Author

S. Alsaif

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Open access 2026

Systematic Hyperparameter Optimization of Machine Learning Classifiers for Imbalanced Classification: An Empirical Study With Grid Search Cross-Validation

Optimization of hyperparameters is still an important but relatively ignored stage of machine learning pipelines, and imbalanced classification brings forth three key problems that inspire our investigation into the subject: 1) hyperparameter settings used by default in a library are not tailored for imbalanced labelin...

Adel Hidri, S. Alsaif, Muteeb Alahmari et al. · IEEE Access · 0 citations

Open access Oct 2026

A systematic benchmarking pipeline for demand forecasting and inventory-aware supply chain decision support

Demand forecasting has been shown to be one of the key facilitators of successful supply chain and inventory management. In this work, we introduce a benchmarking pipeline for demand forecasting in retail that includes data preprocessing, comparative benchmarking of different machine learning/deep learning (ML/DL) appr...

S. Alsaif · Frontiers in Artificial Inte... · 0 citations