Author

F. Maghraby

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Open access Oct 2026

Assessing the impact of layer selection on CAM-based explainability for YOLOv8: a study on hand-sketched digital logic circuits

Class activation mapping (CAM) techniques improve the interpretability of deep neural networks by highlighting image regions that contribute to model predictions. However, the quality of CAM explanations can vary considerably according to the selected target layer. This study presents a layer-wise ablation analysis of...

Noha Elmasry, F. Maghraby, M. Fakhr · Scientific Reports · 0 citations

Open access Jul 2026

Separate XAI: Independent Training Framework for Cancer Drug Sensitivity Prediction Using GDSC and CCLE with Explainable AI-Driven Drug Repositioning

The distinct XAI presented here offers an interpretable, biologically grounded framework for cancer drug repositioning by integrating dataset-specific modeling and explainable artificial intelligence.

Heba M. Nagy, F. Maghraby, Osama M. Badawy et al. · BioMedInformatics · 0 citations