7 papers
Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
Ali Saleh, Abdul Karim Gizzini, Mohamad Ghassany +1
Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many concerns arise regarding the decision-making process of its models…
Low-Complexity Sensing-Aware PAPR Reduction for AFDM-based ISAC Systems
Eya Gourar, Abdul Karim Gizzini, Yahia Medjahdi +2
Integrated sensing and communication (ISAC) has emerged as a key technology for future wireless networks by enabling communication and environmental sensing through a common wavefo…
X-REFINE: XAI-based RElevance input-Filtering and archItecture fiNe-tuning for channel Estimation
Abdul Karim Gizzini, Yahia Medjahdi
AI-native architectures are vital for 6G wireless communications. The black-box nature and high complexity of deep learning models employed in critical applications, such as channe…
On the Ambiguity Function of OFDM-based ISAC Signals Under Non-Ideal Power Amplifiers
Eya Gourar, Yahia Medjahdi, Laurent Clavier +2
Integrated Sensing and Communications (ISAC) has garnered significant attention as a promising technology for next-generation wireless and vehicular communications. Among candidate…
Explainable Deep Learning for Secrecy Energy-Efficiency Maximization in Ambient Backscatter Multi-User NOMA Systems
Miled Alam, Abdul Karim Gizzini, Laurent Clavier
In this paper, we investigate the secrecy energy-efficiency (SEE) of a multi-user downlink non-orthogonal multiple access (NOMA) system assisted by multiple ambient backscatter com…
A Quantitative Evaluation Framework for Explainable AI in Semantic Segmentation
Reem Hammoud, Abdul Karim Gizzini, Ali J. Ghandour
Ensuring transparency and trust in artificial intelligence (AI) models is essential as they are increasingly deployed in safety-critical and high-stakes domains. Explainable AI (XA…