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cs.LG2026
Contrastive Representation-Guided Genetic Minority Oversampling for Imbalanced Time-Series Classification
Wenbin Pei, Yunrong Hao, Zhen Liu +4
Real-world time-series classification tasks often exhibit class imbalance, which can be extremely severe in some applications. To avoid training biased classifiers on imbalanced da…
cs.LG2026★ 26 cited
Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
Yiqun Zhang, Mingjie Zhao, Yizhou Chen +2
Datasets composed of numerical and categorical attributes (also called mixed data hereinafter) are common in real clustering tasks. Differing from numerical attributes that indicat…