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ORCID19th ICMLA 2020: Miami, FL, USA
- M. Arif Wani, Feng Luo, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi:
19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020. IEEE 2020, ISBN 978-1-7281-8470-8 - Michel Chammas, Abdallah Makhoul, Jacques Demerjian:
Writer identification for historical handwritten documents using a single feature extraction method. 1-6 - Juan Borrego-Carazo, David Castells-Rufas, Jordi Carrabina
, Ernesto Biempica:
Extending SpArSe: Automatic Gesture Recognition Architectures for Embedded Devices. 7-12 - Qian Wang, Neelanjan Bhowmik, Toby P. Breckon:
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. 13-18 - Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell:
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. 19-24 - Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz:
Knowledge Graph Extraction from Videos. 25-32 - Kentaro Goto, Masato Uchida:
Tsallis Entropy Based Labelling. 33-40 - Jiebo Luo:
Learning with Unpaired Data. 38 - José C. Príncipe:
A Cognitive Architecture for Object Recognition in Video. 39 - Saad Mohamad, Abdelhamid Bouchachia:
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. 41-48 - John Osorio Ríos, Adrià Armejach, Gulrukh Khattak, Eric Petit, Sofia Vallecorsa, Marc Casas:
Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors. 49-56 - Vivek Aswal, Omkar Tupe, Shifa Shaikh, Nadir N. Charniya:
Single Camera Masked Face Identification. 57-60 - Ingrid Nascimento, Pedro Castro, Sofia Klautau, Luan Gonçalves, Carnot Filho, Flávio Brito, Aldebaro Klautau, Silvia Lins:
Public Dataset of Parking Lot Videos for Computational Vision Applied to Surveillance. 61-64 - Xiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang:
Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. 65-70 - Nuno Pereira, Luís A. Alexandre:
MaskedFusion: Mask-based 6D Object Pose Estimation. 71-78 - Gábor Balázs, Walter Stechele:
Neural Architecture Search for Automotive Grid Fusion Networks Under Embedded Hardware Constraints. 79-86 - Xian Wang, Lingqiao Liu, Qinfeng Shi:
Harmonic Structure-Based Neural Network Model for Music Pitch Detection. 87-92 - Tim Stadtmann, Cecilia Latotzke, Tobias Gemmeke:
From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks. 93-100 - Shuyue Guan, Murray H. Loew:
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. 101-106 - Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar:
Neural Data Augmentation Techniques for Time Series Data and its Benefits. 107-114 - Darryl Hond, Hamid Asgari, Daniel Jeffery:
Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures. 115-121 - Santiago Gomez-Rosero, Miriam A. M. Capretz, Syed Mir:
Deep neural network for load forecasting centred on architecture evolution. 122-129 - Zheng Shi, Nur Sila Gulgec, Albert S. Berahas, Shamim N. Pakzad, Martin Takác:
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations. 130-135 - William Thomson, Neelanjan Bhowmik, Toby P. Breckon:
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. 136-141 - Timothy Reese, Michael Zhu:
LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification. 142-147 - Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu:
NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks. 148-152 - Sergei A. Plotnikov, Alexander L. Fradkov, Denis N. Komarov:
Adaptive Algorithm for Estimation of Model of Neural Activity in Brain-Computer Interfaces. 153-156 - Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis:
Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on Hearthstone. 157-162 - Payal Mitra, Thom Pijnenburg, Viachaslau Sazonau:
Discovering Gene-Disease Associations with Biomedical Word Embeddings. 163-170 - Shon Mendelson, Boaz Lerner:
Online Cluster Drift Detection for Novelty Detection in Data Streams. 171-178 - Arun V. Sathanur, Nathan A. Baker:
A clustering-based biased Monte Carlo approach to protein titration curve prediction. 179-184 - Rakesh Kumar Yadav, Abhishek, Sourav S, Shekhar Verma:
