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2020 – today
- 2024
[j220]Jiaxun 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)- [j219]Alaa 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) - [j218]Ali Algumaei, Muhammad Azam, Nizar Bouguila:
Novel approach for ECG separation using adaptive constrained IVABMGGMM. Digit. Signal Process. 149: 104476 (2024) - [j217]Zhiwen 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) - [j216]Maher 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) - [j215]Lidan Zeng, Wentao Fan, Nizar Bouguila:
Probabilistic rotation modeling based on directional mixture density networks. Inf. Sci. 662: 120231 (2024) - [j214]Soudabeh 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) - [j213]Sneha Paul, Zachary Patterson, Nizar Bouguila:
.FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images. J. Imaging 10(3): 71 (2024) - [j212]Koffi 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) - [j211]Ons 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) - [j210]Akinlolu Oluwabusayo Ojo, Nizar Bouguila:
A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder. Pattern Recognit. 146: 110037 (2024) - [j209]Ahmed Rebei, Manar Amayri, Nizar Bouguila:
Affinity-Driven Transfer Learning for Load Forecasting. Sensors 24(17): 5802 (2024) - [j208]Viet 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) - [j207]Ahmed Rebei, Manar Amayri, Nizar Bouguila:
FSNet: A Hybrid Model for Seasonal Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1167-1180 (2024) - [j206]Hussein 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) - [j205]Wentao 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) - [j204]Sneha Paul, Zachary Patterson, Nizar Bouguila:
DualMLP: a two-stream fusion model for 3D point cloud classification. Vis. Comput. 40(8): 5435-5449 (2024) - [c308]Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. ANNPR 2024: 49-60 - [c307]Ahmed Yasser Eita, Hafsa Ennajari, Akinlolu Oluwabusayo Ojo, Nizar Bouguila:
VAeViT: Fusing Multi-views for Complete 3D Object Recognition. ANNPR 2024: 183-194 - [c306]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Deep Multiresolution Wavelet Transform for Speech Emotion Assessment of High-Risk Suicide Callers. ANNPR 2024: 256-268 - [c305]Ali Algumaei, Muhammad Azam, Nizar Bouguila:
Mental Disorder Detection using Non-Orthogonal Adaptive Constrained IVABMGGMM. ATSIP 2024: 65-70 - [c304]Maher Dissem, Manar Amayri, Nizar Bouguila:
Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP). CCNC 2024: 202-205 - [c303]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
A Nonparametric Bayesian Framework for Multivariate Libby-Novick Beta Mixture Models. CoDIT 2024: 751-756 - [c302]Fares Alkhawaja, Manar Amayri, Nizar Bouguila:
A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. FLAIRS 2024 - [c301]Fares Alkhawaja, Manar Amayri, Nizar Bouguila:
Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. FLAIRS 2024 - [c300]Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila:
Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data. FLAIRS 2024 - [c299]Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Generalizing Conditional Naive Bayes Model. ICEIS (1) 2024: 163-171 - [c298]Skander Chouchene, Manar Amayri, Nizar Bouguila:
Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring. ICHMS 2024: 1-6 - [c297]Zahra Golpayegani, Nizar Bouguila:
PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm. ICPRAM 2024: 886-893 - [c296]Pardis 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. ICSC 2024: 25-32 - [c295]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis. ICSC 2024: 33-40 - [c294]Farnaz Kashefinishabouri, Nizar Bouguila, Zachary Patterson:
Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting. SMARTGREENS 2024: 49-56 - [i7]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Iterative Feature Boosting for Explainable Speech Emotion Recognition. CoRR abs/2405.20172 (2024) - [i6]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition. CoRR abs/2406.01624 (2024) - [i5]Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila:
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness. CoRR abs/2406.05006 (2024) - [i4]Zahra Golpayegani, Nizar Bouguila:
PatchSVD: A Non-uniform SVD-based Image Compression Algorithm. CoRR abs/2406.05129 (2024) - [i3]Sneha Paul, Zachary Patterson, Nizar Bouguila:
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data. CoRR abs/2409.13977 (2024) - 2023
- [j203]Fatma Najar, Nizar Bouguila:
On smoothing and scaling language model for sentiment based information retrieval. Adv. Data Anal. Classif. 17(3): 725-744 (2023) - [j202]Wentao Fan, Weimin Shangguan, Nizar Bouguila:
Continuous image anomaly detection based on contrastive lifelong learning. Appl. Intell. 53(14): 17693-17707 (2023) - [j201]Zhiwen 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) - [j200]Fares Alkhawaja, Nizar Bouguila:
Unsupervised nested Dirichlet finite mixture model for clustering. Appl. Intell. 53(21): 25232-25258 (2023) - [j199]Sami 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) - [j198]Samar 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) - [j197]Ali 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) - [j196]Michael 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) - [j195]Jiaxun 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) - [j194]Jiaxun 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) - [j193]Bingwei Ge, Fatma Najar, Nizar Bouguila:
Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration. J. Imaging 9(9): 179 (2023) - [j192]Sami Bourouis, Nizar Bouguila:
Expectation propagation learning of finite and infinite Gamma mixture models and its applications. Multim. Tools Appl. 82(21): 33267-33284 (2023) - [j191]Nuha 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) - [j190]Ali 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) - [j189]Hela 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) - [j188]Narges Manouchehri, Nizar Bouguila:
Human Activity Recognition with an HMM-Based Generative Model. Sensors 23(3): 1390 (2023) - [j187]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency. Sensors 23(19): 8296 (2023) - [j186]Ahmed 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) - [j185]Saeed 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) - [j184]Oumayma Dalhoumi, Nizar Bouguila, Manar Amayri, Wentao Fan:
Bayesian Matrix Factorization for Semibounded Data. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3111-3123 (2023) - [j183]Hafsa 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) - [j182]Lin 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) - [c293]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. ACIIDS (Companion) 2023: 145-156 - [c292]Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila:
Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) 2023: 297-309 - [c291]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
Finite Libby-Novick Beta Mixture Model: An MML-Based Approach. ACIIDS (1) 2023: 371-383 - [c290]Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila, Frédéric Wurtz, Benoit Delinchant:
Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context. CIIS 2023: 7-13 - [c289]Mohamed Bouzid, Manar Amayri, Nizar Bouguila:
Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models. CIIS 2023: 52-58 - [c288]Fatma Najar, Nizar Bouguila:
Sentiment Analysis Using Smoothed Probabilistic-Based Models. CoDIT 2023: 1185-1190 - [c287]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection. CoDIT 2023: 2055-2060 - [c286]Sneha Paul, Zachary Patterson, Nizar Bouguila:
CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud. CRV 2023: 273-280 - [c285]Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila:
Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness. CRV 2023: 281-287 - [c284]Hela 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. CRV 2023: 312-319 - [c283]Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila, Riad I. Hammoud:
MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images. CVPR Workshops 2023: 497-506 - [c282]Hamdi Barkous, Manar Amayri, Nizar Bouguila:
A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting. HPCC/DSS/SmartCity/DependSys 2023: 795-800 - [c281]Pantea Koochemeshkian, Nizar Bouguila:
Generalized Dirichlet-Multinomial Regression: Leveraging Arbitrary Features for Topic Modelling. HPCC/DSS/SmartCity/DependSys 2023: 884-891 - [c280]Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila, Manar Amayri:
Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions. HPCC/DSS/SmartCity/DependSys 2023: 926-933 - [c279]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture Model. ICAISC (2) 2023: 320-330 - [c278]Kamal Maanicshah, Manar Amayri, Nizar Bouguila:
Novel Topic Models for Content Based Recommender Systems. ICEIS (1) 2023: 138-145 - [c277]Viet Tra, Hussein Al-Bazzaz, Manar Amayri, Nizar Bouguila:
Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers. ICIIT 2023: 203-208 - [c276]Ornela Bregu, Nuha Zamzami, Nizar Bouguila:
Human Age Prediction Based on Brain MRI Using Density-Based Regression. ICIT 2023: 1-6 - [c275]Ahmed Yasser Eita, Hafsa Ennajari, Nizar Bouguila:
3D Multi-Views Object Classification Based on a Fully Generalized Dirichlet Allocation Model. ICIT 2023: 1-7 - [c274]Niloufar Samiee, Narges Manouchehri, Nizar Bouguila:
Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications. ICIT 2023: 1-7 - [c273]Sneha Paul, Zachary Patterson, Nizar Bouguila:
Semantic Segmentation Using Transfer Learning on Fisheye Images. ICMLA 2023: 445-452 - [c272]Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Iterative Feature Boosting for Explainable Speech Emotion Recognition. ICMLA 2023: 543-549 - [c271]Pantea Koochemeshkian, Nizar Bouguila:
Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions. ICMLA 2023: 1928-1935 - [c270]Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila:
Invertible Neural Network-Based Video Compression. ICPRAM 2023: 558-564 - [c269]Ornela Bregu, Nizar Bouguila:
Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach. ICTAI 2023: 491-495 - [c268]Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila:
A Selective Supervised Latent Beta-Liouville Allocation for Document Classification. IEA/AIE (1) 2023: 37-48 - [c267]Mohammad 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 - [c266]Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Generalized Probabilistic Clustering Projection Models for Discrete Data. ISNCC 2023: 1-7 - [c265]Asiye Baghbani, Saeed Rahmani, Nizar Bouguila, Zachary Patterson:
Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks. ITSC 2023: 3073-3078 - [c264]Mohamed Chaaben, Asiye Baghbani, Nizar Bouguila, Zachary Patterson:
Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting. ITSC 2023: 3116-3121 - [c263]Darya Forouzanfar, Narges Manouchehri, Nizar Bouguila:
Finite Multivariate McDonald's Beta Mixture Model Learning Approach in Medical Applications. SAC 2023: 1143-1150 - [c262]Fatemeh Rezapoor Nikroo, Manar Amayri, Nizar Bouguila:
HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings. SMARTGREENS 2023: 81-88 - [c261]Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. SMC 2023: 3428-3433 - [c260]Hussein 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. SMC 2023: 3446-3451 - [c259]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Explainable Robust Smart Meter Data Clustering for Improved Energy Management. SMC 2023: 5194-5199 - [c258]Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila:
Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. SMC 2023: 5212-5217 - [c257]Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Adaptive Constrained ICAMGGMM: An Improvement Over ICA. SNAMS 2023: 1-7 - [i2]Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila:
Automatic counting of planting microsites via local visual detection and global count estimation. CoRR abs/2311.00796 (2023) - 2022
- [j181]Xuanbo 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) - [j180]Ali 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) - [j179]Vahid Khorasani Ghassab, Nizar Bouguila:
Plug-and-Play video super-resolution using edge-preserving filtering. Comput. Vis. Image Underst. 216: 103359 (2022) - [j178]Fatma Najar, Nizar Bouguila:
Emotion recognition: A smoothed Dirichlet multinomial solution. Eng. Appl. Artif. Intell. 107: 104542 (2022) - [j177]Muhammad Azam, Nizar Bouguila:
Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length. Expert Syst. Appl. 204: 117516 (2022) - [j176]Narges 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) - [j175]Fatma Najar, Nizar Bouguila:
Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling. Inf. Sci. 586: 688-703 (2022) - [j174]Ghazaleh 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) - [j173]Lin Yang, Wentao Fan, Nizar Bouguila:
Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations. Knowl. Based Syst. 246: 108671 (2022) - [j172]Rim 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) - [j171]Vahid 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) - [j170]Ravi 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) - [j169]Narges Manouchehri, Nizar Bouguila, Wentao Fan:
Expectation propagation learning of finite multivariate Beta mixture models and applications. Neural Comput. Appl. 34(17): 14275-14285 (2022) - [j168]Bingwei 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) - [j167]Wentao 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) - [j166]Sami Bourouis, Yogesh Pawar, Nizar Bouguila:
Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures. Sensors 22(1): 186 (2022) - [j165]Omar Bouhamed, Manar Amayri, Nizar Bouguila:
Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning. Sensors 22(9): 3186 (2022) - [j164]Fatma Najar, Nizar Bouguila:
Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States. IEEE Trans. Artif. Intell. 3(5): 685-698 (2022) - [j163]Koffi Eddy Ihou, Manar Amayri, Nizar Bouguila:
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model. ACM Trans. Knowl. Discov. Data 16(5): 84:1-84:48 (2022) - [j162]Nuha 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) - [j161]Lin 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) - [j160]Samr 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) - [j159]Ricardo 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) - [c256]Mirabelle 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. AsiaCCS 2022: 452-466 - [c255]Narges Manouchehri, Nizar Bouguila:
Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications. FLAIRS 2022 - [c254]Kumar Prabhakaran, Jawher Dridi, Manar Amayri, Nizar Bouguila:
Explainable K-Means Clustering for Occupancy Estimation. FNC/MobiSPC/SEIT 2022: 326-333 - [c253]Wentao Fan, Manar Amayri, Nizar Bouguila:
Stochastic Expectation Propagation Learning for Unsupervised Feature Selection. ICCCI (CCIS Volume) 2022: 674-686 - [c252]Kian Ketabchi, Narges Manouchehri, Nizar Bouguila:
Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection. ICIT 2022: 1-6 - [c251]Narges Manouchehri, Nizar Bouguila:
A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications. ICIT 2022: 1-6 - [c250]Narges Manouchehri, Nizar Bouguila:
Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications. ICIT 2022: 1-6 - [c249]Rim Nasfi, Nizar Bouguila:
Indoor Activity Recognition Using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines. ICIT 2022: 1-6 - [c248]Ravi Teja Vemuri, Muhammad Azam, Nizar Bouguila, Zachary Patterson:
Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures. ICIT 2022: 1-6 - [c247]Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila:
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. ICMLA 2022: 375-381 - [c246]Alaa 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. ICMLA 2022: 699-702 - [c245]Zahra Montajabi, Vahid Khorasani Ghassab, Nizar Bouguila:
