSCI2019: 2440-2447]]>https://dblp.org/rec/conf/ssci/RahmanB19Tue, 01 Jan 2019 00:00:00 +0100Variational Inference of Finite Asymmetric Gaussian Mixture Models.https://doi.org/10.1109/SSCI44817.2019.9002954Ziyang Song, Ornela Bregu, Samr Ali, Nizar Bouguila: Variational Inference of Finite Asymmetric Gaussian Mixture Models.SSCI2019: 2448-2454]]>https://dblp.org/rec/conf/ssci/SongBAB19Tue, 01 Jan 2019 00:00:00 +0100Learning of Multivariate Beta Mixture Models via Entropy-based component splitting.https://doi.org/10.1109/SSCI44817.2019.9002803Narges Manouchehri, Maryam Rahmanpour, Nizar Bouguila, Wentao Fan: Learning of Multivariate Beta Mixture Models via Entropy-based component splitting.SSCI2019: 2825-2832]]>https://dblp.org/rec/conf/ssci/ManouchehriRBF19Tue, 01 Jan 2019 00:00:00 +0100Entropy-based variational Bayes learning framework for data clustering.https://doi.org/10.1049/iet-ipr.2018.0043Wentao Fan, Nizar Bouguila, Sami Bourouis, Yacine Laalaoui: Entropy-based variational Bayes learning framework for data clustering.IET Image Process.12(10): 1762-1772 (2018)]]>https://dblp.org/rec/journals/iet-ipr/FanBBL18Mon, 01 Jan 2018 00:00:00 +0100A purely Bayesian approach for proportional visual data modelling.https://doi.org/10.1504/IJIEI.2018.10015613Sami Bourouis, Yacine Laalaoui, Nizar Bouguila: A purely Bayesian approach for proportional visual data modelling.Int. J. Intell. Eng. Informatics6(5): 491-508 (2018)]]>https://dblp.org/rec/journals/ijiei/BourouisLB18Mon, 01 Jan 2018 00:00:00 +0100Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information.https://doi.org/10.1007/s11042-018-5808-9Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni: Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information.Multim. Tools Appl.77(19): 25591-25606 (2018)]]>https://dblp.org/rec/journals/mta/ChannoufiBBH18Mon, 01 Jan 2018 00:00:00 +0100A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models.https://doi.org/10.1007/s11063-017-9672-9Wentao Fan, Can Hu, Ji-Xiang Du, Nizar Bouguila: A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models.Neural Process. Lett.47(2): 619-639 (2018)]]>https://dblp.org/rec/journals/npl/FanHDB18Mon, 01 Jan 2018 00:00:00 +0100A fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data.https://doi.org/10.1016/j.patcog.2018.05.030Yewang Chen, Shengyu Tang, Nizar Bouguila, Cheng Wang, Ji-Xiang Du, Hailin Li: A fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data.Pattern Recognit.83: 375-387 (2018)]]>https://dblp.org/rec/journals/pr/ChenTBWDL18Mon, 01 Jan 2018 00:00:00 +0100MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models.https://doi.org/10.1007/978-3-319-89656-4_17Nuha Zamzami, Nizar Bouguila: MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models.Canadian AI2018: 211-217]]>https://dblp.org/rec/conf/ai/ZamzamiB18Mon, 01 Jan 2018 00:00:00 +0100Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution.https://doi.org/10.1109/AI4I.2018.8665686Rua Alsuroji, Nizar Bouguila, Nuha Zamzami: Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution.AI4I2018: 15-18]]>https://dblp.org/rec/conf/ai4i/AlsurojiBZ18Mon, 01 Jan 2018 00:00:00 +0100Consumption Behavior Prediction Using Hierarchical Bayesian Frameworks.https://doi.org/10.1109/AI4I.2018.8665715Nuha Zamzami, Nizar Bouguila: Consumption Behavior Prediction Using Hierarchical Bayesian Frameworks.AI4I2018: 31-34]]>https://dblp.org/rec/conf/ai4i/ZamzamiB18Mon, 01 Jan 2018 00:00:00 +0100Color image segmentation with bounded generalized Gaussian mixture model and feature selection.https://doi.org/10.1109/ATSIP.2018.8364459Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni: Color image segmentation with bounded generalized Gaussian mixture model and feature selection.ATSIP2018: 1-6]]>https://dblp.org/rec/conf/atsip/ChannoufiBBH18Mon, 01 Jan 2018 00:00:00 +0100An Accelerated Variational Framework for Face Expression Recognition.https://doi.org/10.1109/BlackSeaCom.2018.8433687Wentao Fan, Nizar Bouguila: An Accelerated Variational Framework for Face Expression Recognition.BlackSeaCom2018: 1-5]]>https://dblp.org/rec/conf/blackseecom/FanB18Mon, 01 Jan 2018 00:00:00 +0100Asymmetric Gaussian Mixtures with Reversible Jump MCMC.https://doi.org/10.1109/CCECE.2018.8447816Shuai Fu, Nizar Bouguila: Asymmetric Gaussian Mixtures with Reversible Jump MCMC.CCECE2018: 1-4]]>https://dblp.org/rec/conf/ccece/FuB18Mon, 01 Jan 2018 00:00:00 +0100A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition.https://doi.org/10.1109/CCECE.2018.8447761Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith: A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition.CCECE2018: 1-4]]>https://dblp.org/rec/conf/ccece/NajarBBB18Mon, 01 Jan 2018 00:00:00 +0100Image Segmentation Using Inverted Dirichlet Mixture Model and Spatial Information.https://doi.org/10.1109/CCECE.2018.8447795Jai Puneet Singh, Nizar Bouguila: Image Segmentation Using Inverted Dirichlet Mixture Model and Spatial Information.CCECE2018: 1-4]]>https://dblp.org/rec/conf/ccece/SinghB18Mon, 01 Jan 2018 00:00:00 +0100A Bayesian Intrusion Detection Framework.https://doi.org/10.1109/CyberSecPODS.2018.8560681Shuai Fu, Nizar Bouguila: A Bayesian Intrusion Detection Framework.Cyber Security2018: 1-8]]>https://dblp.org/rec/conf/cybersecpods/FuB18Mon, 01 Jan 2018 00:00:00 +0100Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs.https://doi.org/10.1109/ICDM.2018.00110Yewang Chen, Lida Zhou, Nizar Bouguila, Bineng Zhong, Fei Wu, Zhen Lei, Ji-Xiang Du, Hailin Li: Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs.ICDM2018: 911-916]]>https://dblp.org/rec/conf/icdm/ChenZBZWLDL18Mon, 01 Jan 2018 00:00:00 +0100A Flexible Statistical Model for Image Denoising.https://doi.org/10.1007/978-3-319-93000-8_4Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni: A Flexible Statistical Model for Image Denoising.ICIAR2018: 30-38]]>https://dblp.org/rec/conf/iciar/ChannoufiBBH18Mon, 01 Jan 2018 00:00:00 +0100Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM.https://doi.org/10.1007/978-3-319-93000-8_46Fatma Najar, Sami Bourouis, Atef Zaguia, Nizar Bouguila, Safya Belghith: Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM.ICIAR2018: 408-415]]>https://dblp.org/rec/conf/iciar/NajarBZBB18Mon, 01 Jan 2018 00:00:00 +0100Hybrid Statistical Framework for Diabetic Retinopathy Detection.https://doi.org/10.1007/978-3-319-93000-8_78Sami Bourouis, Atef Zaguia, Nizar Bouguila: Hybrid Statistical Framework for Diabetic Retinopathy Detection.ICIAR2018: 687-694]]>https://dblp.org/rec/conf/iciar/BourouisZB18Mon, 01 Jan 2018 00:00:00 +0100Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation.https://doi.org/10.1007/978-3-319-94211-7_5Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni: Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation.ICISP2018: 36-44]]>https://dblp.org/rec/conf/icisp/ChannoufiBBH18Mon, 01 Jan 2018 00:00:00 +0100Visual Scene Reconstruction Using a Bayesian Learning Framework.https://doi.org/10.1007/978-3-319-94211-7_25Sami Bourouis, Nizar Bouguila, Yexing Li, Muhammad Azam: Visual Scene Reconstruction Using a Bayesian Learning Framework.ICISP2018: 225-232]]>https://dblp.org/rec/conf/icisp/BourouisBLA18Mon, 01 Jan 2018 00:00:00 +0100Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval.https://doi.org/10.1109/ICMLA.2018.00090Muhammad Azam, Nizar Bouguila: Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval.ICMLA2018: 558-563]]>https://dblp.org/rec/conf/icmla/AzamB18Mon, 01 Jan 2018 00:00:00 +0100Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model.https://doi.org/10.1109/ICMLA.2018.00112Rua Alsuroji, Nuha Zamzami, Nizar Bouguila: Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model.ICMLA2018: 707-713]]>https://dblp.org/rec/conf/icmla/AlsurojiZB18Mon, 01 Jan 2018 00:00:00 +0100Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML.https://doi.org/10.1109/ICMLA.2018.00183Basim Alghabashi, Nizar Bouguila: Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML.ICMLA2018: 1131-1138]]>https://dblp.org/rec/conf/icmla/AlghabashiB18Mon, 01 Jan 2018 00:00:00 +0100Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization.https://doi.org/10.1109/ICMLA.2018.00195Shuai Fu, Nizar Bouguila: Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization.ICMLA2018: 1205-1208]]>https://dblp.org/rec/conf/icmla/FuB18Mon, 01 Jan 2018 00:00:00 +0100Text Modeling Using Multinomial Scaled Dirichlet Distributions.https://doi.org/10.1007/978-3-319-92058-0_7Nuha Zamzami, Nizar Bouguila: Text Modeling Using Multinomial Scaled Dirichlet Distributions.IEA/AIE2018: 69-80]]>https://dblp.org/rec/conf/ieaaie/ZamzamiB18Mon, 01 Jan 2018 00:00:00 +0100EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection.https://doi.org/10.1007/978-3-319-92058-0_33Wentao Fan, Sami Bourouis, Nizar Bouguila, Fahd M. Aldosari, Hassen Sallay, K. M. Jamil Khayyat: EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection.IEA/AIE2018: 342-354]]>https://dblp.org/rec/conf/ieaaie/FanBBASK18Mon, 01 Jan 2018 00:00:00 +0100Bayesian Learning of Finite Asymmetric Gaussian Mixtures.https://doi.org/10.1007/978-3-319-92058-0_34Shuai Fu, Nizar Bouguila: Bayesian Learning of Finite Asymmetric Gaussian Mixtures.IEA/AIE2018: 355-365]]>https://dblp.org/rec/conf/ieaaie/FuB18Mon, 01 Jan 2018 00:00:00 +0100Speaker Verification Using Adapted Bounded Gaussian Mixture Model.https://doi.org/10.1109/IRI.2018.00053Muhammad Azam, Nizar Bouguila: Speaker Verification Using Adapted Bounded Gaussian Mixture Model.IRI2018: 300-307]]>https://dblp.org/rec/conf/iri/AzamB18Mon, 01 Jan 2018 00:00:00 +0100Compositional Data Analysis with PLS-DA and Security Applications.https://doi.org/10.1109/IRI.2018.00058Divya Ankam, Nizar Bouguila: Compositional Data Analysis with PLS-DA and Security Applications.IRI2018: 338-345]]>https://dblp.org/rec/conf/iri/AnkamB18Mon, 01 Jan 2018 00:00:00 +0100A Novel Approach for Anomaly Event Detection in Videos Based on Autoencoders and SE Networks.https://doi.org/10.1109/ISIVC.2018.8709229Jiangpeng Fu, Wentao Fan, Nizar Bouguila: A Novel Approach for Anomaly Event Detection in Videos Based on Autoencoders and SE Networks.ISIVC2018: 179-184]]>https://dblp.org/rec/conf/isivc/FuFB18Mon, 01 Jan 2018 00:00:00 +0100Breast