GCN with Clustering Coefficients and Attention Module. 185-190 - Sayeed Shafayet Chowdhury, Kazi Mejbaul Islam, Rouhan Noor:
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense. 191-194 - Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Kun Yuan, Won-Sook Lee:
RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray Images. 195-200 - Alba Sandyra Bezerra Lopes, Anne Magály de Paula Canuto, Monica Magalhães Pereira:
Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs. 201-204 - Xiao Wang, Saasha Nair, Matthias Althoff:
Falsification-Based Robust Adversarial Reinforcement Learning. 205-212 - Osonde A. Osoba, Raffaele Vardavas, Justin Grana, Rushil Zutshi, Amber Jaycocks:
Modeling Agent Behaviors for Policy Analysis via Reinforcement Learning. 213-219 - Stefano De Blasi, Alexander Gepperth:
SASBO: Self-Adapting Safe Bayesian Optimization. 220-225 - Bassel Ali, Koichi Moriyama, Masayuki Numao, Ken-ichi Fukui:
Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional Problems. 226-233 - Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink:
Optimizing CNN using Fast Fourier Transformation for Object Recognition. 234-239 - Rodrigo Araujo Lima Torres, Marcelo Ladeira:
A proposal for online analysis and identification of fraudulent financial transactions. 240-245 - Ishani Chakraborty:
Bayesian Sampler: Fairness in Sampling. 246-251 - Debzani Deb, Mina M. Guirguis:
Use of Auxiliary Classifier Generative Adversarial Network in Touchstroke Authentication. 252-257 - Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li:
Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. 258-263 - Jorge Castro, Roberto Vargas-Masís, Danny Alfaro Rojas:
Deep Multiple Instance Learning Ensemble for the Acoustic Detection of Tropical Birds. 264-269 - Edouard Pineau, Sébastien Razakarivony, Thomas Bonald:
Unsupervised ageing detection of mechanical systems on a causality graph. 270-277 - Nupur Giri, Richard Joseph, Sanika Chavan, Raghav Heda, Reema Israni, Ritika Sethiya:
AI-based prediction for early detection of Tuberculosis in India based on environmental factors. 278-285 - Ryan Omidi, Ali Moghimi, Alireza Pourreza, Mohamed El-Hadedy, Anas Salah Eddin:
Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves. 286-293 - Manuel Ladron de Guevara, Christopher George, Akshat Gupta, Daragh Byrne, Ramesh Krishnamurti:
Multimodal Word Sense Disambiguation in Creative Practice. 294-301 - M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner:
Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. 302-307 - Mark Lennox, Neil Robertson, Barry Devereux:
Deep Metric Learning for Proteomics. 308-313 - Anna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman:
Automatic generation of reviews of scientific papers. 314-319 - Thanh-Nam Doan, Shaghayegh Sahebi:
TransCrossCF: Transition-based Cross-Domain Collaborative Filtering. 320-327 - Raviteja Vangara, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Manish Bhattarai, Valentin G. Stanev, Boian S. Alexandrov:
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. 328-335 - Koen Weterings, Shir-Lee Kimelman, Stefano Bromuri, Marko C. J. D. van Eekelen:
Interpreting Attention Models: LSTM vs. CNN : A case study on customer activation. 336-343 - Andrey Sapegin, Christoph Meinel:
K-metamodes: frequency-and ensemble-based distributed k-modes clustering for security analytics. 344-351 - Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears:
Linguistic Features for Detecting Fake Reviews. 352-359 - Mehadi Hassen, Philip K. Chan:
Unsupervised Open Set Recognition using Adversarial Autoencoders. 360-365 - Hamed Yousefi, Farnaz Mohammadi, Niloufar Mirian, Navid Amini:
Tuberculosis Bacilli Identification: A Novel Feature Extraction Approach via Statistical Shape and Color Models. 366-371 - Luisa Velasco, Evan McClellan, Nobuo Sato, Pawel Ambrozewicz, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li:
cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network. 372-375 - Danish Syed, Naman Gandhi, Arushi Arora, Nilesh Kadam:
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection. 376-383 - Yingnan Liu, Randy Clinton Paffenroth:
Ensemble CNN in Transform Domains for Image Super-resolution from Small Data Sets. 384-391 - Ziyang Tang, Xiang Liu, Baijian Yang:
PENet: Object Detection Using Points Estimation in High Definition Aerial Images. 392-398 - Mateus Curcino de Lima, Maria Camila Nardini Barioni, Elaine R. Faria, Humberto Luiz Razente:
EVISClass: a new evaluation method for image data stream classifiers. 399-406 - Hao Xin, Michael Yu Zhu:
Conditional Score Matching for Image to Image Regression. 407-414 - Gabriel Castaneda, Paul Morris, Taghi M. Khoshgoftaar:
Evaluating The Number of Trainable Parameters on Deep Maxout and LReLU Networks for Visual Recognition. 415-421 - Ranjana Koshy, Ausif Mahmood:
Enhanced Anisotropic Diffusion-based CNN-LSTM Architecture for Video Face Liveness Detection. 422-425 - Oskar Taubert, Markus Götz, Alexander Schug, Achim Streit:
Loss Scheduling for Class-Imbalanced Image Segmentation Problems. 426-431 - Alexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans:
Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection. 432-437 - Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar:
Deep Learning Based Covert Attack Identification for Industrial Control Systems. 438-445 - Shih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu:
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights. 446-453 - Deepanshi Seth, Sharanya Eswaran, Tridib Mukherjee, Mridul Sachdeva:
A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming. 454-459 - Hanna E. Witzgall:
Rapid Class Augmentation For Continuous Deep Learning Applications. 460-466 - Gautam Raj Mode, Khaza Anuarul Hoque:
Crafting Adversarial Examples for Deep Learning Based Prognostics. 467-472 - Truong Vinh Truong Duy, Naotake Natori:
Efficient Defect Detection from Consecutive Monocular Images by Deep Learning. 473-478 - Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima:
Theoretical Analysis of the Advantage of Deepening Neural Networks. 479-484 - Arooshi Taneja, Yashvi Gulati, Tushar Chugh, Pawan Joshi, Narina Thakur:
Heart Audio Classification Using Deep Learning. 485-488 - Fahad Al-homayani, Mohammad H. Mahoor:
Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeB. 489-494 - Walter D. Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov:
Generalized Adversarial Distances to Efficiently Discover Classifier Errors. 495-502 - Topon Kumar Paul, Takeichiro Nishikawa, Shigeru Maya, Akihiro Itakura, Toshihide Kawachi, Akira Ogawa, Hiroshi Yokota:
Segmentation of Multi-State Compound Waveform and Extraction of Features for Anomaly Detection. 503-510 - Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec:
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction. 511-518 - Ioannis Kansizoglou, Nicholas Santavas, Loukas Bampis, Antonios Gasteratos:
HASeparator: Hyperplane-Assisted Softmax. 519-526 - Nitish Bahadur, Randy C. Paffenroth:
Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis. 527-534 - Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João Carlos Xavier Jr.:
An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles. 535-538 - Ben Hadad, Boaz Lerner:
Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS. 539-544 - Baris Bayram, Bilge Köroglu, Mehmet Gönen:
Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees. 545-550 - Nat Pavasant, Masayuki Numao, Ken-ichi Fukui:
Spatio-Temporal Change Detection with Granger Causality Based Cluster Sequence Mining. 551-558 - Mayamin Hamid Raha, Tonmoay Deb, Mahieyin Rahmun, Shahriar Ali Bijoy, Adnan Firoze, Mohammad Ashrafuzzaman Khan:
CAE: Towards Crowd Anarchism Exploration. 559-564 - Sebastian Wankerl, Gerhard Götz, Andreas Hotho:
