38 citations · 56 across the 5 of their papers we have counts for
5 papers
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals
Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi
Heart failure is a debilitating condition that affects millions of people worldwide and has a significant impact on their quality of life and mortality rates. An objective assessme…
End-to-End Learnable Multi-Scale Feature Compression for VCM
Yeongwoong Kim, Hyewon Jeong, Janghyun Yu +4
The proliferation of deep learning-based machine vision applications has given rise to a new type of compression, so called video coding for machine (VCM). VCM differs from traditi…
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Kwanhyung Lee, Hyewon Jeong, Seyun Kim +3
Electroencephalogram (EEG) is an important diagnostic test that physicians use to record brain activity and detect seizures by monitoring the signals. There have been several attem…
Cost-effective Interactive Attention Learning with Neural Attention Processes
Jay Heo, Junhyeon Park, Hyewon Jeong +4
We propose a novel interactive learning framework which we refer to as Interactive Attention Learning (IAL), in which the human supervisors interactively manipulate the allocated a…
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
A. Tuan Nguyen, Hyewon Jeong, Eunho Yang +1
Although recent multi-task learning methods have shown to be effective in improving the generalization of deep neural networks, they should be used with caution for safety-critical…