Belhassen Bayar

23 papers B 1C 3Misc 3Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning.
EACL (Volume 1: Long Papers)
Yue Zhou, Xiaobo Guo, Belhassen Bayar, Srinivasan H. Sengamedu
2026 J jnl
Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning.
CoRR
Yue Zhou, Xiaobo Guo, Belhassen Bayar, Srinivasan H. Sengamedu
2025 — conf
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning.
ACL (1)
Zheyuan Liu, Suraj Maharjan, Fanyou Wu, Rahil Parikh, Belhassen Bayar, Srinivasan H. Sengamedu, Meng Jiang
2024 J jnl
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search.
CoRR
Farnoosh Javadi, Phanideep Gampa, Alyssa Woo, Xingxing Geng, Hang Zhang, Jose Sepulveda, Belhassen Bayar, Fei Wang
2023 J jnl
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations.
CoRR
Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen
2023 J jnl
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations.
CoRR
Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina
2021 — conf
Distantly Supervised Transformers For E-Commerce Product QA.
NAACL-HLT
Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia
2021 J jnl
Distantly Supervised Transformers For E-Commerce Product QA.
CoRR
Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia
2019 Misc conf
A Video Camera Model Identification System Using Deep Learning and Fusion.
ICASSP
Brian C. Hosler, Owen Mayer, Belhassen Bayar, Xinwei Zhao, Chen Chen, James A. Shackleford, Matthew Christopher Stamm
2018 J jnl
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection.
IEEE Trans. Inf. Forensics Secur.
Belhassen Bayar, Matthew C. Stamm
2018 C conf
Learning Unified Deep-Features for Multiple Forensic Tasks.
IH&MMSec
Owen Mayer, Belhassen Bayar, Matthew C. Stamm
2018 Misc conf
Towards Open Set Camera Model Identification Using a Deep Learning Framework.
ICASSP
Belhassen Bayar, Matthew C. Stamm
2018 — conf
Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks.
Media Watermarking, Security, and Forensics
Belhassen Bayar, Matthew C. Stamm
2017 C conf
A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks.
IH&MMSec
Belhassen Bayar, Matthew C. Stamm
2017 B conf
Augmented convolutional feature maps for robust CNN-based camera model identification.
ICIP
Belhassen Bayar, Matthew C. Stamm
2017 — conf
Design Principles of Convolutional Neural Networks for Multimedia Forensics.
Media Watermarking, Security, and Forensics
Belhassen Bayar, Matthew C. Stamm
2017 Misc conf
On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection.
ICASSP
Belhassen Bayar, Matthew C. Stamm
2017 J jnl
SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation.
IEEE J. Biomed. Health Informatics
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2016 C conf
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer.
IH&MMSec
Belhassen Bayar, Matthew C. Stamm
2014 — conf
Kernel reconstruction: An exact greedy algorithm for compressive sensing.
GlobalSIP
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2014 J jnl
Probabilistic Non-Negative Matrix Factorization: Theory and Application to microarray Data Analysis.
J. Bioinform. Comput. Biol.
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2013 — conf
Inference of genetic regulatory networks with unknown covariance structure.
GENSiPS
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
2011 — conf
Clustering gene expression data using probabilistic non-negative matrix factorization.
GENSiPS
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg