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cs.LG2025★ 2 cited
Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare
Natallia Kokash, Lei Wang, Thomas H. Gillespie +5
The rise of electronic health records (EHRs) has unlocked new opportunities for medical research, but privacy regulations and data heterogeneity remain key barriers to large-scale…
cs.LG2023
Using Decision Trees for Interpretable Supervised Clustering
Natallia Kokash, Leonid Makhnist
In this paper, we address an issue of finding explainable clusters of class-uniform data in labelled datasets. The issue falls into the domain of interpretable supervised clusterin…