research
∙
03/23/2023
Self-Supervised Clustering of Multivariate Time-Series Data for Identifying TBI Physiological States
Determining clinically relevant physiological states from multivariate t...
share
research
∙
02/27/2023
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping
Self-supervised learning approaches provide a promising direction for cl...
research
∙
01/31/2023
Execution-based Code Generation using Deep Reinforcement Learning
The utilization of programming language (PL) models, pretrained on large...
research
∙
11/11/2022
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values
Unpacking and comprehending how deep learning algorithms make decisions ...
research
∙
08/13/2022
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury
A longstanding challenge surrounding deep learning algorithms is unpacki...
research
∙
06/16/2022
XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
Recent advances in machine learning have significantly improved the unde...
research
∙
06/10/2022
StructCoder: Structure-Aware Transformer for Code Generation
There has been a recent surge of interest in automating software enginee...
research
∙
07/29/2021