Recurrent Neural Network-Based Video Compression. ICMLA 2022: 925-930 - [c244]Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar:
Embedded Spherical Topic Models for Supervised Learning. ICPR 2022: 1650-1656 - [c243]Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila:
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data. IEA/AIE 2022: 431-442 - [c242]Ali Baghdadi, Narges Manouchehri, Nizar Bouguila:
A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions. ISIE 2022: 168-173 - [c241]Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar:
Knowledge-enhanced Spherical Representation Learning for Text Classification. SDM 2022: 639-647 - [c240]Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila:
Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data. SSCI 2022: 223-230 - [c239]Kamal Maanicshah, Manar Amayri, Nizar Bouguila:
Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model. SSCI 2022: 1143-1148 - [c238]Sahar Salmanzade Yazdi, Fatma Najar, Nizar Bouguila:
Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval. SSCI 2022: 1430-1435 - [c237]Kamal Maanicshah, Manar Amayri, Nizar Bouguila:
Interactive Generalized Dirichlet Mixture Allocation Model. S+SSPR 2022: 33-42 - [c236]Rim Nasfi, Nizar Bouguila:
Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach. S+SSPR 2022: 74-83 - [c235]Sneha Paul, Zachary Patterson, Nizar Bouguila:
Improved Training for 3D Point Cloud Classification. S+SSPR 2022: 253-263 - [i1]Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila:
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. CoRR abs/2209.02608 (2022) - 2021
- [j158]Md. Hafizur Rahman, Nizar Bouguila:
Efficient Feature Mapping in Classifying Proportional Data. IEEE Access 9: 3712-3724 (2021) - [j157]Sami Bourouis, Hassen Sallay, Nizar Bouguila:
A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis. IEEE Access 9: 13727-13736 (2021) - [j156]Behnam 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 Access 9: 31191-31212 (2021) - [j155]Sami 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 Access 9: 71170-71183 (2021) - [j154]Ornela 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) - [j153]Hassen 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) - [j152]Muhammad Azam, Nizar Bouguila:
Multivariate-bounded Gaussian mixture model with minimum message length criterion for model selection. Expert Syst. J. Knowl. Eng. 38(5) (2021) - [j151]Narges 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) - [j150]Narges 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) - [j149]Sami 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) - [j148]Sami 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. Imaging 7(1): 7 (2021) - [j147]Ornela Bregu, Nuha Zamzami, Nizar Bouguila:
Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution. Knowl. Based Syst. 225: 107051 (2021) - [j146]Sami 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) - [j145]Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila:
A statistical framework for few-shot action recognition. Multim. Tools Appl. 80(16): 24303-24318 (2021) - [j144]Vahid Khorasani Ghassab, Nizar Bouguila:
Plug-and-Play video reconstruction using sparse 3D transform-domain block matching. Mach. Vis. Appl. 32(3): 76 (2021) - [j143]Koffi 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) - [j142]Narges 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) - [j141]Yewang Chen, Lida Zhou, Nizar Bouguila, Cheng Wang, Yi Chen, Jixiang Du:
BLOCK-DBSCAN: Fast clustering for large scale data. Pattern Recognit. 109: 107624 (2021) - [j140]Wentao Fan, Ru Wang, Nizar Bouguila:
Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models. Pattern Recognit. 119: 108073 (2021) - [j139]Ahmed 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) - [j138]Fahd 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. Sensors 21(7): 2450 (2021) - [j137]Ziyang Song, Samr Ali, Nizar Bouguila:
Bayesian inference for infinite asymmetric Gaussian mixture with feature selection. Soft Comput. 25(8): 6043-6053 (2021) - [j136]Jiaxun 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) - [j135]Kamal 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) - [c234]Xavier Sumba, Nuha Zamzami, Nizar Bouguila:
Clustering Count Data with Stochastic Expectation Propagation. ACIIDS 2021: 119-129 - [c233]Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Wentao Fan:
Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model. ACIIDS 2021: 130-143 - [c232]Ornela Bregu, Nuha Zamzami, Nizar Bouguila:
Mixture-Based Unsupervised Learning for Positively Correlated Count Data. ACIIDS 2021: 144-154 - [c231]Samar Hannachi, Fatma Najar, Nizar Bouguila:
Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model. ACIIDS (Companion) 2021: 149-161 - [c230]Fatma Najar, Nizar Bouguila:
Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation. ADMA 2021: 177-191 - [c229]Zixiang Xian, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model. EUSIPCO 2021: 1436-1440 - [c228]Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan:
Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. FLAIRS 2021 - [c227]Xuanbo Su, Nizar Bouguila, Nuha Zamzami:
Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models. FLAIRS 2021 - [c226]Fatma Najar, Nizar Bouguila:
Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge. ICDAR (2) 2021: 351-363 - [c225]Yogesh Pawar, Manar Amayri, Nizar Bouguila:
Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models. ICIT 2021: 913-918 - [c224]Muhammad Azam, Jai Puneet Singh, Nizar Bouguila:
Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field. ICIT 2021: 936-941 - [c223]Narges Manouchehri, Nizar Bouguila, Wentao Fan:
Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions. ICMLA 2021: 298-303 - [c222]Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila:
Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications. IEA/AIE (1) 2021: 285-296 - [c221]Samar 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 - [c220]Narges Manouchehri, Nizar Bouguila:
Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis. IECON 2021: 1-6 - [c219]Md. Hafizur Rahman, Samr Ali, Nizar Bouguila:
Efficient Parameter Based Online Object Tracking. IJCNN 2021: 1-8 - [c218]Zixiang Xian, Muhammad Azam, Nizar Bouguila:
Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition. IRI 2021: 41-48 - [c217]Narges Manouchehri, Ali Baghdadi, Nizar Bouguila:
A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution. IRI 2021: 61-68 - [c216]Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila:
A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models. IRI 2021: 83-90 - [c215]Fatma Najar, Nizar Bouguila:
Jointly smoothing word embedding and text representation. IRI 2021: 282-289 - [c214]Omar Graja, Fatma Najar, Manar Amayri, Nizar Bouguila:
Inverted Dirichlet State Space Model for Time Series Forecasting. ISIE 2021: 1-6 - [c213]Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila:
Online Variational Learning of Shifted Scaled Dirichlet Mixture. ISIE 2021: 1-6 - [c212]Ahmed Rebei, Oumayma Dalhoumi, Narges Manouchehri, Ali Baghdadi, Manar Amayri, Nizar Bouguila:
Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. ISNCC 2021: 1-6 - [c211]Vahid Khorasani Ghassab, Nizar Bouguila:
Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning. ISVC (2) 2021: 251-262 - [c210]Wentao Fan, Zhiyan Guo, Nizar Bouguila, Wenjuan Hou:
Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models. SIGIR 2021: 2126-2130 - 2020
- [j134]Victor 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) - [j133]Maria 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) - [j132]Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila:
Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis. Cybern. Syst. 51(4): 442-466 (2020) - [j131]Nuha 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) - [j130]Ziyang Song, Samr Ali, Nizar Bouguila, Wentao Fan:
Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution. Digit. Signal Process. 106: 102829 (2020) - [j129]Koffi Eddy Ihou, Nizar Bouguila:
Stochastic topic models for large scale and nonstationary data. Eng. Appl. Artif. Intell. 88 (2020) - [j128]Wentao 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) - [j127]Ziyang 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) - [j126]Samr Ali, Nizar Bouguila:
Multimodal action recognition using variational-based Beta-Liouville hidden Markov models. IET Image Process. 14(17): 4785-4794 (2020) - [j125]Roobaea 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) - [j124]Meeta 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) - [j123]Nuha 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) - [j122]Narges Manouchehri, Hieu Nguyen, Pantea Koochemeshkian, Nizar Bouguila, Wentao Fan:
Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions. Inf. Syst. Frontiers 22(5): 1085-1093 (2020) - [j121]Rim 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) - [j120]Wentao 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) - [j119]Walid Masoudimansour, Nizar Bouguila:
Supervised dimensionality reduction of proportional data using mixture estimation. Pattern Recognit. 105: 107379 (2020) - [j118]Shuai Fu, Nizar Bouguila:
A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference. Soft Comput. 24(7): 4841-4853 (2020) - [j117]Fatma 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) - [j116]Muhammad Azam, Nizar Bouguila:
Multivariate bounded support Laplace mixture model. Soft Comput. 24(17): 13239-13268 (2020) - [j115]Mohaned 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) - [j114]Nuha Zamzami, Nizar Bouguila:
Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior. ACM Trans. Knowl. Discov. Data 14(6): 69:1-69:35 (2020) - [j113]Vahid Khorasani Ghassab, Nizar Bouguila:
Light Field Super-Resolution Using Edge-Preserved Graph-Based Regularization. IEEE Trans. Multim. 22(6): 1447-1457 (2020) - [j112]Wentao 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) - [c209]Fatma Najar, Nizar Bouguila:
Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model. Canadian AI 2020: 438-444 - [c208]Xavier Sumba, Nizar Bouguila:
Improving Classification Using Topic Correlation and Expectation Propagation. Canadian AI 2020: 496-507 - [c207]Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila:
Variational learning of a shifted scaled Dirichlet model with component splitting approach. AI4I 2020: 75-78 - [c206]Fatma 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. ATSIP 2020: 1-6 - [c205]Xavier Sumba, Nuha Zamzami, Nizar Bouguila:
