3 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks
Chaiyong Ragkhitwetsagul, Veerakit Prasertpol, Natanon Ritta +3
At present, code recommendation tools have gained greater importance to many software developers in various areas of expertise. Having code recommendation tools has enabled better…
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…
Definition Modeling: Learning to define word embeddings in natural language
Thanapon Noraset, Chen Liang, Larry Birnbaum +1
Distributed representations of words have been shown to capture lexical semantics, as demonstrated by their effectiveness in word similarity and analogical relation tasks. But, the…