Cancer Diagnosis using Quality Control Charts and Logistic Regression.https://doi.org/10.1109/ISIVC.2018.8709214Omar Graja, Muhammad Azam, Nizar Bouguila: Breast Cancer Diagnosis using Quality Control Charts and Logistic Regression.ISIVC2018: 215-220]]>https://dblp.org/rec/conf/isivc/GrajaAB18Mon, 01 Jan 2018 00:00:00 +0100Learning of Finite Two-Dimensional Beta Mixture Models.https://doi.org/10.1109/ISIVC.2018.8709190Narges Manouchehri, Nizar Bouguila: Learning of Finite Two-Dimensional Beta Mixture Models.ISIVC2018: 227-232]]>https://dblp.org/rec/conf/isivc/ManouchehriB18Mon, 01 Jan 2018 00:00:00 +0100A Finite Multi-Dimensional Generalized Gamma Mixture Model.https://doi.org/10.1109/Cybermatics_2018.2018.00158Basim Alghabashi, Nizar Bouguila: A Finite Multi-Dimensional Generalized Gamma Mixture Model.iThings/GreenCom/CPSCom/SmartData2018: 807-814]]>https://dblp.org/rec/conf/ithings/AlghabashiB18Mon, 01 Jan 2018 00:00:00 +0100Infinite Scaled Dirichlet Mixture Models for Spam Filtering via Bayesian and Variational Bayes Learning.https://doi.org/10.1109/Cybermatics_2018.2018.00306Fahd M. Aldosari, Sami Bourouis, Nizar Bouguila, Hassen Sallay, Khalid M. Jamil Khayyat: Infinite Scaled Dirichlet Mixture Models for Spam Filtering via Bayesian and Variational Bayes Learning.iThings/GreenCom/CPSCom/SmartData2018: 1841-1847]]>https://dblp.org/rec/conf/ithings/AldosariBBSK18Mon, 01 Jan 2018 00:00:00 +0100Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model.https://doi.org/10.1109/MWSCAS.2018.8623889Muhammad Azam, Nizar Bouguila: Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model.MWSCAS2018: 833-836]]>https://dblp.org/rec/conf/mwscas/AzamB18Mon, 01 Jan 2018 00:00:00 +0100A Smoothed Latent Generalized Dirichlet Allocation Model in the Collapsed Space.https://doi.org/10.1109/MWSCAS.2018.8623978Koffi Eddy Ihou, Nizar Bouguila: A Smoothed Latent Generalized Dirichlet Allocation Model in the Collapsed Space.MWSCAS2018: 877-880]]>https://dblp.org/rec/conf/mwscas/IhouB18Mon, 01 Jan 2018 00:00:00 +0100Proportional data modeling via entropy-based variational bayes learning of mixture models.https://doi.org/10.1007/s10489-017-0909-0Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila, Ji-Xiang Du: Proportional data modeling via entropy-based variational bayes learning of mixture models.Appl. Intell.47(2): 473-487 (2017)]]>https://dblp.org/rec/journals/apin/FanABD17Sun, 01 Jan 2017 00:00:00 +0100Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection.https://doi.org/10.1109/TNNLS.2016.2574500Wentao Fan, Hassen Sallay, Nizar Bouguila: Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection.IEEE Trans. Neural Networks Learn. Syst.28(9): 2048-2061 (2017)]]>https://dblp.org/rec/journals/tnn/FanSB17Sun, 01 Jan 2017 00:00:00 +0100Intrusion Detection Using Unsupervised Approach.https://doi.org/10.1007/978-3-319-67837-5_18Jai Puneet Singh, Nizar Bouguila: Intrusion Detection Using Unsupervised Approach.AFRICATEK2017: 192-201]]>https://dblp.org/rec/conf/africatek/SinghB17Sun, 01 Jan 2017 00:00:00 +0100Video Forgery Detection Using a Bayesian RJMCMC-Based Approach.https://doi.org/10.1109/AICCSA.2017.43Sami Bourouis, Faisal R. Al-Osaimi, Nizar Bouguila, Hassen Sallay, Fahd M. Aldosari, Mohamed Al Mashrgy: Video Forgery Detection Using a Bayesian RJMCMC-Based Approach.AICCSA2017: 71-75]]>https://dblp.org/rec/conf/aiccsa/BourouisABSAM17Sun, 01 Jan 2017 00:00:00 +0100A Comparison Between Different Gaussian-Based Mixture Models.https://doi.org/10.1109/AICCSA.2017.108Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith: A Comparison Between Different Gaussian-Based Mixture Models.AICCSA2017: 704-708]]>https://dblp.org/rec/conf/aiccsa/NajarBBB17Sun, 01 Jan 2017 00:00:00 +0100Spatially constrained non-Gaussian mixture model for image segmentation.https://doi.org/10.1109/CCECE.2017.7946595Jai Puneet Singh, Nizar Bouguila: Spatially constrained non-Gaussian mixture model for image segmentation.CCECE2017: 1-4]]>https://dblp.org/rec/conf/ccece/SinghB17Sun, 01 Jan 2017 00:00:00 +0100A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation.https://doi.org/10.1109/ICASSP.2017.7952661Wentao Fan, Nizar Bouguila, Xin Liu: A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation.ICASSP2017: 2771-2775]]>https://dblp.org/rec/conf/icassp/FanBL17Sun, 01 Jan 2017 00:00:00 +0100Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data.https://doi.org/10.1109/ICASSP.2017.7952668Walid Masoudimansour, Nizar Bouguila: Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data.ICASSP2017: 2806-2810]]>https://dblp.org/rec/conf/icassp/MasoudimansourB17Sun, 01 Jan 2017 00:00:00 +0100FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree.https://doi.org/10.1109/ICDMW.2017.166Yewang Chen, Jai Puneet Singh, Lida Zhou, Nizar Bouguila: FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree.ICDM Workshops2017: 1160-1165]]>https://dblp.org/rec/conf/icdm/ChenSZB17Sun, 01 Jan 2017 00:00:00 +0100Proportional data clustering using K-means algorithm: A comparison of different distances.https://doi.org/10.1109/ICIT.2017.7915506Jai Puneet Singh, Nizar Bouguila: Proportional data clustering using K-means algorithm: A comparison of different distances.ICIT2017: 1048-1052]]>https://dblp.org/rec/conf/icit2/SinghB17Sun, 01 Jan 2017 00:00:00 +0100Unsupervised learning of finite mixtures using scaled dirichlet distribution and its application to software modules categorization.https://doi.org/10.1109/ICIT.2017.7915513Bromensele Samuel Oboh, Nizar Bouguila: Unsupervised learning of finite mixtures using scaled dirichlet distribution and its application to software modules categorization.ICIT2017: 1085-1090]]>https://dblp.org/rec/conf/icit2/ObohB17Sun, 01 Jan 2017 00:00:00 +0100A new latent generalized dirichlet allocation model for image classification.https://doi.org/10.1109/IPTA.2017.8310106Koffi Eddy Ihou, Nizar Bouguila: A new latent generalized dirichlet allocation model for image classification.IPTA2017: 1-6]]>https://dblp.org/rec/conf/ipta/IhouB17Sun, 01 Jan 2017 00:00:00 +0100Spatially constrained Generalized Dirichlet mixture model for image segmentation.https://doi.org/10.1109/MWSCAS.2017.8052880Jai Puneet Singh, Nizar Bouguila: Spatially constrained Generalized Dirichlet mixture model for image segmentation.MWSCAS2017: 140-143]]>https://dblp.org/rec/conf/mwscas/SinghB17Sun, 01 Jan 2017 00:00:00 +0100Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering.https://doi.org/10.1007/s10489-015-0714-6Taoufik Bdiri, Nizar Bouguila, Djemel Ziou: Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering.Appl. Intell.44(3): 507-525 (2016)]]>https://dblp.org/rec/journals/apin/BdiriBZ16Fri, 01 Jan 2016 00:00:00 +0100A Bayesian analysis of spherical pattern based on finite Langevin mixture.https://doi.org/10.1016/j.asoc.2015.10.024Ola Amayri, Nizar Bouguila: A Bayesian analysis of spherical pattern based on finite Langevin mixture.Appl. Soft Comput.38: 373-383 (2016)]]>https://dblp.org/rec/journals/asc/AmayriB16Fri, 01 Jan 2016 00:00:00 +0100A statistical framework for online learning using adjustable model selection criteria.https://doi.org/10.1016/j.engappai.2015.10.011Taoufik Bdiri, Nizar Bouguila, Djemel Ziou: A statistical framework for online learning using adjustable model selection criteria.Eng. Appl. Artif. Intell.49: 19-42 (2016)]]>https://dblp.org/rec/journals/eaai/BdiriBZ16Fri, 01 Jan 2016 00:00:00 +0100A latent Beta-Liouville allocation model.https://doi.org/10.1016/j.eswa.2015.09.044Ali Shojaee Bakhtiari, Nizar Bouguila: A latent Beta-Liouville allocation model.Expert Syst. Appl.45: 260-272 (2016)]]>https://dblp.org/rec/journals/eswa/BakhtiariB16Fri, 01 Jan 2016 00:00:00 +0100Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models.https://doi.org/10.1007/s11063-015-9466-xWentao Fan, Nizar Bouguila: Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models.Neural Process. Lett.44(2): 431-449 (2016)]]>https://dblp.org/rec/journals/npl/FanB16Fri, 01 Jan 2016 00:00:00 +0100Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas.https://doi.org/10.1016/j.patcog.2016.02.004Elise Epaillard, Nizar Bouguila: Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas.Pattern Recognit.55: 125-136 (2016)]]>https://dblp.org/rec/journals/pr/EpaillardB16Fri, 01 Jan 2016 00:00:00 +0100Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications.https://doi.org/10.1007/s00500-014-1557-5Wentao Fan, Hassen Sallay, Nizar Bouguila, Sami Bourouis: Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications.Soft Comput.20(3): 979-990 (2016)]]>https://dblp.org/rec/journals/soco/FanSBB16Fri, 01 Jan 2016 00:00:00 +0100Trust and Reputation of Web Services Through QoS Correlation Lens.https://doi.org/10.1109/TSC.2015.2426185Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar: Trust and Reputation of Web Services Through QoS Correlation Lens.IEEE Trans. Serv. Comput.9(6): 968-981 (2016)]]>https://dblp.org/rec/journals/tsc/MehdiBB16Fri, 01 Jan 2016 00:00:00 +0100RJMCMC learning for clustering and feature selection of L2-normalized vectors.https://doi.org/10.1109/CoDIT.2016.7593572Ola Amayri, Nizar Bouguila: RJMCMC learning for clustering and feature selection of L2-normalized vectors.CoDIT2016: 269-274]]>https://dblp.org/rec/conf/codit/AmayriB16Fri, 01 Jan 2016 00:00:00 +0100Accelerated variational inference for Beta-Liouville mixture learning with application to 3D shapes recognition.https://doi.org/10.1109/CoDIT.2016.7593595Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila, Ji-Xiang Du: Accelerated variational inference for Beta-Liouville mixture learning with application to 3D shapes recognition.CoDIT2016: 394-398]]>https://dblp.org/rec/conf/codit/FanABD16Fri, 01 Jan 2016 00:00:00 +0100Infinite Langevin Mixture Modeling and Feature Selection.https://doi.org/10.1109/DSAA.2016.22Ola Amayri, Nizar Bouguila: Infinite Langevin Mixture Modeling and Feature Selection.DSAA2016: 149-155]]>https://dblp.org/rec/conf/dsaa/AmayriB16Fri, 01 Jan 2016 00:00:00 +0100Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model.https://doi.org/10.1007/978-3-319-33618-3_20Muhammad Azam, Nizar Bouguila: Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model.ICISP2016: 