Improving the EDCM Mixture Model with Expectation Propagation. FLAIRS 2020: 209-212 - [c204]Maryam Rasti, Narges Manouchehri, Nizar Bouguila:
MCMC-Based Learning of Finite Bivariate Beta Mixture Models. FLAIRS 2020: 621-625 - [c203]Samr Ali, Nizar Bouguila:
Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition. ICIP 2020: 3279-3283 - [c202]Nuha Zamzami, Pantea Koochemeshkian, Nizar Bouguila:
A Distribution-based Regression for Real-time COVID-19 Cases Detection from Chest X-ray and CT Images. IRI 2020: 104-111 - [c201]Srikanth Amudala, Samr Ali, Nizar Bouguila:
Background Subtraction with a Hierarchical Pitman-Yor Process Mixture Model of Generalized Gaussian Distributions. IRI 2020: 112-119 - [c200]Mahsa Amirkhani, Narges Manouchehri, Nizar Bouguila:
Fully Bayesian Learning of Multivariate Beta Mixture Models. IRI 2020: 120-127 - [c199]Vahid Khorasani Ghassab, Kamal Maanicshah, Nizar Bouguila, Paul Green:
REP-Model: A deep learning framework for replacing ad billboards in soccer videos. ISM 2020: 149-153 - [c198]Pantea Koochemeshkian, Narges Manouchehri, Nizar Bouguila:
Bivariate Beta Regression Model and Its Medical Applications. ISNCC 2020: 1-5 - [c197]Fatma Najar, Nuha Zamzami, Nizar Bouguila:
Recognition of human interactions in feature films based on infinite mixture of EDCM. ISNCC 2020: 1-6 - [c196]Yogesh Pawar, Manar Amayri, Nizar Bouguila:
Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation. ISNCC 2020: 1-6 - [c195]Yogesh Pawar, Nuha Zamzami, Nizar Bouguila:
An Effective Hybrid Anomaly Detection System Based on Mixture Models. ISNCC 2020: 1-6 - [c194]Md. Hafizur Rahman, Nizar Bouguila:
Probabilistic Features on Simplex Manifold in Predictive Data Modelling. ISNCC 2020: 1-6 - [c193]Fatma Najar, Nizar Bouguila:
Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures. ISVC (2) 2020: 27-38 - [c192]Omar Graja, Fatma Najar, Nizar Bouguila:
Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting. ISVC (1) 2020: 410-421 - [c191]Samr Ali, Nizar Bouguila:
On Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Data. MMSP 2020: 1-6 - [c190]Srikanth Amudala, Samr Ali, Nizar Bouguila:
Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection. SMC 2020: 120-127 - [c189]Mark Haddad, Vahid Khorasani Ghassab, Fatma Najar, Nizar Bouguila:
Instance-Based Learning for Human Action Recognition. SMC 2020: 147-153 - [c188]Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila:
A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification. SMC 2020: 1155-1160 - [c187]Md. Hafizur Rahman, Nizar Bouguila:
Inverted Dirichlet and Related Distributions Based Feature Mapping for Data Classification. SMC 2020: 3588-3593 - [c186]Pantea Koochemeshkian, Nuha Zamzami, Nizar Bouguila:
Distribution-based Regression Models for Semi-Bounded Data Analysis. SMC 2020: 4073-4080 - [c185]Samr Ali, Nizar Bouguila:
Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling. SMC 2020: 4081-4087
2010 – 2019
- 2019
- [j111]Sami Bourouis, Atef Zaguia, Nizar Bouguila, Roobaea Alroobaea:
Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification. IEEE Access 7: 1107-1117 (2019) - [j110]Wajdi Alhakami, Abdullah Alharbi, Sami Bourouis, Roobaea Alroobaea, Nizar Bouguila:
Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection. IEEE Access 7: 52181-52190 (2019) - [j109]Manar Amayri, Stéphane Ploix, Nizar Bouguila, Frédéric Wurtz:
Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments. IEEE Access 7: 53932-53944 (2019) - [j108]Wassim Bouachir, Koffi Eddy Ihou, Houssem-Eddine Gueziri, Nizar Bouguila, Nicolas Bélanger:
Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery. IEEE Access 7: 82491-82500 (2019) - [j107]Wentao Fan, Nizar Bouguila:
Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions. IEEE Access 7: 83600-83614 (2019) - [j106]Nuha 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) - [j105]Nuha Zamzami, Nizar Bouguila:
Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models. Appl. Intell. 49(11): 3783-3800 (2019) - [j104]Koffi Eddy Ihou, Nizar Bouguila:
Variational-based latent generalized Dirichlet allocation model in the collapsed space and applications. Neurocomputing 332: 372-395 (2019) - [j103]Can Hu, Wentao Fan, Ji-Xiang Du, Nizar Bouguila:
A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models. Neurocomputing 333: 110-123 (2019) - [j102]Yewang 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) - [j101]Giovanna 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) - [j100]Wentao 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) - [j99]Fatma 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) - [j98]Sami 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) - [j97]Muhammad Azam, Nizar Bouguila:
Bounded Generalized Gaussian Mixture Model with ICA. Neural Process. Lett. 49(3): 1299-1320 (2019) - [j96]Wentao 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) - [j95]Elise Epaillard, Nizar Bouguila:
Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs - A practical study. Pattern Recognit. 85: 207-219 (2019) - [j94]Nuha 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) - [j93]Sami 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) - [j92]Elise 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) - [j91]Wentao 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) - [c184]Fahdah Alalyan, Nuha Zamzami, Manar Amayri, Nizar Bouguila:
