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Mahdi Jemmali

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Open access 2026

Deployment-Oriented Evaluation of LLM-Generated Optimization Code: Repairability, Compatibility, and Constraint-Coverage in Parallel-Machine Scheduling

Large language models (LLMs) increasingly generate executable optimization code, yet evaluations often rank programs by objective value, overlooking deployment-relevant properties such as validity under structural constraint changes, failure localization, repairability, and component compatibility. We introduce GenSE-S...

Achraf Ghorbel, Nourchène Elleuch Ben Ayed, Keletso J. Letsholo et al. · 0 citations
Review Open access Jul 2026

Advancing multi-class classification: innovations, challenges, and ethical perspectives in machine learning

This review examines recent advances and persistent challenges in multi-class classification within machine learning (ML) and deep learning (DL) and identifies key future directions, including semi-supervised and transfer learning, few-shot and federated multi-class systems, robustness under label noise, energy-efficie...

Y. Qawqzeh, Abdullah Alourani, Fayez Alharbi et al. · 0 citations

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