Clustering gene expression data using probabilistic non-negative matrix factorization. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (GENSiPS, 2011)

Inference of genetic regulatory networks with unknown covariance structure. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (GENSiPS, 2013)

Kernel reconstruction: An exact greedy algorithm for compressive sensing. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (GlobalSIP, 2014)

Probabilistic Non-Negative Matrix Factorization: Theory and Application to microarray Data Analysis. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (J. Bioinform. Comput. Biol., 2014)

A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer. - Belhassen Bayar; Matthew C. Stamm (IH&MMSec, 2016)

On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection. - Belhassen Bayar; Matthew C. Stamm (ICASSP, 2017)

Augmented convolutional feature maps for robust CNN-based camera model identification. - Belhassen Bayar; Matthew C. Stamm (ICIP, 2017)

A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks. - Belhassen Bayar; Matthew C. Stamm (IH&MMSec, 2017)

Design Principles of Convolutional Neural Networks for Multimedia Forensics. - Belhassen Bayar; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2017)

SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation. - Belhassen Bayar; Nidhal Bouaynaya; Roman Shterenberg (IEEE J. Biomed. Health Informatics, 2017)

Towards Open Set Camera Model Identification Using a Deep Learning Framework. - Belhassen Bayar; Matthew C. Stamm (ICASSP, 2018)

Learning Unified Deep-Features for Multiple Forensic Tasks. - Owen Mayer; Belhassen Bayar; Matthew C. Stamm (IH&MMSec, 2018)

Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks. - Belhassen Bayar; Matthew C. Stamm (Media Watermarking, Security, and Forensics, 2018)

Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection. - Belhassen Bayar; Matthew C. Stamm (IEEE Trans. Inf. Forensics Secur., 2018)

A Video Camera Model Identification System Using Deep Learning and Fusion. - Brian C. Hosler; Owen Mayer; Belhassen Bayar; Xinwei Zhao; Chen Chen 059; James A. Shackleford; Matthew Christopher Stamm (ICASSP, 2019)

Distantly Supervised Transformers For E-Commerce Product QA. - Happy Mittal; Aniket Chakrabarti; Belhassen Bayar; Animesh Anant Sharma; Nikhil Rasiwasia (NAACL-HLT, 2021)

Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations. - Belhassen Bayar; Phanideep Gampa; Ainur Yessenalina; Zhen Wen (CoRR, 2023)

Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations. - Phanideep Gampa; Farnoosh Javadi; Belhassen Bayar; Ainur Yessenalina (CoRR, 2023)

LLM-based Weak Supervision Framework for Query Intent Classification in Video Search. - Farnoosh Javadi; Phanideep Gampa; Alyssa Woo; Xingxing Geng; Hang Zhang; Jose Sepulveda; Belhassen Bayar; Fei Wang (CoRR, 2024)

Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning. - Zheyuan Liu 010; Suraj Maharjan; Fanyou Wu; Rahil Parikh; Belhassen Bayar; Srinivasan H. Sengamedu; Meng Jiang 001 (ACL (1), 2025)