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Kia Kazemi-Nia

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#machine learning Preprint Aug 2026

Advancing Interaction-Sensitive Feature Selection: Novel Relief-Based Algorithms, Expanded Comparisons, and Recommendations for Biomedical Data Mining

The newly introduced RBAs were among the strongest performing, and by robustly retaining both main effects and 2-way epistatic interactions, these algorithms preserve predictive signals for downstream modeling.

Kia Kazemi-Nia, H. Bandhey, P. Freda et al. · 0 citations