f2tag - Can Tags be Predicted Using Formulas? 565-571 - John T. Hancock, Taghi M. Khoshgoftaar:
Performance of CatBoost and XGBoost in Medicare Fraud Detection. 572-579 - Linchen Qian, Jiasong Chen, Timur Urakov, Weiyong Gu, Liang Liang:
CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images. 580-585 - Antonio Carlos Falcão Petri, Diego Furtado Silva:
Towards logical association rule mining on ontology-based semantic trajectories. 586-591 - Ranjani Murali:
Analysis of COVID-19 in different countries using Wigner energy distribution and clustering. 592-597 - Stijn de Waele:
Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations. 598-603 - Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks. 604-611 - Christopher Mayershofer, Dimitrij-Marian Holm, Benjamin Molter, Johannes Fottner:
LOCO: Logistics Objects in Context. 612-617 - Weidong Zou, Yuanqing Xia, Weipeng Cao:
Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. 618-625 - Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Diego Furtado Silva, Helena de Medeiros Caseli:
Benchmarking Machine Learning Solutions in Production. 626-633 - Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov:
Forecasting Rogue Waves in Oceanic Waters. 634-640 - Divyanshu Daiya:
Combining Temporal Event Relations and Pre-Trained Language Models for Text Summarization. 641-646 - Christopher Mayershofer, Ala Hammami, Johannes Fottner:
Multi-Class Object Detection Using 2D Poses. 647-652 - Jakim Berndsen, Barry Smyth, Aonghus Lawlor:
A Collaborative Filtering Approach to Successfully Completing The Marathon. 653-658 - Raven Reisch, Tobias Hauser, Benjamin Lutz, Matteo Pantano, Tobias Kamps, Alois C. Knoll:
Distance-Based Multivariate Anomaly Detection in Wire Arc Additive Manufacturing. 659-664 - Jesse Roberts, Douglas H. Fisher:
pReview: The Artificially Intelligent Conference Reviewer. 665-668 - Nishant Vishwamitra, Ruijia (Roger) Hu, Feng Luo, Long Cheng, Matthew Costello, Yin Yang:
On Analyzing COVID-19-related Hate Speech Using BERT Attention. 669-676 - Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak:
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. 677-684 - Joris Guérin, Anne Magály de Paula Canuto, Luiz Marcos Garcia Gonçalves:
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering. 685-692 - Teguh Budianto, Tomohiro Nakai, Kazunori Imoto, Takahiro Takimoto, Kosuke Haruki:
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection. 693-700 - Amirali Darvishzadeh, Thomas F. Stahovich:
Finding and Segmenting Mathematical Equations in Students' Online Handwritten Assignments. 701-708 - Rahul Mishra, Piyush Yadav, Rémi Calizzano, Markus Leippold:
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching. 709-716 - Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody:
Lower Bounds for Adversarially Robust PAC Learning under Evasion and Hybrid Attacks. 717-722 - Archika Sharma, M. Omair Shafiq:
Predicting purchase probability of retail items using an ensemble learning approach and historical data. 723-728 - Yuwei Sun, Hiroshi Esaki, Hideya Ochiai:
Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption. 729-734 - Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan:
Federated Learning of Neural Network Models with Heterogeneous Structures. 735-740 - Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos:
Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments. 741-746 - Wen Ge, Emmanuel Agu:
CRUFT: Context Recognition under Uncertainty using Fusion and Temporal Learning. 747-752 - Ryuichi Ueno, Dragos Calitoiu:
Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTM. 753-758 - Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli:
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. 759-764 - Attilio Sbrana, André Luis Debiaso Rossi, Murilo Coelho Naldi:
N-BEATS-RNN: deep learning for time series forecasting. 765-768 - Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos:
Partly Supervised Multi-Task Learning. 769-774 - Lukas Kurasinski, Radu-Casian Mihailescu:
