194 citations · 950 across the 33 of their papers we have counts for
5 papers · 1 filter
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
Yassine Habchi, Yassine Himeur, Hamza Kheddar +5
There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable dis…
Federated Learning for Computer Vision
Yassine Himeur, Iraklis Varlamis, Hamza Kheddar +5
Computer Vision (CV) is playing a significant role in transforming society by utilizing machine learning (ML) tools for a wide range of tasks. However, the need for large-scale dat…
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions
Hamza Kheddar, Mustapha Hemis, Yassine Himeur +2
Steganography and steganalysis are two interrelated aspects of the field of information security. Steganography seeks to conceal communications, whereas steganalysis is aimed to ei…
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Hamza Kheddar, Yassine Himeur, Somaya Al-Maadeed +2
Automatic speech recognition (ASR) has recently become an important challenge when using deep learning (DL). It requires large-scale training datasets and high computational and st…
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
Hamza Kheddar, Yassine Himeur, Ali Ismail Awad
Globally, the external internet is increasingly being connected to industrial control systems. As a result, there is an immediate need to protect these networks from a variety of t…