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A. Bouayad

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Open access Oct 2026

Explainable AI in educational data mining: LightGBM and SHAP for enhancing learner performance prediction

Accurate prediction of learner performance is essential for adaptive educational systems and personalized learning. However, the integration of advanced gradient-boosting models with established educational frameworks remains underexplored, particularly when predictive performance and interpretability are considered jo...

Zakaria Alj, A. Bouayad · 0 citations
#federated learning Review Open access Sep 2026

A systematic review of AI powered adaptive smart home security using multimodal sensor fusion edge intelligence and privacy preserving architectures

Key findings reveal that current solutions remain fragmented across sensing, fusion, adaptation, and privacy dimensions, and that future research must prioritize unified frameworks jointly addressing multimodal fusion, continual adaptation, edge inference, privacy preservation, and explainability.

Z. Lazrak, A. Bouayad, Marwa Boumaiz · 0 citations
Conference Jul 2026

Teacher Promotion and Progressive Shrinking: a Framework for Iterative Distillation

Deep neural networks often achieve high accuracy, but their compute, memory, and power demands can hinder deployment on resource-constrained edge devices. This paper proposes an iterative, constraint-aware knowledge distillation framework that compresses a large model into a small one under an explicit model-size budge...

Mohamed Echchidmi, Anas Bouayad · 0 citations

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