3 papers
cs.LG2026
xMICD: Explainable Representation of Multiple ICD Codes
Pat Vatiwutipong, Kumkup Keeratisiwakul, Albert Phuoc Kien Van Truong +4
Electronic Health Records (EHRs) are widely used for clinical risk prediction using machine learning. International Classification of Diseases (ICD) codes provide structured inform…
cs.LG2025
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
Phaphontee Yamchote, Saw Nay Htet Win, Chainarong Amornbunchornvej +1
Feature interaction is crucial in predictive machine learning models, as it captures the relationships between features that influence model performance. In this work, we focus on…
cs.CL2019
Multi-sense Definition Modeling using Word Sense Decompositions
Ruimin Zhu, Thanapon Noraset, Alisa Liu +2
Word embeddings capture syntactic and semantic information about words. Definition modeling aims to make the semantic content in each embedding explicit, by outputting a natural la…