193-202]]>https://dblp.org/rec/conf/icisp/AzamB16Fri, 01 Jan 2016 00:00:00 +0100Deformable models based object tracking: Challenges and current researches.https://doi.org/10.1109/ICMCS.2016.7905646Ines Channoufi, Sami Bourouis, Kamel Hamrouni, Nizar Bouguila: Deformable models based object tracking: Challenges and current researches.ICMCS2016: 35-40]]>https://dblp.org/rec/conf/icmcs2/ChannoufiBHB16Fri, 01 Jan 2016 00:00:00 +0100A novel 3D model recognition approach using Pitman-Yor process mixtures of Beta-Liouville Distributions.https://doi.org/10.1109/ISCAS.2016.7538965Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila: A novel 3D model recognition approach using Pitman-Yor process mixtures of Beta-Liouville Distributions.ISCAS2016: 1986-1989]]>https://dblp.org/rec/conf/iscas/FanAB16Fri, 01 Jan 2016 00:00:00 +0100View-Based 3D Objects Recognition with Expectation Propagation Learning.https://doi.org/10.1007/978-3-319-50832-0_35Adrien Bertrand, Faisal R. Al-Osaimi, Nizar Bouguila: View-Based 3D Objects Recognition with Expectation Propagation Learning.ISVC (2)2016: 359-369]]>https://dblp.org/rec/conf/isvc/BertrandAB16Fri, 01 Jan 2016 00:00:00 +0100A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification.https://doi.org/10.1007/978-3-319-50832-0_39Wentao Fan, Nizar Bouguila: A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification.ISVC (2)2016: 399-409]]>https://dblp.org/rec/conf/isvc/FanB16Fri, 01 Jan 2016 00:00:00 +0100Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data.https://doi.org/10.1109/MMSP.2016.7813403Walid Masoudimansour, Nizar Bouguila: Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data.MMSP2016: 1-6]]>https://dblp.org/rec/conf/mmsp/MasoudimansourB16Fri, 01 Jan 2016 00:00:00 +0100A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection.https://doi.org/10.1016/j.compeleceng.2015.03.018Wentao Fan, Hassen Sallay, Nizar Bouguila, Sami Bourouis: A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection.Comput. Electr. Eng.43: 48-65 (2015)]]>https://dblp.org/rec/journals/cee/FanSBB15Thu, 01 Jan 2015 00:00:00 +0100Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting.https://doi.org/10.1016/j.dsp.2015.02.014Tarek Elguebaly, Nizar Bouguila: Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting.Digit. Signal Process.40: 63-79 (2015)]]>https://dblp.org/rec/journals/dsp/ElguebalyB15Thu, 01 Jan 2015 00:00:00 +0100Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering.https://doi.org/10.1016/j.engappai.2015.03.016Wentao Fan, Nizar Bouguila: Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering.Eng. Appl. Artif. Intell.43: 1-14 (2015)]]>https://dblp.org/rec/journals/eaai/FanB15Thu, 01 Jan 2015 00:00:00 +0100Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models.https://doi.org/10.1016/j.imavis.2014.10.011Tarek Elguebaly, Nizar Bouguila: Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models.Image Vis. Comput.34: 27-41 (2015)]]>https://dblp.org/rec/journals/ivc/ElguebalyB15Thu, 01 Jan 2015 00:00:00 +0100Semisupervised online learning of hierarchical structures for visual object classification.https://doi.org/10.1007/s11042-013-1719-yAli Shojaee Bakhtiari, Nizar Bouguila: Semisupervised online learning of hierarchical structures for visual object classification.Multim. Tools Appl.74(6): 1805-1822 (2015)]]>https://dblp.org/rec/journals/mta/BakhtiariB15Thu, 01 Jan 2015 00:00:00 +0100Face detection and facial expression recognition using simultaneous clustering and feature selection via an expectation propagation statistical learning framework.https://doi.org/10.1007/s11042-013-1548-zWentao Fan, Nizar Bouguila: Face detection and facial expression recognition using simultaneous clustering and feature selection via an expectation propagation statistical learning framework.Multim. Tools Appl.74(12): 4303-4327 (2015)]]>https://dblp.org/rec/journals/mta/FanB15Thu, 01 Jan 2015 00:00:00 +0100Beyond hybrid generative discriminative learning: spherical data classification.https://doi.org/10.1007/s10044-013-0323-0Ola Amayri, Nizar Bouguila: Beyond hybrid generative discriminative learning: spherical data classification.Pattern Anal. Appl.18(1): 113-133 (2015)]]>https://dblp.org/rec/journals/paa/AmayriB15Thu, 01 Jan 2015 00:00:00 +0100A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification.https://doi.org/10.1007/s00500-014-1242-8Tarek Elguebaly, Nizar Bouguila: A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification.Soft Comput.19(1): 189-204 (2015)]]>https://dblp.org/rec/journals/soco/ElguebalyB15Thu, 01 Jan 2015 00:00:00 +0100Image and video spatial super-resolution via bandlet-based sparsity regularization and structure tensor.https://doi.org/10.1016/j.image.2014.10.010Ali Mosleh, Nizar Bouguila, A. Ben Hamza: Image and video spatial super-resolution via bandlet-based sparsity regularization and structure tensor.Signal Process. Image Commun.30: 137-146 (2015)]]>https://dblp.org/rec/journals/spic/MoslehBH15Thu, 01 Jan 2015 00:00:00 +01003D object modeling and recognition via online hierarchical Pitman-yor process mixture learning.https://doi.org/10.1109/GlobalSIP.2015.7418235Wentao Fan, Faisal R. Al-Osaimi, Nizar Bouguila, Ji-Xiang Du: 3D object modeling and recognition via online hierarchical Pitman-yor process mixture learning.GlobalSIP2015: 448-452]]>https://dblp.org/rec/conf/globalsip/FanABD15Thu, 01 Jan 2015 00:00:00 +0100Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA.https://doi.org/10.1109/GlobalSIP.2015.7418378Muhammad Azam, Nizar Bouguila: Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA.GlobalSIP2015: 1150-1154]]>https://dblp.org/rec/conf/globalsip/AzamB15Thu, 01 Jan 2015 00:00:00 +0100Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution.https://doi.org/10.1007/978-3-319-20801-5_15Walid Masoudimansour, Nizar Bouguila: Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution.ICIAR2015: 141-149]]>https://dblp.org/rec/conf/iciar/MasoudimansourB15Thu, 01 Jan 2015 00:00:00 +0100Semantic Scene Classification with Generalized Gaussian Mixture Models.https://doi.org/10.1007/978-3-319-20801-5_17Tarek Elguebaly, Nizar Bouguila: Semantic Scene Classification with Generalized Gaussian Mixture Models.ICIAR2015: 159-166]]>https://dblp.org/rec/conf/iciar/ElguebalyB15Thu, 01 Jan 2015 00:00:00 +0100Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions.https://doi.org/10.1109/ICIP.2015.7350807Wentao Fan, Nizar Bouguila: Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions.ICIP2015: 296-300]]>https://dblp.org/rec/conf/icip/FanB15Thu, 01 Jan 2015 00:00:00 +0100Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models.https://doi.org/10.1109/ICMLA.2015.70Wentao Fan, Nizar Bouguila: Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models.ICMLA2015: 70-75]]>https://dblp.org/rec/conf/icmla/FanB15Thu, 01 Jan 2015 00:00:00 +0100Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models.https://doi.org/10.1109/ICMLA.2015.68Wentao Fan, Hassen Sallay, Nizar Bouguila, Ji-Xiang Du: Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models.ICMLA2015: 451-456]]>https://dblp.org/rec/conf/icmla/FanSBD15Thu, 01 Jan 2015 00:00:00 +0100A Finite Gamma Mixture Model-Based Discriminative Learning Frameworks.https://doi.org/10.1109/ICMLA.2015.77Faisal R. Al-Osaimi, Nizar Bouguila: A Finite Gamma Mixture Model-Based Discriminative Learning Frameworks.ICMLA2015: 819-824]]>https://dblp.org/rec/conf/icmla/Al-OsaimiB15Thu, 01 Jan 2015 00:00:00 +0100Hybrid hidden Markov model for mixed continuous/continuous and discrete/continuous data modeling.https://doi.org/10.1109/MMSP.2015.7340853Elise Epaillard, Nizar Bouguila: Hybrid hidden Markov model for mixed continuous/continuous and discrete/continuous data modeling.MMSP2015: 1-6]]>https://dblp.org/rec/conf/mmsp/EpaillardB15Thu, 01 Jan 2015 00:00:00 +0100Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model.https://doi.org/10.1007/978-3-319-23540-0_12Mohamad Mehdi, Elise Epaillard, Nizar Bouguila, Jamal Bentahar: Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model.SUM2015: 170-185]]>https://dblp.org/rec/conf/sum/MehdiEBB15Thu, 01 Jan 2015 00:00:00 +0100A Statistical Framework for Mental Targets Search Using Mixture Models.https://doi.org/10.1007/978-3-319-19833-0_5Taoufik Bdiri, Nizar Bouguila, Djemel Ziou: A Statistical Framework for Mental Targets Search Using Mixture Models.Artificial Intelligence Applications in Information and Communication Technologies2015: 99-118]]>https://dblp.org/rec/series/sci/BdiriBZ15Thu, 01 Jan 2015 00:00:00 +0100Variational Learning of Finite Inverted Dirichlet Mixture Models and Applications.https://doi.org/10.1007/978-3-319-19833-0_6Parisa Tirdad, Nizar Bouguila, Djemel Ziou: Variational Learning of Finite Inverted Dirichlet Mixture Models and Applications.Artificial Intelligence Applications in Information and Communication Technologies2015: 119-145]]>https://dblp.org/rec/series/sci/TirdadBZ15Thu, 01 Jan 2015 00:00:00 +0100A Fully Bayesian Framework for Positive Data Clustering.https://doi.org/10.1007/978-3-319-19833-0_7Mohamed Al Mashrgy, Nizar Bouguila: A Fully Bayesian Framework for Positive Data Clustering.Artificial Intelligence Applications in Information and Communication Technologies2015: 147-164]]>https://dblp.org/rec/series/sci/MashrgyB15Thu, 01 Jan 2015 00:00:00 +0100Artificial Intelligence Applications in Information and Communication Technologies.https://doi.org/10.1007/978-3-319-19833-0Yacine Laalaoui, Nizar Bouguila: Artificial Intelligence Applications in Information and Communication Technologies.Studies in Computational Intelligence 607, Springer2015, ISBN 978-3-319-19832-3[contents]]]>https://dblp.org/rec/series/sci/2015-607Thu, 01 Jan 2015 00:00:00 +0100Probabilistic approach for QoS-aware recommender system for trustworthy web service selection.https://doi.org/10.1007/s10489-014-0537-xMohamad Mehdi, Nizar Bouguila, Jamal Bentahar: Probabilistic approach for QoS-aware recommender system for trustworthy web service selection.Appl. Intell.41(2): 503-524 (2014)]]>https://dblp.org/rec/journals/apin/MehdiBB14Wed, 01 Jan 2014 00:00:00 +0100A variational Bayes model for count data learning and classification.https://doi.org/10.1016/j.engappai.2014.06.023Ali Shojaee Bakhtiari, Nizar