Belhassen Bayar

According to our database, Belhassen Bayar authored at least 18 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations.

Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina

CoRR, 2023

Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations.

Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen

CoRR, 2023

2021

Distantly Supervised Transformers For E-Commerce Product QA.

Happy Mittal, Aniket Chakrabarti, Belhassen Bayar, Animesh Anant Sharma, Nikhil Rasiwasia

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2019

A Video Camera Model Identification System Using Deep Learning and Fusion.

Brian C. Hosler, Owen Mayer, Belhassen Bayar, Xinwei Zhao, Chen Chen, James A. Shackleford, Matthew Christopher Stamm

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Towards Order of Processing Operations Detection in JPEG-compressed Images with Convolutional Neural Networks.

Belhassen Bayar, Matthew C. Stamm

Proceedings of the Media Watermarking, Security, and Forensics 2018, Burlingame, CA, USA, 28 January 2018, 2018

Learning Unified Deep-Features for Multiple Forensic Tasks.

Owen Mayer, Belhassen Bayar, Matthew C. Stamm

Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, 2018

Towards Open Set Camera Model Identification Using a Deep Learning Framework.

Belhassen Bayar, Matthew C. Stamm

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

IEEE J. Biomed. Health Informatics, 2017

Design Principles of Convolutional Neural Networks for Multimedia Forensics.

Belhassen Bayar, Matthew C. Stamm

Proceedings of the Media Watermarking, Security, and Forensics 2017, Burlingame, CA, USA, 29 January 2017, 2017

A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks.

Belhassen Bayar, Matthew C. Stamm

Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security, 2017

Augmented convolutional feature maps for robust CNN-based camera model identification.

Belhassen Bayar, Matthew C. Stamm

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection.

Belhassen Bayar, Matthew C. Stamm

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer.

Belhassen Bayar, Matthew C. Stamm

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security, 2016

2014

Probabilistic Non-Negative Matrix Factorization: Theory and Application to microarray Data Analysis.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

J. Bioinform. Comput. Biol., 2014

Kernel reconstruction: An exact greedy algorithm for compressive sensing.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Inference of genetic regulatory networks with unknown covariance structure.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

2011

Clustering gene expression data using probabilistic non-negative matrix factorization.

Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg

Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011