ملف الباحث
Amparo Alonso‐Betanzos
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Interpretable Market Segmentation on High Dimension Data
2018
Obtaining relevant information from the vast amount of data generated by interactions in a market or, in general, from a dyadic dataset, is a broad problem of great interest both for industry and academia. Also, …
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Enhancing Classification Performance on Imbalanced Datasets Through Complexity‐Guided Oversampling With <scp>SMOTE</scp>
2026 · Expert Systems
ABSTRACT Improving classification performance on imbalanced datasets remains a challenging problem in machine learning. Synthetic oversampling techniques such as SMOTE are widely used to address class imbalance; however, their random interpolation strategy often ignores structural …