Towards Machine Learning Explainability in Text Classification for Fake News Detection. 775-781 - Dmitry Ivanov:
DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning. 782-790 - Ermal Toto, M. L. Tlachac, Francis Lee Stevens, Elke A. Rundensteiner:
Audio-based Depression Screening using Sliding Window Sub-clip Pooling. 791-796 - Karuna Nayak, Shailesh Krishna, Khanh Tran, Marissa Harris, Ana Maria Barrera, Kim Coble, Anagha Kulkarni:
Using Text Analytics on Reflective Journaling to Identify Cultural Capitals for STEM Students. 797-804 - Massimiliano Botticelli, Robin Hellmann, Paul Jochmann, Karl Georg Stapf, Erik Schünemann:
Application of Machine Learning to Gasoline Direct Injection Systems: Towards a Data-Driven Development. 805-810 - Sepideh Goodarzy, Maziyar Nazari, Richard Han, Eric Keller, Eric Rozner:
Resource Management in Cloud Computing Using Machine Learning: A Survey. 811-816 - Jesse Russell:
Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives. 817-820 - Ritu Joshi, Shan Suthaharan:
Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine Learning. 821-826 - Roberto Williams Batista, Reinaldo Sanchez-Arias:
A Methodology for Estimating Hospital Intensive Care Unit Length of Stay Using Novel Machine Learning Tools. 827-832 - Britt Richardson, Dean F. Hougen:
Districts by Demographics: Predicting U.S. House of Representative Elections using Machine Learning and Demographic Data. 833-838 - Linhai Ma, Liang Liang:
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length. 839-846 - Robert K. L. Kennedy, Taghi M. Khoshgoftaar:
Accelerated Deep Learning on HPCC Systems. 847-852 - Arun Chauhan, Shobhan Kumar, Lakshman Mahto, Jagadish D. N.:
Detection of Reckless Driving using Deep Learning. 853-858 - Kushagra Agarwal, Lalasa Dheekollu, Gaurav Dhama, Ankur Arora, Siddhartha Asthana, Tanmoy Bhowmik:
Deep Learning based Time Series Forecasting. 859-864 - Patrick Hemmer, Niklas Kühl, Jakob Schöffer:
DEAL: Deep Evidential Active Learning for Image Classification. 865-870 - M. G. Sarwar Murshed, James J. Carroll, Nazar Khan, Faraz Hussain:
Resource-aware On-device Deep Learning for Supermarket Hazard Detection. 871-876 - Miguel Solinas, Clovis Galiez, Romain Cohendet, Stephane Rousset, Marina Reyboz, Martial Mermillod:
Generalization of iterative sampling in autoencoders. 877-882 - SangKyun Jo, Duk Bin Jun, Sungho Park:
Estimating the Effect of General Health Checkup Using Uncertainty Aware Attention of Deep Instrument Variable 2-Stage Network. 883-888 - Abhijith Chakiat, Nishant Oli, Varun Kumar Modi:
Deduplication of Advertisement Assets Using Deep Learning Ensembles. 889-894 - Dagimawi D. Eneyew, Miriam A. M. Capretz, Girma T. Bitsuamlak, Syed Mir:
Predicting Residential Energy Consumption Using Wavelet Decomposition With Deep Neural Network. 895-900 - Sara Sartoli, Yong Wei, Shane Hampton:
Malware Classification using Recurrence Plots and Deep Neural Network. 901-906 - Chengcheng Li, Zi Wang, Hairong Qi:
An Efficient Pipeline for Pruning Convolutional Neural Networks. 907-912 - Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs:
Improving the Donor Journey with Convolutional and Recurrent Neural Networks. 913-920 - P Rajesh, Mansoor Alam, Mansour Tahernezhadi, C. Vikram, P. N. Phaneendra:
Real Time Data Science Decision Tree Approach to Approve Bank Loan from Lawyer's Perspective. 921-929 - Pranavi Satheesan, Prasanna S. Haddela, Jesuthasan Alosius:
Product Recommendation System for Supermarket. 930-935 - Raphaël Morsomme, Evgueni N. Smirnov:
Valid Prediction Intervals for Course Grades with Conformal Prediction. 936-941 - Chelsea Parlett-Pelleriti, Erik J. Linstead, Emily S. Sumner, Hoang Q. Nguyen, Ryan Stokes, Barbara W. Sarnecka, Susanne M. Jaeggi:
A Hierarchical Bayesian IRT Analysis of Children's Risk Propensity. 942-947 - Maria Villa, Mikhail I. Gofman, Sinjini Mitra, Ali Almadan, Anoop Krishnan, Ajita Rattani:
