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cs.LG2026
Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data
Pulock Das, Yina Hou, Md. Kamrozzaman Bhuiyan +1
Data imbalance poses a major challenge in supervised classification, where the majority-class bias contributes to false negatives and overestimates classification accuracy. Unsuper…
cs.LG2026
Mining Electronic Health Records to Investigate Effectiveness of Ensemble Deep Clustering
Manar D. Samad, Yina Hou, Shrabani Ghosh
In electronic health records (EHRs), clustering patients and distinguishing disease subtypes are key tasks to elucidate pathophysiology and aid clinical decision-making. However, c…
cs.LG2025
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework
Ibna Kowsar, Shourav B. Rabbani, Yina Hou +1
Missing values of varying patterns and rates in real-world tabular data pose a significant challenge in developing reliable data-driven models. The most commonly used statistical a…