Bouguila: A variational Bayes model for count data learning and classification.Eng. Appl. Artif. Intell.35: 176-186 (2014)]]>https://dblp.org/rec/journals/eaai/BakhtiariB14Wed, 01 Jan 2014 00:00:00 +0100Object clustering and recognition using multi-finite mixtures for semantic classes and hierarchy modeling.https://doi.org/10.1016/j.eswa.2013.08.005Taoufik Bdiri, Nizar Bouguila, Djemel Ziou: Object clustering and recognition using multi-finite mixtures for semantic classes and hierarchy modeling.Expert Syst. Appl.41(4): 1218-1235 (2014)]]>https://dblp.org/rec/journals/eswa/BdiriBZ14Wed, 01 Jan 2014 00:00:00 +0100Pre-run-time scheduling in real-time systems: Current researches and Artificial Intelligence perspectives.https://doi.org/10.1016/j.eswa.2013.09.018Yacine Laalaoui, Nizar Bouguila: Pre-run-time scheduling in real-time systems: Current researches and Artificial Intelligence perspectives.Expert Syst. Appl.41(5): 2196-2210 (2014)]]>https://dblp.org/rec/journals/eswa/LaalaouiB14Wed, 01 Jan 2014 00:00:00 +0100Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection.https://doi.org/10.1016/j.eswa.2013.09.030Sami Bourouis, Mohamed Al Mashrgy, Nizar Bouguila: Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection.Expert Syst. Appl.41(5): 2329-2336 (2014)]]>https://dblp.org/rec/journals/eswa/BourouisMB14Wed, 01 Jan 2014 00:00:00 +0100Online variational learning of generalized Dirichlet mixture models with feature selection.https://doi.org/10.1016/j.neucom.2012.09.047Wentao Fan, Nizar Bouguila: Online variational learning of generalized Dirichlet mixture models with feature selection.Neurocomputing126: 166-179 (2014)]]>https://dblp.org/rec/journals/ijon/FanB14Wed, 01 Jan 2014 00:00:00 +0100Variational learning of finite Dirichlet mixture models using component splitting.https://doi.org/10.1016/j.neucom.2013.03.049Wentao Fan, Nizar Bouguila, Djemel Ziou: Variational learning of finite Dirichlet mixture models using component splitting.Neurocomputing129: 3-16 (2014)]]>https://dblp.org/rec/journals/ijon/FanBZ14Wed, 01 Jan 2014 00:00:00 +0100Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain.https://doi.org/10.1002/ima.22098Michael Osadebey, Nizar Bouguila, Douglas L. Arnold: Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain.Int. J. Imaging Syst. Technol.24(3): 224-238 (2014)]]>https://dblp.org/rec/journals/imst/OsadebeyBA14Wed, 01 Jan 2014 00:00:00 +0100Bandlet-based sparsity regularization in video inpainting.https://doi.org/10.1016/j.jvcir.2014.01.007Ali Mosleh, Nizar Bouguila, A. Ben Hamza: Bandlet-based sparsity regularization in video inpainting.J. Vis. Commun. Image Represent.25(5): 855-863 (2014)]]>https://dblp.org/rec/journals/jvcir/MoslehBH14Wed, 01 Jan 2014 00:00:00 +0100Robust simultaneous positive data clustering and unsupervised feature selection using generalized inverted Dirichlet mixture models.https://doi.org/10.1016/j.knosys.2014.01.007Mohamed Al Mashrgy, Taoufik Bdiri, Nizar Bouguila: Robust simultaneous positive data clustering and unsupervised feature selection using generalized inverted Dirichlet mixture models.Knowl. Based Syst.59: 182-195 (2014)]]>https://dblp.org/rec/journals/kbs/MashrgyBB14Wed, 01 Jan 2014 00:00:00 +0100Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications.https://doi.org/10.1007/s11042-012-1191-0Wentao Fan, Nizar Bouguila: Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications.Multim. Tools Appl.70(3): 1685-1702 (2014)]]>https://dblp.org/rec/journals/mta/FanB14Wed, 01 Jan 2014 00:00:00 +0100Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection.https://doi.org/10.1007/s00138-013-0568-zTarek Elguebaly, Nizar Bouguila: Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection.Mach. Vis. Appl.25(5): 1145-1162 (2014)]]>https://dblp.org/rec/journals/mva/ElguebalyB14Wed, 01 Jan 2014 00:00:00 +0100Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications.https://doi.org/10.1007/s11063-013-9293-xWentao Fan, Nizar Bouguila: Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications.Neural Process. Lett.39(2): 115-135 (2014)]]>https://dblp.org/rec/journals/npl/FanB14Wed, 01 Jan 2014 00:00:00 +0100Online redundant image elimination and its application to wireless capsule endoscopy.https://doi.org/10.1007/s11760-012-0384-3Chunyuan Li, A. Ben Hamza, Nizar Bouguila, Xinhong Wang, Fanhua Ming, Guohua Xiao: Online redundant image elimination and its application to wireless capsule endoscopy.Signal Image Video Process.8(8): 1497-1506 (2014)]]>https://dblp.org/rec/journals/sivp/LiHBWMX14Wed, 01 Jan 2014 00:00:00 +0100Reputation in Communities of Agent-Based Web Services Through Data Mining.https://doi.org/10.1007/978-3-319-20230-3_7Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar: Reputation in Communities of Agent-Based Web Services Through Data Mining.ADMI2014: 79-92]]>https://dblp.org/rec/conf/admi/MehdiBB14Wed, 01 Jan 2014 00:00:00 +0100Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling.https://doi.org/10.1007/978-3-319-11656-3_7Elise Epaillard, Nizar Bouguila: Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling.ANNPR2014: 71-82]]>https://dblp.org/rec/conf/annpr/EpaillardB14Wed, 01 Jan 2014 00:00:00 +0100Correlated multi-dimensional qos metrics for trust evaluation within web services.http://dl.acm.org/citation.cfm?id=2616084Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar: Correlated multi-dimensional qos metrics for trust evaluation within web services.AAMAS2014: 1605-1606]]>https://dblp.org/rec/conf/atal/MehdiBB14Wed, 01 Jan 2014 00:00:00 +0100A model-based discriminative framework for sets of positive vectors classification: Application to object categorization.https://doi.org/10.1109/ATSIP.2014.6834621Nizar Bouguila: A model-based discriminative framework for sets of positive vectors classification: Application to object categorization.ATSIP2014: 277-282]]>https://dblp.org/rec/conf/atsip/Bouguila14Wed, 01 Jan 2014 00:00:00 +0100Improving codebook generation for action recognition using a mixture of Asymmetric Gaussians.https://doi.org/10.1109/CIMSIVP.2014.7013267Tarek Elguebaly, Nizar Bouguila: Improving codebook generation for action recognition using a mixture of Asymmetric Gaussians.CIMSIVP2014: 23-28]]>https://dblp.org/rec/conf/cimsivp/ElguebalyB14Wed, 01 Jan 2014 00:00:00 +0100Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy.https://doi.org/10.1109/CRV.2014.43Tarek Elguebaly, Nizar Bouguila: Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy.CRV2014: 268-275]]>https://dblp.org/rec/conf/crv/ElguebalyB14Wed, 01 Jan 2014 00:00:00 +0100Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions.https://doi.org/10.1007/978-3-662-43984-5_2Wentao Fan, Nizar Bouguila: Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions.DASFAA Workshops2014: 18-32]]>https://dblp.org/rec/conf/dasfaa/FanB14Wed, 01 Jan 2014 00:00:00 +0100A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection.https://doi.org/10.1007/978-3-319-11298-5_1Wentao Fan, Hassen Sallay, Nizar Bouguila, Sami Bourouis: A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection.ICAIS2014: 1-10]]>https://dblp.org/rec/conf/icais/FanSBB14Wed, 01 Jan 2014 00:00:00 +0100Classifying Textures with Only 10 Visual-Words Using Hidden Markov Models with Dirichlet Mixtures.https://doi.org/10.1007/978-3-319-11298-5_3Elise Epaillard, Nizar Bouguila, Djemel Ziou: Classifying Textures with Only 10 Visual-Words Using Hidden Markov Models with Dirichlet Mixtures.ICAIS2014: 20-28]]>https://dblp.org/rec/conf/icais/EpaillardBZ14Wed, 01 Jan 2014 00:00:00 +0100A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach.https://doi.org/10.1007/978-3-319-11298-5_4Tarek Elguebaly, Nizar Bouguila: A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach.ICAIS2014: 29-39]]>https://dblp.org/rec/conf/icais/ElguebalyB14Wed, 01 Jan 2014 00:00:00 +0100QoS-Based Reputation Feedback Fusion under Unknown Correlation.https://doi.org/10.1007/978-3-319-11298-5_18Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar: QoS-Based Reputation Feedback Fusion under Unknown Correlation.ICAIS2014: 172-181]]>https://dblp.org/rec/conf/icais/MehdiBB14Wed, 01 Jan 2014 00:00:00 +0100Web Service Intrusion Detection Using a Probabilistic Framework.https://doi.org/10.1007/978-3-319-08422-0_24Hassen Sallay, Sami Bourouis, Nizar Bouguila: Web Service Intrusion Detection Using a Probabilistic Framework.ICSEng2014: 161-166]]>https://dblp.org/rec/conf/icseng/SallayBB14Wed, 01 Jan 2014 00:00:00 +0100Online Learning for Two Novel Latent Topic Models.https://doi.org/10.1007/978-3-642-55032-4_28Ali Shojaee Bakhtiari, Nizar Bouguila: Online Learning for Two Novel Latent Topic Models.ICT-EurAsia2014: 286-295]]>https://dblp.org/rec/conf/ict-eurasia/BakhtiariB14Wed, 01 Jan 2014 00:00:00 +0100An Infinite Mixture Model of Generalized Inverted Dirichlet Distributions for High-Dimensional Positive Data Modeling.https://doi.org/10.1007/978-3-642-55032-4_29Nizar Bouguila, Mohamed Al Mashrgy: An Infinite Mixture Model of Generalized Inverted Dirichlet Distributions for High-Dimensional Positive Data Modeling.ICT-EurAsia2014: 296-305]]>https://dblp.org/rec/conf/ict-eurasia/BouguilaM14Wed, 01 Jan 2014 00:00:00 +0100Infinite Dirichlet mixture models learning via expectation propagation.https://doi.org/10.1007/s11634-013-0152-4Wentao Fan, Nizar Bouguila: Infinite Dirichlet mixture models learning via expectation propagation.Adv. Data Anal. Classif.7(4): 465-489 (2013)]]>https://dblp.org/rec/journals/adac/FanB13Tue, 01 Jan 2013 00:00:00 +0100Finite asymmetric generalized Gaussian mixture models learning for infrared object detection.https://doi.org/10.1016/j.cviu.2013.07.007Tarek Elguebaly, Nizar Bouguila: Finite asymmetric generalized Gaussian mixture models learning for infrared object detection.Comput. Vis. Image Underst.117(12): 1659-1671 (2013)]]>https://dblp.org/rec/journals/cviu/ElguebalyB13Tue, 01 Jan 2013 00:00:00 +0100On online high-dimensional spherical data clustering and feature selection.https://doi.org/10.1016/j.engappai.2012.10.009Ola Amayri, Nizar Bouguila: On online high-dimensional spherical data clustering and feature selection.Eng. Appl. Artif. Intell.26(4): 1386-1398 (2013)]]>https://dblp.org/rec/journals/eaai/AmayriB13Tue, 