A Survey of Biometric and Machine Learning Methods for Tracking Students' Attention and Engagement. 948-955 - Hüseyin Seçkin Dikbayir, Halil-Ibrahim Bülbül:
Deep Learning Based Vehicle Detection From Aerial Images. 956-960 - Denise Dragos, Suzanna Schmeelk:
What are they Reporting? Examining Student Cybersecurity Course Surveys through the Lens of Machine Learning. 961-964 - K. M. Kavitha, Vaishnavi Naik, Sahana Angadi, Sandra Satish, Suman Nayak:
Hybrid Approaches for Augmentation of Translation Tables for Indian Languages. 965-970 - James Mou, Jun Li:
Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy. 971-978 - Guillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci:
SummaTRIZ : Summarization Networks for Mining Patent Contradiction. 979-986 - Ji Pei, Rim Hantach, Sarra Ben Abbès, Philippe Calvez:
Towards Hybrid Model for Automatic Text Summarization. 987-993 - Arda Akdemir, Tetsuo Shibuya, Tunga Güngör:
Subword Contextual Embeddings for Languages with Rich Morphology. 994-1001 - Stanislas Morbieu, Guillaume Bruneval, Mohamed Lacarne, Mohamed Kone, François-Xavier Bois:
Main Content Extraction from Web Pages. 1002-1005 - Ting Hu, Christoph Meinel:
An Investigation of Fine-tuning Pre-trained Model for MR-to-Text Generation. 1006-1009 - Nadira Boudjani, Yannis Haralambous, Inna Lyubareva:
Toxic Comment Classification For French Online Comments. 1010-1014 - Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan:
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. 1015-1022 - Anaïs Ollagnier, Hywel T. P. Williams:
Sequential Transfer Learning for Event Detection and Key Sentence Extraction. 1023-1027 - Anoop Krishnan, Ali Almadan, Ajita Rattani:
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups. 1028-1035 - Ali Almadan, Anoop Krishnan, Ajita Rattani:
BWCFace: Open-set Face Recognition using Body-worn Camera. 1036-1043 - Sarp Aykent, Gerry V. Dozier:
AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks. 1044-1050 - Tony Gwyn, Mustafa Atay, Kaushik Roy, Albert C. Esterline:
Evaluation of Local Binary Pattern Algorithm for User Authentication with Face Biometric. 1051-1058 - Gustavo Eloi de Paula Rodrigues, Alexandre Melo Braga, Ricardo Dahab:
Using Graph Embeddings and Machine Learning to Detect Cryptography Misuse in Source Code. 1059-1066 - Mahnoosh Bagheri, Majid Mohrekesh, Nader Karimi, Shadrokh Samavi, Shahram Shirani, Pejman Khadivi:
Image Watermarking with Region of Interest Determination Using Deep Neural Networks. 1067-1072 - Daniel Park, Hannah Powers, Benji Prashker, Leland Liu, Bülent Yener:
Towards Obfuscated Malware Detection for Low Powered IoT Devices. 1073-1080 - Yongyu Yang:
Chromatogram Alignment Algorithm Based on Deep Neural Network and an Application in Bio-aerosol Detection. 1081-1086 - Makoto Takamatsu, Makoto Hasegawa:
Architecture for accurate polyp segmentation in motion-blurred colonoscopy images. 1087-1093 - Chandresh Pravin, Varun Ojha:
A Novel ECG Signal Denoising Filter Selection Algorithm Based on Conventional Neural Networks. 1094-1100 - Hera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, Tanner Dean:
Al-based BMI Inference from Facial Images: An Application to Weight Monitoring. 1101-1105 - Robert LeMoyne, Timothy Mastroianni, Donald Whiting, Nestor D. Tomycz:
Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's disease. 1106-1111 - Weijun Tan, Jingfeng Liu:
Application of Face Recognition in Tracing COVID-19 Fever Patients and Close Contacts. 1112-1116 - Seyed Ali Madani Tonekaboni, Andrew E. Brereton, Zhaleh Safikhani, Andreas Windemuth, Benjamin Haibe-Kains, Stephen MacKinnon:
Learning across label confidence distributions using Filtered Transfer Learning. 1117-1123 - Budhaditya Saha, Vedant Mandloi, Shameek Ghosh:
Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase. 1124-1131 - Hossein Shahabadi Farahani, Alireza Fatehi, Mahdi Aliyari Shoorehdeli:
On The Application of Domain Adversarial Neural Network to Fault Detection and Isolation in Power Plants. 1132-1138 - Navid Khoshavi, Connor Broyles, Yu Bi, Arman Roohi:
Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator. 1139-1144 - Koceila Abid, Moamar Sayed Mouchaweh, Laurence Cornez:
Adaptive Data-driven Approach for the Remaining Useful Life Estimation when Few Historical Degradation Sequences are Available. 1145-1152 - Ahmed Imteaj, M. Hadi Amini:
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots. 1153-1160 - Javad Mohammadi, Jesse Thornburg:
Connecting Distributed Pockets of Energy Flexibility through Federated Computations: Limitations and Possibilities. 1161-1166 - Topon Kumar Paul, Ken Ueno:
Robust Incremental Logistic Regression for Detection of Anomaly Using Big Data. 1167-1173 - Weiren Kong, Deyun Zhou, Kai Zhang, Zhen Yang, Wansha Yang:
Multi-UCAV Air Combat in Short-Range Maneuver Strategy Generation using Reinforcement Learning and Curriculum Learning. 1174-1181 - Liping Yang, Alan M. MacEachren, Prasenjit Mitra:
Geographical feature classification from text using (active) convolutional neural networks. 1182-1198 - Edgar Avalos-Gauna, León Felipe Palafox-Novack, Dayanara Carrasco-Yépez:
Exploratory data analysis of the visitor's arrivals to Chichen-Itza's archaeological site, a case study. 1199-1204 - Liangdong Deng, Malek Adjouadi, Naphtali Rishe:
Geographic Boosting Tree: Modeling Non-Stationary Spatial Data. 1205-1210 - Debzani Deb, Russell M. Smith:
Use of Machine Learning in Exploring Spatial (In)Justices1. 1211-1217 - Elamin Abderrahim, Nada Matta, Hassan Atifi:
Know-Linking: An approach to generate shared knowledge between several actors in companies application in aerospace manufacturer. 1218-1223 - Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón:
An embedded deep learning system for augmented reality in firefighting applications. 1224-1230 - Lei Lin, Wencheng Wu, Zhongkai Shangguan, Safwan Wshah, Ramadan Elmoudi, Beilei Xu:
HPT-RL: Calibrating Power System Models based on Hierarchical Parameter Tuning and Reinforcement Learning. 1231-1237 - Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri:
Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve. 1238-1245 - Inès Jorge, Ahmed Samet, Tedjani Mesbahi, Romuald Boné:
New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles. 1246-1253 - Catherine McHugh, Sonya Coleman, Dermot Kerr:
Technical Indicators and Prediction for Energy Market Forecasting. 1254-1259 - P Rajesh, Mansoor Alam, Mansour Tahernezhadi, K. Vamshikrishna Reddy, K. Chandrakala:
A Real Time Stock tendency prognostication using Quantopian. 1260-1267 - Nathan Thiem, Marko Orescanin, James Bret Michael:
Reducing Artifacts in GAN Audio Synthesis. 1268-1275 - Adrienne Bergh, Paul Harnack, Abigail Atchison, Jordan Ott, Elia Eiroa-Lledo, Erik Linstead:
A Curated Set of Labeled Code Tutorial Images for Deep Learning. 1276-1280 - Nanda H. Krishna, Praveen Kumar R, Rishi Vardhan K, Vineeth Vijayaraghavan:
Defending Against Localized Adversarial Attacks on Edge-Deployed Monocular Depth Estimators. 1281-1288 - Adithya Prem Anand, Gokul H, Harish Srinivasan, Pranav Vijay, Vineeth Vijayaraghavan:
Adversarial Patch Defense for Optical Flow Networks in Video Action Recognition. 1289-1296 - Sai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi:
GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning. 1297-1303 - Yunzhe Xue, Meiyan Xie, Usman Roshan:
Towards adversarial robustness with 01 loss neural networks. 1304-1309 - Abdelweheb Gueddes, Mohamed Ali Mahjoub:
Enhancing ontology-based home Care Services platform using Bayesian networks. 1310-1316 - Hassen Dhrif, Verónica Bolón-Canedo, Stefan Wuchty:
Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization. 1317-1323 - Alexander M. Yuan, Shayok Chakraborty:
A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease. 1324-1331 - Sumit Mukherjee, Nicholas Becker, William B. Weeks, Juan Lavista Ferres:
Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut. 1332-1339 - Nidhi Mulay, Vikas Bishnoi, Himanshi Charotia, Siddhartha Asthana, Gaurav Dhama, Ankur Arora:
Pandemic spread prediction and healthcare preparedness through financial and mobility data. 1340-1347 - Marzieh Mousavian, Jianhua Chen, Steven G. Greening:
Depression Detection Using Atlas from fMRI Images. 1348-1353 - Vishal Sharma, Curtis E. Dyreson:
COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach. 1354-1361 - Sujata Sinha, Thomas S. Denney, Yang Zhou, Jingyi Zheng:
Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning. 1362-1368 - Prithvi Suresh, Naveen Narayanan, Chakilam Vijay Pranav, Vineeth Vijayaraghavan:
End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms. 1369-1375 - Meiyan Xie, Yunzhu Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan:
Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images. 1376-1381 - Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad:
ARC-Net: Activity Recognition Through Capsules. 1382-1388 - Carmela Comito, Deborah Falcone, Agostino Forestiero:
A Power-aware Approach for Smart Health Monitoring and Decision Support. 1389-1395 - Eugenio Vocaturo, Ester Zumpano:
Multiple Instance Learning approaches for Melanoma and Dysplastic Nevi images classification. 1396-1401 - Edward Verenich, Alvaro Velasquez, Nazar Khan, Faraz Hussain:
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia. 1402-1409 - Pedro Furtado:
Multi-class segmentation of Diabetic Retinopathy lesions: effects of metrics, improvements and loss. 1410-1417 - Raj Kirtibhai Patel, Praveen Meduri:
Car Detection Based Algorithm For Automatic Parking Space Detection. 1418-1423 - Markus Schmitz, Florian Pinsker, Alexander Ruhri, Beibei Jiang, Georgij Safronov:
Enabling Rewards for Reinforcement Learning in Laser Beam Welding processes through Deep Learning. 1424-1431 - Erion-Vasilis M. Pikoulis, Christos Mavrokefalidis, Aris S. Lalos:
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks. 1432-1439 - Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc Anh Le, Thanh-Hung Nguyen, Phi Le Nguyen:
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss. 1440-1445 - Xian Wang, Lingqiao Liu, Qinfeng Shi:
Enhancing Piano Transcription by Dilated Convolution. 1446-1453 - Muhammad Arsalan, Avik Santra, Vadim Issakov:
Radar Trajectory-based Air-Writing Recognition using Temporal Convolutional Network. 1454-1459 - Yunzhe Xue, Meiyan Xie, Usman Roshan:
On the transferability of adversarial examples between convex and 01 loss models. 1460-1467 - Brendan Reidy, Golareh Jalilvand, Tengfei Jiang, Ramtin Zand:
TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks. 1468-1474 - Fahimeh Farahnakian, Jukka Heikkonen:
A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object Detection. 1475-1482 - Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems. 1483-1490 - Farzad Kamrani, Andreas Elers, Mika Cohen, Amir Hossein Payberah:
MarioDAgger: A Time and Space Efficient Autonomous Driver. 1491-1498 - Mirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga:
Effective Big Data Caching through Reinforcement Learning. 1499-1504 - Asmaa Rassil, Hiba Chougrad, Hamid Zouaki:
The Importance of Local Labels Distribution and Dominance for Node Classification in Graph Neural Networks. 1505-1511 - Zheng Li, Xiaocong Du, Yu Cao:
DAT-RNN: Trajectory Prediction with Diverse Attention. 1512-1518 - Antonia Gogoglou, C. Bayan Bruss, Brian Nguyen, Reza Sarshogh, Keegan E. Hines:
Quantifying Challenges in the Application of Graph Representation Learning. 1519-1526 - Srikanth Chandar, Anish Reddy, Muvazima Mansoor, Suresh Jamadagni:
Road Accident Proneness Indicator Based On Time, Weather And Location Specificity Using Graph Neural Networks. 1527-1533 - Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev:
Graph Neural Networks for Model Recommendation using Time Series Data. 1534-1541
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