Belhassen Bayar

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 15

Top Topics

Convolutional Neural Networks

Microarray Data Analysis

Image Manipulation

Negative Matrix Factorization

Top Venues

Media Watermarking, Security, and Forensics

Publications

Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations. CoRR (2023)
Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations. CoRR (2023)
Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia
Distantly Supervised Transformers For E-Commerce Product QA. NAACL-HLT (2021)
Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia
Distantly Supervised Transformers For E-Commerce Product QA. CoRR (2021)
Brian C. Hosler, Owen Mayer, Belhassen Bayar, Xinwei Zhao, Chen Chen, James A. Shackleford, Matthew Christopher Stamm
A Video Camera Model Identification System Using Deep Learning and Fusion. ICASSP (2019)
Belhassen Bayar, Matthew C. Stamm
Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks. Media Watermarking, Security, and Forensics (2018)
Belhassen Bayar, Matthew C. Stamm
Towards Open Set Camera Model Identification Using a Deep Learning Framework. ICASSP (2018)
Belhassen Bayar, Matthew C. Stamm
Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection. IEEE Trans. Inf. Forensics Secur. 13 (11) (2018)
Owen Mayer, Belhassen Bayar, Matthew C. Stamm
Learning Unified Deep-Features for Multiple Forensic Tasks. IH&MMSec (2018)
Belhassen Bayar, Matthew C. Stamm
On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection. ICASSP (2017)
Belhassen Bayar, Matthew C. Stamm
Augmented convolutional feature maps for robust CNN-based camera model identification. ICIP (2017)
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation. IEEE J. Biomed. Health Informatics 21 (2) (2017)
Belhassen Bayar, Matthew C. Stamm
Design Principles of Convolutional Neural Networks for Multimedia Forensics. Media Watermarking, Security, and Forensics (2017)
Belhassen Bayar, Matthew C. Stamm
A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks. IH&MMSec (2017)
Belhassen Bayar, Matthew C. Stamm
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer. IH&MMSec (2016)
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
Probabilistic Non-Negative Matrix Factorization: Theory and Application to microarray Data Analysis. J. Bioinform. Comput. Biol. 12 (1) (2014)
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
Kernel reconstruction: An exact greedy algorithm for compressive sensing. GlobalSIP (2014)
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
Inference of genetic regulatory networks with unknown covariance structure. GENSiPS (2013)
Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg
Clustering gene expression data using probabilistic non-negative matrix factorization. GENSiPS (2011)