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Belhassen Bayar

Observed names: B. Bayar, BELHASSEN BAYAR, Bayar Belhassen, Bayar, Belhassen
Observed institutions: University of Notre Dame, Amazon (United States), University of Dhaka, National Engineering School of Tunis, Rowan University, Drexel University
ORCID: 0000-0003-1382-2153
Observed ORCID: 0000-0003-1382-2153
OpenAlex ID: A5018651448
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer
2016 · Belhassen Bayar, Matthew C. Stamm · ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec) · 839
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection
2018 · Belhassen Bayar, Matthew C. Stamm · IEEE Transactions on Information Forensics and Security · 604
Design Principles of Convolutional Neural Networks for Multimedia Forensics
2017 · Belhassen Bayar, Matthew C. Stamm · Electronic Imaging · 113
On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection
2017 · Belhassen Bayar, Matthew C. Stamm · IEEE International Conference on Acoustics Speech and Signal Processing · 72
Towards Open Set Camera Model Identification Using a Deep Learning Framework
2018 · Belhassen Bayar, Matthew C. Stamm · IEEE International Conference on Acoustics Speech and Signal Processing · 56
Augmented convolutional feature maps for robust CNN-based camera model identification
2017 · Belhassen Bayar, Matthew C. Stamm · Proceedings - International Conference on Image Processing · 50
A Video Camera Model Identification System Using Deep Learning and Fusion
2019 · B. Hosler, O. Mayer, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 45
A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks
2017 · Belhassen Bayar, Matthew C. Stamm · ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec) · 40
Learning Unified Deep-Features for Multiple Forensic Tasks
2018 · Owen Mayer, Belhassen Bayar, et al. · ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec) · 37
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Probabilistic Non-negative Matrix Factorization: Theory and Application to Microarray Data Analysis
2013 · BELHASSEN BAYAR, NIDHAL BOUAYNAYA, et al. · Journal of Bioinformatics and Computational Biology · 28
SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation
2016 · Belhassen Bayar, Nidhal Bouaynaya, et al. · IEEE Journal of Biomedical and Health Informatics · 12
Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks
2018 · Belhassen Bayar, Matthew C. Stamm · Electronic Imaging · 10
Distantly Supervised Transformers For E-Commerce Product QA
2021 · Happy Mittal, Aniket Chakrabarti, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 6
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Kernel reconstruction: An exact greedy algorithm for compressive sensing
2014 · Belhassen Bayar, Nidhal Bouaynaya, et al. · IEEE Global Conference on Signal and Information Processing · 5
Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning
2025 · Zheyuan Liu, Suraj Maharjan, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning
2026 · Yue Zhou, Xiaobo Guo, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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Inference of genetic regulatory networks with unknown covariance structure
2013 · Belhassen Bayar, Nidhal Bouaynaya, et al. · IEEE International Workshop on Genomic Signal Processing and Statistics · 1
Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning
2026 · Association for Computational Linguistics 2026, Bayar, Belhassen, et al. · Underline Science Inc.
Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning
2026 · Zhou, Yue, Guo, Xiaobo, et al. · arXiv (Cornell University)
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LLM-based Weak Supervision Framework for Query Intent Classification in Video Search
2024 · Javadi, Farnoosh, Gampa, Phanideep, et al. · arXiv (Cornell University)
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Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations
2023 · Gampa, Phanideep, Javadi, Farnoosh, et al. · arXiv (Cornell University)
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Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations
2023 · Bayar, Belhassen, Gampa, Phanideep, et al. · arXiv (Cornell University)
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Deep learning techniques for multimedia forensics
2018 · Belhassen Bayar, Matthew C. Stamm
SMURC:共分散推定を用いた高次元小サンプル多変量回帰【Powered by NICT】
2017 · Bayar Belhassen, Bouaynaya Nidhal, et al. · IEEE Journal of Biomedical and Health Informatics
Optimization algorithms for inference and classification of genetic profiles from undersampled measurements
2014 · Belhassen Bayar · Rowan Digitals Works (Rowan University)
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Works count: 30
Citation count: 1,921
H-index: 11
I10-index: 12
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