An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures. CoDIT 2019: 1723-1728 - [c183]Divya Ankam, Nizar Bouguila, Manar Amayri:
Beta-Liouville Regression and Applications. CoDIT 2019: 1740-1745 - [c182]Samr Ali, Nizar Bouguila:
Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition. CVPR Workshops 2019: 898-906 - [c181]Samr Ali, Nizar Bouguila:
Dynamic Texture Recognition using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines. GlobalSIP 2019: 1-5 - [c180]Vahid Khorasani Ghassab, Nizar Bouguila:
An embedding framework for video reconstruction using Gaussian mixture models. GlobalSIP 2019: 1-5 - [c179]Omar Graja, Nizar Bouguila:
Finite Inverted Dirichlet Mixture Optimal Pixel Predictor. GlobalSIP 2019: 1-5 - [c178]Narges Manouchehri, Hieu Nguyen, Nizar Bouguila:
Component Splitting-based Approach for Multivariate Beta Mixture Models Learning. GlobalSIP 2019: 1-5 - [c177]Nuha Zamzami, Nizar Bouguila:
An Accurate Evaluation of MSD Log-likelihood and its Application in Human Action Recognition. GlobalSIP 2019: 1-5 - [c176]Divya 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 - [c175]Narges Manouchehri, Nizar Bouguila:
A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions. ICEIS (1) 2019: 373-380 - [c174]Kamal 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 - [c173]Hieu 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 - [c172]Ziyang Song, Samr Ali, Nizar Bouguila:
Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction. ICIAR (1) 2019: 264-274 - [c171]Muhammad Azam, Nizar Bouguila:
Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution. IRI 2019: 143-150 - [c170]Hieu Nguyen, Meeta Kalra, Muhammad Azam, Nizar Bouguila:
Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models. IRI 2019: 267-274 - [c169]Fatma Najar, Nuha Zamzami, Nizar Bouguila:
Fake News Detection Using Bayesian Inference. IRI 2019: 389-394 - [c168]Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, Nizar Bouguila:
A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings. ISC2 2019: 414-419 - [c167]Jaspreet Singh Kalsi, Nizar Bouguila:
Color Image Segmentation Using Generalized Inverted Dirichlet Finite Mixture Models By Integrating Spatial Information. ISIE 2019: 1379-1384 - [c166]Hieu Nguyen, Muhammad Azam, Nizar Bouguila:
Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models. ISIE 2019: 1391-1396 - [c165]Narges Manouchehri, Jaspreet Singh Kalsi, Manar Amayri, Nizar Bouguila:
Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. ISIE 2019: 1407-1412 - [c164]Fahdah Alalyan, Nuha Zamzami, Nizar Bouguila:
Model-Based Hierarchical Clustering for Categorical Data. ISIE 2019: 1424-1429 - [c163]Kamal Maanicshah, Nizar Bouguila, Wentao Fan:
Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach. ISIE 2019: 1453-1458 - [c162]Nuha Zamzami, Manar Amayri, Nizar Bouguila, Stéphane Ploix:
Online Clustering for Estimating Occupancy in an Office Setting. ISIE 2019: 2195-2200 - [c161]Samr Ali, Nizar Bouguila:
Hybrid Generative-Discriminative Generalized Dirichlet-Based Hidden Markov Models with Support Vector Machines. ISM 2019: 231-232 - [c160]Masoud Daghyani, Nuha Zamzami, Nizar Bouguila:
Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution. SSCI 2019: 986-993 - [c159]Manar Amayri, Stéphane Ploix, Fatma Najar, Nizar Bouguila, Frédéric Wurtz:
A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings. SSCI 2019: 1729-1734 - [c158]Yu Zhang, Wentao Fan, Nizar Bouguila:
Unsupervised Image Categorization Based on Variational Autoencoder and Student's-T Mixture Model. SSCI 2019: 2403-2409 - [c157]Srikanth Amudala, Samr Ali, Fatma Najar, Nizar Bouguila:
Variational Inference of Finite Generalized Gaussian Mixture Models. SSCI 2019: 2433-2439 - [c156]Md. Hafizur Rahman, Nizar Bouguila:
Distribution Based Feature Mapping for Classifying Count Data. SSCI 2019: 2440-2447 - [c155]Ziyang Song, Ornela Bregu, Samr Ali, Nizar Bouguila:
Variational Inference of Finite Asymmetric Gaussian Mixture Models. SSCI 2019: 2448-2454 - [c154]Narges Manouchehri, Maryam Rahmanpour, Nizar Bouguila, Wentao Fan:
Learning of Multivariate Beta Mixture Models via Entropy-based component splitting. SSCI 2019: 2825-2832 - 2018
- [j90]Wentao Fan, Nizar Bouguila, Sami Bourouis, Yacine Laalaoui:
Entropy-based variational Bayes learning framework for data clustering. IET Image Process. 12(10): 1762-1772 (2018) - [j89]Sami Bourouis, Yacine Laalaoui, Nizar Bouguila:
A purely Bayesian approach for proportional visual data modelling. Int. J. Intell. Eng. Informatics 6(5): 491-508 (2018) - [j88]Ines 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) - [j87]Wentao 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) - [j86]Yewang 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) - [c153]Nuha Zamzami, Nizar Bouguila:
MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models. Canadian AI 2018: 211-217 - [c152]Rua Alsuroji, Nizar Bouguila, Nuha Zamzami:
Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution. AI4I 2018: 15-18 - [c151]Nuha Zamzami, Nizar Bouguila:
Consumption Behavior Prediction Using Hierarchical Bayesian Frameworks. AI4I 2018: 31-34 - [c150]Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni:
Color image segmentation with bounded generalized Gaussian mixture model and feature selection. ATSIP 2018: 1-6 - [c149]Wentao Fan, Nizar Bouguila:
An Accelerated Variational Framework for Face Expression Recognition. BlackSeaCom 2018: 1-5 - [c148]Shuai Fu, Nizar Bouguila:
Asymmetric Gaussian Mixtures with Reversible Jump MCMC. CCECE 2018: 1-4 - [c147]Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith:
A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition. CCECE 2018: 1-4 - [c146]Jai Puneet Singh, Nizar Bouguila:
Image Segmentation Using Inverted Dirichlet Mixture Model and Spatial Information. CCECE 2018: 1-4 - [c145]Shuai Fu, Nizar Bouguila:
A Bayesian Intrusion Detection Framework. Cyber Security 2018: 1-8 - [c144]Yewang 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. ICDM 2018: 911-916 - [c143]Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni:
A Flexible Statistical Model for Image Denoising. ICIAR 2018: 30-38 - [c142]Fatma Najar, Sami Bourouis, Atef Zaguia, Nizar Bouguila, Safya Belghith:
Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM. ICIAR 2018: 408-415 - [c141]Sami Bourouis, Atef Zaguia, Nizar Bouguila:
Hybrid Statistical Framework for Diabetic Retinopathy Detection. ICIAR 2018: 687-694 - [c140]Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni:
Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation. ICISP 2018: 36-44 - [c139]Sami Bourouis, Nizar Bouguila, Yexing Li, Muhammad Azam:
Visual Scene Reconstruction Using a Bayesian Learning Framework. ICISP 2018: 225-232 - [c138]Muhammad Azam, Nizar Bouguila:
Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval. ICMLA 2018: 558-563 - [c137]Rua Alsuroji, Nuha Zamzami, Nizar Bouguila:
Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model. ICMLA 2018: 707-713 - [c136]Basim Alghabashi, Nizar Bouguila:
Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML. ICMLA 2018: 1131-1138 - [c135]Shuai Fu, Nizar Bouguila:
Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization. ICMLA 2018: 1205-1208 - [c134]Nuha Zamzami, Nizar Bouguila:
Text Modeling Using Multinomial Scaled Dirichlet Distributions. IEA/AIE 2018: 69-80 - [c133]Wentao 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/AIE 2018: 342-354 - [c132]Shuai Fu, Nizar Bouguila:
Bayesian Learning of Finite Asymmetric Gaussian Mixtures. IEA/AIE 2018: 355-365 - [c131]Muhammad Azam, Nizar Bouguila:
Speaker Verification Using Adapted Bounded Gaussian Mixture Model. IRI 2018: 300-307 - [c130]Divya Ankam, Nizar Bouguila:
Compositional Data Analysis with PLS-DA and Security Applications. IRI 2018: 338-345 - [c129]Jiangpeng Fu, Wentao Fan, Nizar Bouguila:
A Novel Approach for Anomaly Event Detection in Videos Based on Autoencoders and SE Networks. ISIVC 2018: 179-184 - [c128]Omar Graja, Muhammad Azam, Nizar Bouguila:
Breast Cancer Diagnosis using Quality Control Charts and Logistic Regression. ISIVC 2018: 215-220 - [c127]Narges Manouchehri, Nizar Bouguila:
Learning of Finite Two-Dimensional Beta Mixture Models. ISIVC 2018: 227-232 - [c126]Basim Alghabashi, Nizar Bouguila:
A Finite Multi-Dimensional Generalized Gamma Mixture Model. iThings/GreenCom/CPSCom/SmartData 2018: 807-814 - [c125]Fahd 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/SmartData 2018: 1841-1847 - [c124]Muhammad Azam, Nizar Bouguila:
Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model. MWSCAS 2018: 833-836 - [c123]Koffi Eddy Ihou, Nizar Bouguila:
A Smoothed Latent Generalized Dirichlet Allocation Model in the Collapsed Space. MWSCAS 2018: 877-880 - 2017
- [j85]Wentao 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) - [j84]Wentao 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) - [c122]Jai Puneet Singh, Nizar Bouguila:
Intrusion Detection Using Unsupervised Approach. AFRICATEK 2017: 192-201 - [c121]Sami Bourouis, Faisal R. Al-Osaimi, Nizar Bouguila, Hassen Sallay, Fahd M. Aldosari, Mohamed Al Mashrgy:
Video Forgery Detection Using a Bayesian RJMCMC-Based Approach. AICCSA 2017: 71-75 - [c120]Fatma Najar, Sami Bourouis, Nizar Bouguila, Safya Belghith:
A Comparison Between Different Gaussian-Based Mixture Models. AICCSA 2017: 704-708 - [c119]Jai Puneet Singh, Nizar Bouguila:
Spatially constrained non-Gaussian mixture model for image segmentation. CCECE 2017: 1-4 - [c118]Wentao Fan, Nizar Bouguila, Xin Liu:
A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation. ICASSP 2017: 2771-2775 - [c117]Walid Masoudimansour, Nizar Bouguila:
Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data. ICASSP 2017: 2806-2810 - [c116]Yewang Chen, Jai Puneet Singh, Lida Zhou, Nizar Bouguila:
FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree. ICDM Workshops 2017: 1160-1165 - [c115]Jai Puneet Singh, Nizar Bouguila:
Proportional data clustering using K-means algorithm: A comparison of different distances. ICIT 2017: 1048-1052 - [c114]Bromensele Samuel Oboh, Nizar Bouguila:
Unsupervised learning of finite mixtures using scaled dirichlet distribution and its application to software modules categorization. ICIT 2017: 1085-1090 - [c113]Koffi Eddy Ihou, Nizar Bouguila:
A new latent generalized dirichlet allocation model for image classification. IPTA 2017: 1-6 - [c112]Jai Puneet Singh, Nizar Bouguila:
Spatially constrained Generalized Dirichlet mixture model for image segmentation. MWSCAS 2017: 140-143 - 2016
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