01 Jan 2013 00:00:00 +0100The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI.https://doi.org/10.1002/ima.22065Michael Osadebey, Nizar Bouguila, Douglas L. Arnold: The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI.Int. J. Imaging Syst. Technol.23(4): 304-313 (2013)]]>https://dblp.org/rec/journals/imst/OsadebeyBA13Tue, 01 Jan 2013 00:00:00 +0100Deriving kernels from generalized Dirichlet mixture models and applications.https://doi.org/10.1016/j.ipm.2012.06.002Nizar Bouguila: Deriving kernels from generalized Dirichlet mixture models and applications.Inf. Process. Manag.49(1): 123-137 (2013)]]>https://dblp.org/rec/journals/ipm/Bouguila13Tue, 01 Jan 2013 00:00:00 +0100Bayesian learning of inverted Dirichlet mixtures for SVM kernels generation.https://doi.org/10.1007/s00521-012-1094-zTaoufik Bdiri, Nizar Bouguila: Bayesian learning of inverted Dirichlet mixtures for SVM kernels generation.Neural Comput. Appl.23(5): 1443-1458 (2013)]]>https://dblp.org/rec/journals/nca/BdiriB13Tue, 01 Jan 2013 00:00:00 +0100On the smoothing of multinomial estimates using Liouville mixture models and applications.https://doi.org/10.1007/s10044-011-0236-8Nizar Bouguila: On the smoothing of multinomial estimates using Liouville mixture models and applications.Pattern Anal. Appl.16(3): 349-363 (2013)]]>https://dblp.org/rec/journals/paa/Bouguila13Tue, 01 Jan 2013 00:00:00 +0100Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection.https://doi.org/10.1016/j.patcog.2013.03.026Wentao Fan, Nizar Bouguila: Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection.Pattern Recognit.46(10): 2754-2769 (2013)]]>https://dblp.org/rec/journals/pr/FanB13Tue, 01 Jan 2013 00:00:00 +0100Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models.https://doi.org/10.1016/j.sigpro.2012.07.037Tarek Elguebaly, Nizar Bouguila: Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models.Signal Process.93(6): 1531-1546 (2013)]]>https://dblp.org/rec/journals/sigpro/ElguebalyB13Tue, 01 Jan 2013 00:00:00 +0100Automatic Inpainting Scheme for Video Text Detection and Removal.https://doi.org/10.1109/TIP.2013.2273672Ali Mosleh, Nizar Bouguila, Abdessamad Ben Hamza: Automatic Inpainting Scheme for Video Text Detection and Removal.IEEE Trans. Image Process.22(11): 4460-4472 (2013)]]>https://dblp.org/rec/journals/tip/MoslehBH13Tue, 01 Jan 2013 00:00:00 +0100Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference.https://doi.org/10.1109/TKDE.2012.101Wentao Fan, Nizar Bouguila, Djemel Ziou: Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference.IEEE Trans. Knowl. Data Eng.25(7): 1670-1685 (2013)]]>https://dblp.org/rec/journals/tkde/FanBZ13Tue, 01 Jan 2013 00:00:00 +0100Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference.https://doi.org/10.1109/TNNLS.2013.2268461Wentao Fan, Nizar Bouguila: Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference.IEEE Trans. Neural Networks Learn. Syst.24(11): 1850-1862 (2013)]]>https://dblp.org/rec/journals/tnn/FanB13Tue, 01 Jan 2013 00:00:00 +0100Online Facial Expression Recognition Based on Finite Beta-Liouville Mixture Models.https://doi.org/10.1109/CRV.2013.17Wentao Fan, Nizar Bouguila: Online Facial Expression Recognition Based on Finite Beta-Liouville Mixture Models.CRV2013: 37-44]]>https://dblp.org/rec/conf/crv/FanB13Tue, 01 Jan 2013 00:00:00 +0100A Bayesian Approach for the Classification of Mammographic Masses.https://doi.org/10.1109/DeSE.2013.26Tarek Elguebaly, Nizar Bouguila: A Bayesian Approach for the Classification of Mammographic Masses.DeSE2013: 99-104]]>https://dblp.org/rec/conf/dese/ElguebalyB13Tue, 01 Jan 2013 00:00:00 +0100Video background subtraction using online infinite dirichlet mixture models.https://ieeexplore.ieee.org/document/6811438/Wentao Fan, Nizar Bouguila: Video background subtraction using online infinite dirichlet mixture models.EUSIPCO2013: 1-5]]>https://dblp.org/rec/conf/eusipco/FanB13Tue, 01 Jan 2013 00:00:00 +0100Spatio-temporal object recognition using variational learning of an infinite statistical model.https://ieeexplore.ieee.org/document/6811399/Wentao Fan, Nizar Bouguila: Spatio-temporal object recognition using variational learning of an infinite statistical model.EUSIPCO2013: 1-5]]>https://dblp.org/rec/conf/eusipco/FanB13aTue, 01 Jan 2013 00:00:00 +0100A statistical framework for positive data clustering with feature selection: Application to object detection.https://ieeexplore.ieee.org/document/6811403/Mohamed Al Mashrgy, Nizar Bouguila, Khalid Daoudi: A statistical framework for positive data clustering with feature selection: Application to object detection.EUSIPCO2013: 1-5]]>https://dblp.org/rec/conf/eusipco/MashrgyBD13Tue, 01 Jan 2013 00:00:00 +0100Visual Scenes Categorization Using a Flexible Hierarchical Mixture Model Supporting Users Ontology.https://doi.org/10.1109/ICTAI.2013.48Taoufik Bdiri, Nizar Bouguila, Djemel Ziou: Visual Scenes Categorization Using a Flexible Hierarchical Mixture Model Supporting Users Ontology.ICTAI2013: 262-267]]>https://dblp.org/rec/conf/ictai/BdiriBZ13Tue, 01 Jan 2013 00:00:00 +0100A QoS-Based Trust Approach for Service Selection and Composition via Bayesian Networks.https://doi.org/10.1109/ICWS.2013.37Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar: A QoS-Based Trust Approach for Service Selection and Composition via Bayesian Networks.ICWS2013: 211-218]]>https://dblp.org/rec/conf/icws/MehdiBB13Tue, 01 Jan 2013 00:00:00 +0100Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models.https://ceur-ws.org/Vol-1088/paper4.pdfWentao Fan, Nizar Bouguila: Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models.UDM@IJCAI2013: 24]]>https://dblp.org/rec/conf/ijcai/FanB13aTue, 01 Jan 2013 00:00:00 +0100Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition.https://doi.org/10.1145/2493525.2493531Wentao Fan, Nizar Bouguila: Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition.MLIS@IJCAI2013: 29-36]]>https://dblp.org/rec/conf/ijcai/FanB13bTue, 01 Jan 2013 00:00:00 +0100Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering.http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6369Wentao Fan, Nizar Bouguila: Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering.IJCAI2013: 1323-1329]]>https://dblp.org/rec/conf/ijcai/FanB13Tue, 01 Jan 2013 00:00:00 +0100Online news topic detection and tracking via localized feature selection.https://doi.org/10.1109/IJCNN.2013.6707027Ola Amayri, Nizar Bouguila: Online news topic detection and tracking via localized feature selection.IJCNN2013: 1-8]]>https://dblp.org/rec/conf/ijcnn/AmayriB13Tue, 01 Jan 2013 00:00:00 +0100Variational learning of finite Beta-Liouville mixture models using component splitting.https://doi.org/10.1109/IJCNN.2013.6707025Wentao Fan, Nizar Bouguila: Variational learning of finite Beta-Liouville mixture models using component splitting.IJCNN2013: 1-8]]>https://dblp.org/rec/conf/ijcnn/FanB13Tue, 01 Jan 2013 00:00:00 +0100Unsupervised feature selection for proportional data clustering via expectation propagation.https://doi.org/10.1109/IJCNN.2013.6706757Wentao Fan, Nizar Bouguila: Unsupervised feature selection for proportional data clustering via expectation propagation.IJCNN2013: 1-8]]>https://dblp.org/rec/conf/ijcnn/FanB13aTue, 01 Jan 2013 00:00:00 +0100A Hierarchical Statistical Framework for the Extraction of Semantically Related Words in Textual Documents.https://doi.org/10.1007/978-3-642-41299-8_34Weijia Su, Djemel Ziou, Nizar Bouguila: A Hierarchical Statistical Framework for the Extraction of Semantically Related Words in Textual Documents.RSKT2013: 354-363]]>https://dblp.org/rec/conf/rskt/SuZB13Tue, 01 Jan 2013 00:00:00 +0100Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection.https://doi.org/10.1007/978-3-642-41299-8_35Wentao Fan, Nizar Bouguila, Hassen Sallay: Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection.RSKT2013: 364-373]]>https://dblp.org/rec/conf/rskt/FanBS13Tue, 01 Jan 2013 00:00:00 +0100Novel approaches for synthesizing video textures.https://doi.org/10.1016/j.eswa.2011.07.081Wentao Fan, Nizar Bouguila: Novel approaches for synthesizing video textures.Expert Syst. Appl.39(1): 828-839 (2012)]]>https://dblp.org/rec/journals/eswa/FanB12Sun, 01 Jan 2012 00:00:00 +0100Positive vectors clustering using inverted Dirichlet finite mixture models.https://doi.org/10.1016/j.eswa.2011.08.063Taoufik Bdiri, Nizar Bouguila: Positive vectors clustering using inverted Dirichlet finite mixture models.Expert Syst. Appl.39(2): 1869-1882 (2012)]]>https://dblp.org/rec/journals/eswa/BdiriB12Sun, 01 Jan 2012 00:00:00 +0100A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering.https://doi.org/10.1016/j.eswa.2011.11.122Nizar Bouguila, Tarek Elguebaly: A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering.Expert Syst. Appl.39(5): 5946-5959 (2012)]]>https://dblp.org/rec/journals/eswa/BouguilaE12Sun, 01 Jan 2012 00:00:00 +0100A finite mixture model for simultaneous high-dimensional clustering, localized feature selection and outlier rejection.https://doi.org/10.1016/j.eswa.2011.12.038Nizar Bouguila, Khaled Almakadmeh, Sabri Boutemedjet: A finite mixture model for simultaneous high-dimensional clustering, localized feature selection and outlier rejection.Expert Syst. Appl.39(7): 6641-6656 (2012)]]>https://dblp.org/rec/journals/eswa/BouguilaAB12Sun, 01 Jan 2012 00:00:00 +0100Spatial color image segmentation based on finite non-Gaussian mixture models.https://doi.org/10.1016/j.eswa.2012.02.024Ali Sefidpour, Nizar Bouguila: Spatial color image segmentation based on finite non-Gaussian mixture models.Expert Syst. Appl.39(10): 8993-9001 (2012)]]>https://dblp.org/rec/journals/eswa/SefidpourB12Sun, 01 Jan 2012 00:00:00 +0100Online variational learning of finite Dirichlet mixture models.https://doi.org/10.1007/s12530-012-9047-4Wentao Fan, Nizar Bouguila: Online variational learning of finite Dirichlet mixture models.Evol. Syst.3(3): 153-165 (2012)]]>https://dblp.org/rec/journals/evs/FanB12Sun, 01 Jan 2012 00:00:00 +0100Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features.https://doi.org/10.1016/j.jvcir.2012.08.003Tarek Elguebaly, Nizar Bouguila: Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features.J. Vis. Commun. Image