27 citations · 59 across the 7 of their papers we have counts for
9 papers
Hierarchical Graph Neural Network for Compressed Speech Steganalysis
Mustapha Hemis, Hamza Kheddar, Mohamed Chahine Ghanem +1
Steganalysis methods based on deep learning (DL) often struggle with computational complexity and challenges in generalizing across different datasets. Incorporating a graph neural…
Multilinear subspace learning for person re-identification based fusion of high order tensor features
Ammar Chouchane, Mohcene Bessaoudi, Hamza Kheddar +3
Video surveillance image analysis and processing is a challenging field in computer vision, with one of its most difficult tasks being Person Re-Identification (PRe-ID). PRe-ID aim…
Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments
Noussaiba Djeffal, Djamel Addou, Hamza Kheddar +1
Addressing the detrimental impact of non-stationary environmental noise on automatic speech recognition (ASR) has been a persistent and significant research focus. Despite advancem…
Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention
Billel Essaid, Hamza Kheddar, Noureddine Batel
Cochlear implants (CIs) play a vital role in restoring hearing for individuals with severe to profound sensorineural hearing loss by directly stimulating the auditory nerve with el…
Improving Pretrained YAMNet for Enhanced Speech Command Detection via Transfer Learning
Sidahmed Lachenani, Hamza Kheddar, Mohamed Ouldzmirli
This work addresses the need for enhanced accuracy and efficiency in speech command recognition systems, a critical component for improving user interaction in various smart applic…
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Yassine Habchi, Hamza Kheddar, Yassine Himeur +4
The rapid advancement of deep learning (DL) has transformed healthcare, particularly in cancer detection and diagnosis. DL surpasses traditional machine learning and human accuracy…