Author

Mohammed Benjelloun

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Open access Sep 2026

Imputation benchmarking in clinical databases: constraint enforcement for bounded neuropsychological assessments.

BACKGROUND Missing data compromise the secondary use of clinical databases, particularly when variables are bounded by clinically defined ranges or discrete scoring rules. Imputation methods may achieve acceptable reconstruction error while producing clinically invalid values. We evaluated a constraint-aware imputation...

Moad Hani, Saïd Mahmoudi, Mohammed Benjelloun et al. · International Journal of Med... · 0 citations

#graph neural networks Review Open access Sep 2026

Longitudinal Artificial Intelligence for Parkinson’s Disease: Modern Modelling, Feature Selection, and Imputation – A Technical Review and Clinical Roadmap

Parkinson’s disease (PD) research has been reshaped by large-scale multi-modal longitudinal datasets and advances in artificial intelligence (AI) and machine learning (ML). This review synthesises the current state of longitudinal modelling, feature selection, and missing-data imputation for PD, drawing on 154 studies...

Moad Hani, N. Betrouni, Saïd Mahmoudi et al. · AI Computer Science and Robo... · 0 citations

#machine learning Preprint Sep 2026

ZAPS: Zero-Cost Active Proxy Search for Neural Architecture Search

Neural Architecture Search (NAS) automates network design, but evaluating a single candidate requires training it to convergence, making exhaustive search intractable. Zero-cost proxies estimate architecture quality at initialization in seconds, yet a single proxy is noisy, and combining several does not straightforwar...

Hassan Touayouch, Rabie Najem, Mohammed Benjelloun · 0 citations