Represent.23(8): 1199-1212 (2012)]]>https://dblp.org/rec/journals/jvcir/ElguebalyB12Sun, 01 Jan 2012 00:00:00 +0100A countably infinite mixture model for clustering and feature selection.https://doi.org/10.1007/s10115-011-0467-4Nizar Bouguila, Djemel Ziou: A countably infinite mixture model for clustering and feature selection.Knowl. Inf. Syst.33(2): 351-370 (2012)]]>https://dblp.org/rec/journals/kais/BouguilaZ12Sun, 01 Jan 2012 00:00:00 +0100Infinite Liouville mixture models with application to text and texture categorization.https://doi.org/10.1016/j.patrec.2011.09.037Nizar Bouguila: Infinite Liouville mixture models with application to text and texture categorization.Pattern Recognit. Lett.33(2): 103-110 (2012)]]>https://dblp.org/rec/journals/prl/Bouguila12Sun, 01 Jan 2012 00:00:00 +0100Hybrid Generative/Discriminative Approaches for Proportional Data Modeling and Classification.https://doi.org/10.1109/TKDE.2011.162Nizar Bouguila: Hybrid Generative/Discriminative Approaches for Proportional Data Modeling and Classification.IEEE Trans. Knowl. Data Eng.24(12): 2184-2202 (2012)]]>https://dblp.org/rec/journals/tkde/Bouguila12Sun, 01 Jan 2012 00:00:00 +0100Video Completion Using Bandlet Transform.https://doi.org/10.1109/TMM.2012.2198802Ali Mosleh, Nizar Bouguila, A. Ben Hamza: Video Completion Using Bandlet Transform.IEEE Trans. Multim.14(6): 1591-1601 (2012)]]>https://dblp.org/rec/journals/tmm/MoslehBH12Sun, 01 Jan 2012 00:00:00 +0100Variational Learning for Finite Dirichlet Mixture Models and Applications.https://doi.org/10.1109/TNNLS.2012.2190298Wentao Fan, Nizar Bouguila, Djemel Ziou: Variational Learning for Finite Dirichlet Mixture Models and Applications.IEEE Trans. Neural Networks Learn. Syst.23(5): 762-774 (2012)]]>https://dblp.org/rec/journals/tnn/FanBZ12Sun, 01 Jan 2012 00:00:00 +0100Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications.https://doi.org/10.1007/978-3-642-35527-1_17Wentao Fan, Nizar Bouguila: Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications.ADMA2012: 199-213]]>https://dblp.org/rec/conf/adma/FanB12Sun, 01 Jan 2012 00:00:00 +0100Image Text Detection Using a Bandlet-Based Edge Detector and Stroke Width Transform.https://doi.org/10.5244/C.26.63Ali Mosleh, Nizar Bouguila, A. Ben Hamza: Image Text Detection Using a Bandlet-Based Edge Detector and Stroke Width Transform.BMVC2012: 1-12]]>https://dblp.org/rec/conf/bmvc/MoslehBH12Sun, 01 Jan 2012 00:00:00 +0100A variational component splitting approach for finite generalized Dirichlet mixture models.https://doi.org/10.1109/ICCITechnol.2012.6285806Wentao Fan, Nizar Bouguila: A variational component splitting approach for finite generalized Dirichlet mixture models.ICCIT2012: 53-57]]>https://dblp.org/rec/conf/iccit/FanB12Sun, 01 Jan 2012 00:00:00 +0100Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application.https://doi.org/10.1109/ICMLA.2012.67Wentao Fan, Nizar Bouguila: Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application.ICMLA (1)2012: 362-367]]>https://dblp.org/rec/conf/icmla/FanB12Sun, 01 Jan 2012 00:00:00 +0100Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions.https://doi.org/10.1007/978-3-642-34487-9_4Wentao Fan, Nizar Bouguila: Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions.ICONIP (3)2012: 25-33]]>https://dblp.org/rec/conf/iconip/FanB12Sun, 01 Jan 2012 00:00:00 +0100A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification.https://doi.org/10.1007/978-3-642-34481-7_41Ali Shojaee Bakhtiari, Nizar Bouguila: A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification.ICONIP (2)2012: 332-340]]>https://dblp.org/rec/conf/iconip/BakhtiariB12Sun, 01 Jan 2012 00:00:00 +0100Trustworthy Web Service Selection Using Probabilistic Models.https://doi.org/10.1109/ICWS.2012.17Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar: Trustworthy Web Service Selection Using Probabilistic Models.ICWS2012: 17-24]]>https://dblp.org/rec/conf/icws/KeikhaBB12Sun, 01 Jan 2012 00:00:00 +0100Content-based spam filtering using hybrid generative discriminative learning of both textual and visual features.https://doi.org/10.1109/ISCAS.2012.6272177Ola Amayri, Nizar Bouguila: Content-based spam filtering using hybrid generative discriminative learning of both textual and visual features.ISCAS2012: 862-865]]>https://dblp.org/rec/conf/iscas/AmayriB12Sun, 01 Jan 2012 00:00:00 +0100Medical image classification using birth-and-death MCMC.https://doi.org/10.1109/ISCAS.2012.6271691Tarek Elguebaly, Nizar Bouguila: Medical image classification using birth-and-death MCMC.ISCAS2012: 2075-2078]]>https://dblp.org/rec/conf/iscas/ElguebalyB12Sun, 01 Jan 2012 00:00:00 +0100Online variational finite Dirichlet mixture model and its applications.https://doi.org/10.1109/ISSPA.2012.6310592Wentao Fan, Nizar Bouguila: Online variational finite Dirichlet mixture model and its applications.ISSPA2012: 448-453]]>https://dblp.org/rec/conf/isspa/FanB12Sun, 01 Jan 2012 00:00:00 +0100Unsupervised Feature Selection for Spherical Data Modeling: Application to Image-Based Spam Filtering.https://doi.org/10.1007/978-3-642-30721-8_2Ola Amayri, Nizar Bouguila: Unsupervised Feature Selection for Spherical Data Modeling: Application to Image-Based Spam Filtering.MCSS2012: 13-23]]>https://dblp.org/rec/conf/mcss2/AmayriB12Sun, 01 Jan 2012 00:00:00 +0100Face Detection and Facial Expression Recognition Using a Novel Variational Statistical Framework.https://doi.org/10.1007/978-3-642-30721-8_10Wentao Fan, Nizar Bouguila: Face Detection and Facial Expression Recognition Using a Novel Variational Statistical Framework.MCSS2012: 95-106]]>https://dblp.org/rec/conf/mcss2/FanB12Sun, 01 Jan 2012 00:00:00 +0100A variational statistical framework for clustering human action videos.https://doi.org/10.1109/WIAMIS.2012.6226748Wentao Fan, Nizar Bouguila: A variational statistical framework for clustering human action videos.WIAMIS2012: 1-4]]>https://dblp.org/rec/conf/wiamis/FanB12Sun, 01 Jan 2012 00:00:00 +0100Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection.http://proceedings.mlr.press/v25/fan12.htmlWentao Fan, Nizar Bouguila: Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection.ACML2012: 113-128]]>https://dblp.org/rec/journals/jmlr/FanB12Sun, 01 Jan 2012 00:00:00 +0100Quantization-free parameter space reduction in ellipse detection.https://doi.org/10.1016/j.eswa.2010.12.098Kuang Chung Chen, Nizar Bouguila, Djemel Ziou: Quantization-free parameter space reduction in ellipse detection.Expert Syst. Appl.38(6): 7622-7632 (2011)]]>https://dblp.org/rec/journals/eswa/ChenBZ11Sat, 01 Jan 2011 00:00:00 +0100An empirical evaluation of attribute control charts for monitoring defects.https://doi.org/10.1016/j.eswa.2010.12.093Surath Aebtarm, Nizar Bouguila: An empirical evaluation of attribute control charts for monitoring defects.Expert Syst. Appl.38(6): 7869-7880 (2011)]]>https://dblp.org/rec/journals/eswa/AebtarmB11Sat, 01 Jan 2011 00:00:00 +0100Bayesian hybrid generative discriminative learning based on finite Liouville mixture models.https://doi.org/10.1016/j.patcog.2010.12.010Nizar Bouguila: Bayesian hybrid generative discriminative learning based on finite Liouville mixture models.Pattern Recognit.44(6): 1183-1200 (2011)]]>https://dblp.org/rec/journals/pr/Bouguila11Sat, 01 Jan 2011 00:00:00 +0100Bayesian learning of finite generalized Gaussian mixture models on images.https://doi.org/10.1016/j.sigpro.2010.08.014Tarek Elguebaly, Nizar Bouguila: Bayesian learning of finite generalized Gaussian mixture models on images.Signal Process.91(4): 801-820 (2011)]]>https://dblp.org/rec/journals/sigpro/ElguebalyB11Sat, 01 Jan 2011 00:00:00 +0100Count Data Modeling and Classification Using Finite Mixtures of Distributions.https://doi.org/10.1109/TNN.2010.2091428Nizar Bouguila: Count Data Modeling and Classification Using Finite Mixtures of Distributions.IEEE Trans. Neural Networks22(2): 186-198 (2011)]]>https://dblp.org/rec/journals/tnn/Bouguila11Sat, 01 Jan 2011 00:00:00 +0100A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation.https://doi.org/10.1109/CVPRW.2011.5981800Tarek Elguebaly, Nizar Bouguila: A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation.CVPR Workshops2011: 21-26]]>https://dblp.org/rec/conf/cvpr/ElguebalyB11Sat, 01 Jan 2011 00:00:00 +0100Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection.https://doi.org/10.1109/ICDM.2011.152Wentao Fan, Nizar Bouguila, Djemel Ziou: Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection.ICDM2011: 1032-1037]]>https://dblp.org/rec/conf/icdm/FanBZ11Sat, 01 Jan 2011 00:00:00 +0100Infinite Generalized Gaussian Mixture Modeling and Applications.https://doi.org/10.1007/978-3-642-21593-3_21Tarek Elguebaly, Nizar Bouguila: Infinite Generalized Gaussian Mixture Modeling and Applications.ICIAR (1)2011: 201-210]]>https://dblp.org/rec/conf/iciar/ElguebalyB11Sat, 01 Jan 2011 00:00:00 +0100A video completion method based on bandlet transform.https://doi.org/10.1109/ICME.2011.6011974Ali Mosleh, Nizar Bouguila, Abdessamad Ben Hamza: A video completion method based on bandlet transform.ICME2011: 1-6]]>https://dblp.org/rec/conf/icmcs/MoslehBH11Sat, 01 Jan 2011 00:00:00 +0100Infinite Dirichlet Mixture Model and Its Application via Variational Bayes.https://doi.org/10.1109/ICMLA.2011.81Wentao Fan, Nizar Bouguila: Infinite Dirichlet Mixture Model and Its Application via Variational Bayes.ICMLA (1)2011: 129-132]]>https://dblp.org/rec/conf/icmla/FanB11Sat, 01 Jan 2011 00:00:00 +0100Probabilistic clustering based on Langevin mixture.https://doi.org/10.1109/icmla.2011.6174513Ola Amayri, Nizar Bouguila: Probabilistic clustering based on Langevin mixture.ICMLA (2)2011: 388-391]]>https://dblp.org/rec/conf/icmla/AmayriB11Sat, 01 Jan 2011 00:00:00 +0100An Infinite Mixture of Inverted Dirichlet Distributions.https://doi.org/10.1007/978-3-642-24958-7_9Taoufik Bdiri, Nizar Bouguila: An Infinite Mixture of Inverted Dirichlet Distributions.ICONIP (2)2011: 71-78]]>https://dblp.org/rec/conf/iconip/BdiriB11Sat, 01 Jan 2011 00:00:00 +0100A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection.https://doi.org/10.1007/978-3-642-24958-7_15Mohamed Al Mashrgy, Nizar Bouguila, Khalid Daoudi: A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection.ICONIP (2)2011: 125-132]]>https://dblp.org/rec/conf/iconip/MashrgyBD11Sat, 01 Jan 2011 00:00:00 +0100A Variational Statistical Framework for Object Detection.https://doi.org/10.1007/978-3-642-24958-7_32Wentao Fan, Nizar Bouguila, Djemel Ziou: A Variational Statistical Framework for Object Detection.ICONIP (2)2011: 276-283]]>https://dblp.org/rec/conf/iconip/FanBZ11Sat, 01 Jan 2011 00:00:00 +0100Spatial Finite Non-gaussian Mixture for Color Image Segmentation.https://doi.org/10.1007/978-3-642-24965-5_58Ali Sefidpour, Nizar Bouguila: Spatial Finite Non-gaussian Mixture for Color Image Segmentation.ICONIP (3)2011: 514-521]]>https://dblp.org/rec/conf/iconip/SefidpourB11Sat, 01 Jan 2011 00:00:00 +0100An Expandable Hierarchical Statistical Framework for Count Data Modeling and Its Application to Object Classification.https://doi.org/10.1109/ICTAI.2011.128Ali Shojaee Bakhtiari, Nizar Bouguila: An Expandable Hierarchical Statistical Framework for Count Data Modeling and Its Application to Object Classification.ICTAI2011: 817-824]]>https://dblp.org/rec/conf/ictai/BakhtiariB11Sat, 01 Jan 2011 00:00:00 +0100Count Data Clustering Using Unsupervised Localized Feature Selection and Outliers Rejection.https://doi.org/10.1109/ICTAI.2011.174Nizar Bouguila: Count Data Clustering Using Unsupervised Localized Feature Selection and Outliers Rejection.ICTAI2011: 1020-1027]]>https://dblp.org/rec/conf/ictai/Bouguila11Sat, 01 Jan 2011 00:00:00 +0100Simultaneous Non-gaussian Data Clustering, Feature Selection and Outliers Rejection.https://doi.org/10.1007/978-3-642-21786-9_59Nizar Bouguila, Djemel Ziou, Sabri Boutemedjet: Simultaneous Non-gaussian Data Clustering, Feature Selection and Outliers Rejection.PReMI2011: 364-369]]>https://dblp.org/rec/conf/premi/BouguilaZB11Sat, 01 Jan 2011 00:00:00 +0100Learning Inverted Dirichlet Mixtures for Positive Data Clustering.https://doi.org/10.1007/978-3-642-21881-1_42Taoufik Bdiri, Nizar Bouguila: Learning Inverted Dirichlet Mixtures for Positive Data Clustering.RSFDGrC2011: 265-272]]>https://dblp.org/rec/conf/rsfdgrc/BdiriB11Sat, 01 Jan 2011 00:00:00 +0100A Liouville-Based Approach for Discrete Data Categorization.https://doi.org/10.1007/978-3-642-21881-1_51Nizar Bouguila: A Liouville-Based Approach for Discrete Data Categorization.RSFDGrC2011: 330-337]]>https://dblp.org/rec/conf/rsfdgrc/Bouguila11Sat, 01 Jan 2011 00:00:00 +0100A study of spam filtering using support vector machines.https://doi.org/10.1007/s10462-010-9166-xOla Amayri, Nizar Bouguila: A study of spam filtering using support vector machines.Artif. Intell. Rev.34(1): 73-108 (2010)]]>https://dblp.org/rec/journals/air/AmayriB10Fri, 01 Jan 2010 00:00:00 +0100On multivariate binary data clustering and feature weighting.https://doi.org/10.1016/j.csda.2009.07.013Nizar Bouguila: On multivariate binary data clustering and feature weighting.Comput. Stat. Data Anal.54(1): 120-134 (2010)]]>https://dblp.org/rec/journals/csda/Bouguila10Fri, 01 Jan 2010 00:00:00 +0100Integrating spatial and color information in images using a statistical framework.https://doi.org/10.1016/j.eswa.2009.06.096Nizar Bouguila, Walid ElGuebaly: Integrating spatial and color information in images using a statistical framework.Expert Syst. Appl.37(2): 1542-1549 (2010)]]>https://dblp.org/rec/journals/eswa/BouguilaE10Fri, 01 Jan 2010 00:00:00 +0100An optimal bivariate Poisson field chart for controlling high-quality manufacturing processes.https://doi.org/10.1016/j.eswa.2010.02.060Surath Aebtarm, Nizar Bouguila: An optimal bivariate Poisson field chart for controlling high-quality manufacturing processes.Expert Syst. Appl.37(7): 5498-5506 (2010)]]>https://dblp.org/rec/journals/eswa/AebtarmB10Fri, 01 Jan 2010 00:00:00 +0100Model-based subspace clustering of non-Gaussian data.https://doi.org/10.1016/j.neucom.2009.11.044Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila: Model-based subspace clustering of non-Gaussian data.Neurocomputing73(10-12): 1730-1739 (2010)]]>https://dblp.org/rec/journals/ijon/BoutemedjetZB10Fri, 01 Jan 2010 00:00:00 +0100Discrete visual features modeling via leave-one-out likelihood estimation and applications.https://doi.org/10.1016/j.jvcir.2010.04.001Nizar Bouguila, Mukti Nath Ghimire: Discrete visual features modeling via leave-one-out likelihood estimation and applications.J. Vis. Commun. Image Represent.21(7): 613-626 (2010)]]>https://dblp.org/rec/journals/jvcir/BouguilaG10Fri, 01 Jan 2010 00:00:00 +0100Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection.https://doi.org/10.1109/TCSVT.2010.2077483Mohand Saïd Allili, Djemel Ziou, Nizar Bouguila, Sabri Boutemedjet: Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection.IEEE Trans. Circuits Syst. Video Technol.20(10): 1373-1377 (2010)]]>https://dblp.org/rec/journals/tcsv/AlliliZBB10Fri, 01 Jan 2010 00:00:00 +0100A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling.https://doi.org/10.1109/TNN.2009.2034851Nizar Bouguila, Djemel Ziou: A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling.IEEE Trans. Neural Networks21(1): 107-122 (2010)]]>https://dblp.org/rec/journals/tnn/BouguilaZ10Fri, 01 Jan 2010 00:00:00 +0100Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images.https://doi.org/10.1007/978-3-642-12159-3_19Tarek Elguebaly, Nizar Bouguila: Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images.ANNPR2010: 207-218]]>https://dblp.org/rec/conf/annpr/ElguebalyB10Fri, 01 Jan 2010 00:00:00 +0100Unsupervised Feature Selection and Learning for Image Segmentation.https://doi.org/10.1109/CRV.2010.44Mohand Saïd Allili, Djemel Ziou, Nizar Bouguila, Sabri Boutemedjet: Unsupervised Feature Selection and Learning for Image Segmentation.CRV2010: 285-292]]>https://dblp.org/rec/conf/crv/AlliliZBB10Fri, 01 Jan 2010 00:00:00 +0100A hierarchical statistical model for object classification.https://doi.org/10.1109/MMSP.2010.5662071Ali Shojaee Bakhtiari, Nizar Bouguila: A hierarchical statistical model for object classification.MMSP2010: 493-498]]>https://dblp.org/rec/conf/mmsp/BakhtiariB10Fri, 01 Jan 2010 00:00:00 +0100A discrete mixture-based kernel for SVMs: Application to spam and image categorization.https://doi.org/10.1016/j.ipm.2009.05.005Nizar Bouguila, Ola Amayri: A discrete mixture-based kernel for SVMs: Application to spam and image categorization.Inf. Process. Manag.45(6): 631-642 (2009)]]>https://dblp.org/rec/journals/ipm/BouguilaA09Thu, 01 Jan 2009 00:00:00 +0100On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling.https://doi.org/10.1007/s10044-008-0111-4Nizar Bouguila, Djemel Ziou, Riad I. Hammoud: On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling.Pattern Anal. Appl.12(2): 151-166 (2009)]]>https://dblp.org/rec/journals/paa/BouguilaZH09Thu, 01 Jan 2009 00:00:00 +0100A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering.https://doi.org/10.1109/TPAMI.2008.155Sabri Boutemedjet, Nizar Bouguila, Djemel Ziou: A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering.IEEE Trans. Pattern Anal. Mach. Intell.31(8): 1429-1443 (2009)]]>https://dblp.org/rec/journals/pami/BoutemedjetBZ09Thu, 01 Jan 2009 00:00:00 +0100Discrete data clustering using finite mixture models.https://doi.org/10.1016/j.patcog.2008.06.022Nizar Bouguila, Walid ElGuebaly: Discrete data clustering using finite mixture models.Pattern Recognit.42(1): 33-42 (2009)]]>https://dblp.org/rec/journals/pr/BouguilaE09Thu, 01 Jan 2009 00:00:00 +0100A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity.https://doi.org/10.1109/TKDE.2009.42Nizar Bouguila: A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity.IEEE Trans. Knowl. Data Eng.21(12): 1649-1664 (2009)]]>https://dblp.org/rec/journals/tkde/Bouguila09Thu, 01 Jan 2009 00:00:00 +0100An optimal bivariate Poisson field chart for monitoring defects.https://doi.org/10.1109/CCECE.2009.5090218Surath Aebtarm, Nizar Bouguila: An optimal bivariate Poisson field chart for monitoring defects.CCECE2009: 691-694]]>https://dblp.org/rec/conf/ccece/AebtarmB09Thu, 01 Jan 2009 00:00:00 +0100Improved Online Support Vector Machines Spam Filtering Using String Kernels.https://doi.org/10.1007/978-3-642-10268-4_73Ola Amayri, Nizar Bouguila: Improved Online Support Vector Machines Spam Filtering Using String Kernels.CIARP2009: 621-628]]>https://dblp.org/rec/conf/ciarp/AmayriB09Thu, 01 Jan 2009 00:00:00 +0100Generating Video Textures by PPCA and Gaussian Process Dynamical Model.https://doi.org/10.1007/978-3-642-10268-4_94Wentao Fan, Nizar Bouguila: Generating Video Textures by PPCA and Gaussian Process Dynamical Model.CIARP2009: 801-808]]>https://dblp.org/rec/conf/ciarp/FanB09Thu, 01 Jan 2009 00:00:00 +0100Online spam filtering using support vector machines.https://doi.org/10.1109/ISCC.2009.5202287Ola Amayri, Nizar Bouguila: Online spam filtering using support vector machines.ISCC2009: 337-340]]>https://dblp.org/rec/conf/iscc/AmayriB09Thu, 01 Jan 2009 00:00:00 +0100Online Video Textures Generation.https://doi.org/10.1007/978-3-642-10520-3_42Wentao Fan, Nizar Bouguila: Online Video Textures Generation.ISVC (2)2009: 450-459]]>https://dblp.org/rec/conf/isvc/FanB09Thu, 01 Jan 2009 00:00:00 +0100Learning concepts from visual scenes using a binary probabilistic model.https://doi.org/10.1109/MMSP.2009.5293316Nizar Bouguila, Khalid Daoudi: Learning concepts from visual scenes using a binary probabilistic model.MMSP2009: 1-5]]>https://dblp.org/rec/conf/mmsp/BouguilaD09Thu, 01 Jan 2009 00:00:00 +0100A Statistical Approach for Binary Vectors Modeling and Clustering.https://doi.org/10.1007/978-3-642-01307-2_19Nizar Bouguila, Khalid Daoudi: A Statistical Approach for Binary Vectors Modeling and Clustering.PAKDD2009: 184-195]]>https://dblp.org/rec/conf/pakdd/BouguilaD09Thu, 01 Jan 2009 00:00:00 +0100A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization.https://doi.org/10.1007/978-3-642-01307-2_42Nizar Bouguila, Djemel Ziou: A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization.PAKDD2009: 463-474]]>https://dblp.org/rec/conf/pakdd/BouguilaZ09Thu, 01 Jan 2009 00:00:00 +0100On Video Textures Generation: A Comparison Between Different Dimensionality Reduction Techniques.https://doi.org/10.1109/ICSMC.2009.5346016Nizar Bouguila, Wentao Fan: On Video Textures Generation: A Comparison