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Author

Ameen Shaheen

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Open access Sep 2026

A leakage-aware evaluation framework for reliable deep learning-based melanoma detection

A leakage-aware, reliability-centered evaluation framework for deep learning–based melanoma detection from dermoscopic images that better reflects realistic deployment conditions is developed and indicates that uncertainty-based selective prediction can substantially improve safety by restricting automated decisions to...

Ameen Shaheen, W. Alzyadat, A. Alhroob · 0 citations
Open access Aug 2026

LARO-IDS: Family-leakage-aware robust multi-objective optimization for model selection in IoT intrusion detection

This study proposes learned acquisition and reconstruction optimization (LARO)—IDS, a family-leakage-aware robust multi-objective optimization framework for model selection in Internet of Things intrusion detection that integrates family-leakage-aware robustness and latency-aware deployment cost rather than relying sol...

Ameen Shaheen, W. Alzyadat, A. Alhroob · 0 citations

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