Structured filter pruning is an effective approach for reducing the computational cost of deep neural networks while preserving efficient deployment on standard hardware. However, most existing pruning methods evaluate filters independently, overlooking the inter-layer spectral coupling between consecutive layers, whil...
Soumia Laroui, H. Seba, K. Amrouche et al.· Jordanian Journal of Compute...· 0 citations
Reliable and up-to-date information on crop distribution is essential for ensuring food security in the face of rapid population growth and climate change, and with recent advancements in remote sensing and artificial intelligence, large-scale analyses of agricultural landscapes can now be performed more quickly and ac...
Yacine Ait Ali Yahia, K. Amrouche, Abir Safta· INGENIERÍA INVESTIGA· 0 citations
Anomaly detection in dynamic graphs underpins financial fraud analysis, intrusion detection, and platform integrity, where automated decisions require human-interpretable justifications. StrGNN, the strongest performer in recent benchmarks, produces no explanation: when an edge is flagged, the analyst receives only a s...
Iyad Assaad Nekka, H. Seba, Walid Khaled Hidouci et al.· 0 citations
X-AddGraph is presented, a strictly post-hoc explainability framework built on a Dual Spatial-Temporal Attribution (DSTA) mechanism whose three components are each aligned with one of AddGraph's architectural modules: a gradient-based relevance attribution over the current adjacency structure (spatial), a direct readin...
Iyad Assaad Nekka, H. Seba, Khaled Walid Hidouci et al.· 0 citations
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