Between Different Dimensionality Reduction Techniques.SMC2009: 5134-5139]]>https://dblp.org/rec/conf/smc/BouguilaF09Thu, 01 Jan 2009 00:00:00 +0100Finite general Gaussian mixture modeling and application to image and video foreground segmentation.https://doi.org/10.1117/1.2898125Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou: Finite general Gaussian mixture modeling and application to image and video foreground segmentation.J. Electronic Imaging17(1): 013005 (2008)]]>https://dblp.org/rec/journals/jei/AlliliBZ08Tue, 01 Jan 2008 00:00:00 +0100Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions.https://doi.org/10.1109/TKDE.2007.190726Nizar Bouguila: Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions.IEEE Trans. Knowl. Data Eng.20(4): 462-474 (2008)]]>https://dblp.org/rec/journals/tkde/Bouguila08Tue, 01 Jan 2008 00:00:00 +0100A Statistical Model for Histogram Refinement.https://doi.org/10.1007/978-3-540-87536-9_86Nizar Bouguila, Walid ElGuebaly: A Statistical Model for Histogram Refinement.ICANN (1)2008: 837-846]]>https://dblp.org/rec/conf/icann/BouguilaE08Tue, 01 Jan 2008 00:00:00 +0100A generative model for spatial color image databases categorization.https://doi.org/10.1109/ICASSP.2008.4517736Nizar Bouguila, Walid ElGuebaly: A generative model for spatial color image databases categorization.ICASSP2008: 821-824]]>https://dblp.org/rec/conf/icassp/BouguilaE08Tue, 01 Jan 2008 00:00:00 +0100Non-Gaussian mixture image models prediction.https://doi.org/10.1109/ICIP.2008.4712321Nizar Bouguila: Non-Gaussian mixture image models prediction.ICIP2008: 2580-2583]]>https://dblp.org/rec/conf/icip/Bouguila08Tue, 01 Jan 2008 00:00:00 +0100Stochastic optimization approach for entropic image alignment.https://doi.org/10.1109/ISIT.2008.4595365Waleed Mohamed, Ying Zhang, Abdessamad Ben Hamza, Nizar Bouguila: Stochastic optimization approach for entropic image alignment.ISIT2008: 2126-2130]]>https://dblp.org/rec/conf/isit/MohamedZHB08Tue, 01 Jan 2008 00:00:00 +0100On Discrete Data Clustering.https://doi.org/10.1007/978-3-540-68125-0_44Nizar Bouguila, Walid ElGuebaly: On Discrete Data Clustering.PAKDD2008: 503-510]]>https://dblp.org/rec/conf/pakdd/BouguilaE08Tue, 01 Jan 2008 00:00:00 +0100Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization.https://doi.org/10.1016/j.jvcir.2007.02.005Nizar Bouguila, Djemel Ziou: Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization.J. Vis. Commun. Image Represent.18(4): 295-309 (2007)]]>https://dblp.org/rec/journals/jvcir/BouguilaZ07Mon, 01 Jan 2007 00:00:00 +0100High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length.https://doi.org/10.1109/TPAMI.2007.1095Nizar Bouguila, Djemel Ziou: High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length.IEEE Trans. Pattern Anal. Mach. Intell.29(10): 1716-1731 (2007)]]>https://dblp.org/rec/journals/pami/BouguilaZ07Mon, 01 Jan 2007 00:00:00 +0100Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation.https://doi.org/10.1109/CRV.2007.33Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou: Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation.CRV2007: 183-190]]>https://dblp.org/rec/conf/crv/AlliliBZ07Mon, 01 Jan 2007 00:00:00 +0100A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling.https://doi.org/10.1109/CRV.2007.7Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou: A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling.CRV2007: 503-509]]>https://dblp.org/rec/conf/crv/AlliliBZ07aMon, 01 Jan 2007 00:00:00 +0100A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling.https://doi.org/10.1109/CVPR.2007.383439Nizar Bouguila, Djemel Ziou, Riad I. Hammoud: A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling.CVPR2007]]>https://dblp.org/rec/conf/cvpr/BouguilaZH07Mon, 01 Jan 2007 00:00:00 +0100Spatial Color Image Databases Summarization.https://doi.org/10.1109/ICASSP.2007.366067Nizar Bouguila: Spatial Color Image Databases Summarization.ICASSP (1)2007: 953-956]]>https://dblp.org/rec/conf/icassp/Bouguila07Mon, 01 Jan 2007 00:00:00 +0100Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models.https://doi.org/10.1007/978-3-540-74260-9_30Sabri Boutemedjet, Nizar Bouguila, Djemel Ziou: Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models.ICIAR2007: 330-341]]>https://dblp.org/rec/conf/iciar/BoutemedjetBZ07Mon, 01 Jan 2007 00:00:00 +0100Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data.https://proceedings.neurips.cc/paper/2007/hash/073b00ab99487b74b63c9a6d2b962ddc-Abstract.htmlSabri Boutemedjet, Djemel Ziou, Nizar Bouguila: Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data.NIPS2007: 177-184]]>https://dblp.org/rec/conf/nips/BoutemedjetZB07Mon, 01 Jan 2007 00:00:00 +0100A Graphical Model for Content Based Image Suggestion and Feature Selection.https://doi.org/10.1007/978-3-540-74976-9_7Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila: A Graphical Model for Content Based Image Suggestion and Feature Selection.PKDD2007: 30-41]]>https://dblp.org/rec/conf/pkdd/BoutemedjetZB07Mon, 01 Jan 2007 00:00:00 +0100Online clustering via finite mixtures of Dirichlet and minimum message length.https://doi.org/10.1016/j.engappai.2006.01.012Nizar Bouguila, Djemel Ziou: Online clustering via finite mixtures of Dirichlet and minimum message length.Eng. Appl. Artif. Intell.19(4): 371-379 (2006)]]>https://dblp.org/rec/journals/eaai/BouguilaZ06Sun, 01 Jan 2006 00:00:00 +0100Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications.https://doi.org/10.1007/s11222-006-8451-7Nizar Bouguila, Djemel Ziou, Ernest Monga: Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications.Stat. Comput.16(2): 215-225 (2006)]]>https://dblp.org/rec/journals/sac/BouguilaZM06Sun, 01 Jan 2006 00:00:00 +0100A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture.https://doi.org/10.1109/TIP.2006.877379Nizar Bouguila, Djemel Ziou: A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture.IEEE Trans. Image Process.15(9): 2657-2668 (2006)]]>https://dblp.org/rec/journals/tip/BouguilaZ06Sun, 01 Jan 2006 00:00:00 +0100Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach.https://doi.org/10.1109/TKDE.2006.133Nizar Bouguila, Djemel Ziou: Unsupervised Selection of a Finite Dirichlet Mixture Model: An MML-Based Approach.IEEE Trans. Knowl. Data Eng.18(8): 993-1009 (2006)]]>https://dblp.org/rec/journals/tkde/BouguilaZ06Sun, 01 Jan 2006 00:00:00 +0100Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications.https://doi.org/10.1016/j.patrec.2005.03.016Nizar Bouguila, Djemel Ziou: Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications.Pattern Recognit. Lett.26(12): 1916-1925 (2005)]]>https://dblp.org/rec/journals/prl/BouguilaZ05Sat, 01 Jan 2005 00:00:00 +0100MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture.https://doi.org/10.1109/CVPR.2005.493Nizar Bouguila, Djemel Ziou: MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture.CVPR Workshops2005: 53]]>https://dblp.org/rec/conf/cvpr/BouguilaZ05Sat, 01 Jan 2005 00:00:00 +0100On Fitting Finite Dirichlet Mixture Using ECM and MML.https://doi.org/10.1007/11551188_19Nizar Bouguila, Djemel Ziou: On Fitting Finite Dirichlet Mixture Using ECM and MML.ICAPR (1)2005: 172-182]]>https://dblp.org/rec/conf/icapr/BouguilaZ05Sat, 01 Jan 2005 00:00:00 +0100A probabilistic approach for shadows modeling and detection.https://doi.org/10.1109/ICIP.2005.1529754Nizar Bouguila, Djemel Ziou: A probabilistic approach for shadows modeling and detection.ICIP (1)2005: 329-332]]>https://dblp.org/rec/conf/icip/BouguilaZ05Sat, 01 Jan 2005 00:00:00 +0100MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection.https://doi.org/10.1007/11510888_5Nizar Bouguila, Djemel Ziou: MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection.MLDM2005: 42-51]]>https://dblp.org/rec/conf/mldm/BouguilaZ05Sat, 01 Jan 2005 00:00:00 +0100A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration.https://doi.org/10.1007/11590316_26Nizar Bouguila, Djemel Ziou: A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration.PReMI2005: 200-205]]>https://dblp.org/rec/conf/premi/BouguilaZ05Sat, 01 Jan 2005 00:00:00 +0100Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application.https://doi.org/10.1109/TIP.2004.834664Nizar Bouguila, Djemel Ziou, Jean Vaillancourt: Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application.IEEE Trans. Image Process.13(11): 1533-1543 (2004)]]>https://dblp.org/rec/journals/tip/BouguilaZV04Thu, 01 Jan 2004 00:00:00 +0100Dirichlet-based probability model applied to human skin detection [image skin detection].https://doi.org/10.1109/ICASSP.2004.1327162Nizar Bouguila, Djemel Ziou: Dirichlet-based probability model applied to human skin detection [image skin detection].ICASSP (5)2004: 521-524]]>https://dblp.org/rec/conf/icassp/BouguilaZ04Thu, 01 Jan 2004 00:00:00 +0100Unsupervised Learning of a Finite Gamma Mixture Using MML: Application to SAR Image Analysis.https://doi.org/10.1109/ICPR.2004.1334042Djemel Ziou, Nizar Bouguila: Unsupervised Learning of a Finite Gamma Mixture Using MML: Application to SAR Image Analysis.ICPR (2)2004: 68-71]]>https://dblp.org/rec/conf/icpr/ZiouB04Thu, 01 Jan 2004 00:00:00 +0100A Powreful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications.https://doi.org/10.1109/ICPR.2004.1334107Nizar Bouguila, Djemel Ziou: A Powreful Finite Mixture Model Based on the Generalized Dirichlet Distribution: Unsupervised Learning and Applications.ICPR (1)2004: 280-283]]>https://dblp.org/rec/conf/icpr/BouguilaZ04Thu, 01 Jan 2004 00:00:00 +0100Unsupervised Learning of a Finite Discrete Mixture Model Based on the Multinomial Dirichlet Distribution: Application to Texture Modeling.https://dblp.org/pid/43/2204.htmlNizar Bouguila, Djemel Ziou: Unsupervised Learning of a Finite Discrete Mixture Model Based on the Multinomial Dirichlet Distribution: Application to Texture Modeling.PRIS2004: 118-127]]>https://dblp.org/rec/conf/pris/BouguilaZ04Thu, 01 Jan 2004 00:00:00 +0100Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification.https://doi.org/10.1007/3-540-45065-3_15Nizar Bouguila, Djemel Ziou, Jean Vaillancourt: Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification.MLDM2003: 172-181]]>https://dblp.org/rec/conf/mldm/BouguilaZV03Wed, 01 Jan 2003 00:00:00 +0100