4 citations · 13 across the 15 of their papers we have counts for
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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…
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…
Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation
Abdul Karim Gizzini, Mustafa Shukor, Ali J. Ghandour
Current AI-based methods do not provide comprehensible physical interpretations of the utilized data, extracted features, and predictions/inference operations. As a result, deep le…
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation
Hossein Shreim, Abdul Karim Gizzini, Ali J. Ghandour
eXplainable Artificial Intelligence (XAI) has emerged as an essential requirement when dealing with mission-critical applications, ensuring transparency and interpretability of the…