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Author

Wael Waheed Alqassas

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Open access Oct 2026

Meta-Learning for Dataset Selection: An Adaptive Utility Scoring Framework with Interpretable Meta-Feature Analysis

Dataset selection is commonly based on dataset size, prior experience, or computationally expensive trial-and-error evaluation. We treat that choice as a meta-learning problem instead. The Adaptive Dataset Utility Score (ADUS) ranks candidate datasets without training the downstream classifier portfolio on each candida...

Faisal al-Saqqar, Amjad H. Alkilan, Mohammad I. Nusir et al. · 0 citations

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