2021 WORKSHOP
Date
Name
Tittle
August.18, 2021
Seungyeon Kang
Multi-layer Representation Learning for Medical Concepts
August.18, 2021
Seungyeon Kang
Multi-layer Representation Learning and Its Application to Electronic Health Records
August.18, 2021
Seungyeon Kang
Age-series based link prediction in evolving disease networks
August.18, 2021
Seungyeon Kang
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals
August.18, 2021
Dowoon Jang
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos
August.18, 2021
Dowoon Jang
Effective Music Emotion Recognition by Segment-based Progressive Learning
August.18, 2021
Dowoon Jang
Zero-shot Learing for Audio-based Music Classifcation and Tagging
August.18, 2021
Dowoon Jang
Multimodal Metric Learning for Tag-Based Music Retrieval
August.18, 2021
Minjoon Kim
Production scheduling optimization in foundry using hybrid Particle Swarm Optimization algorithm
August.18, 2021
Minjoon Kim
A heuristic model for dynamic flexible job shop scheduling problem considering variable processing times
August.18, 2021
Minjoon Kim
Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
August.18, 2021
Minjoon Kim
Reinforcement learning for an intelligent and autonomous production control of complex job‑shops under time constraints
February.25, 2021
Dowoon Jang
Personalized QoE Improvement for Networking Video Service
February.25, 2021
Dowoon Jang
Streaming Video QoE Modeling and Prediction: A Long Short-Term Memory Approach
February.25, 2021
Dowoon Jang
Convolutional Neural Networks for Continuous QoE Prediction in Video Streaming Services
February.25, 2021
Dowoon Jang
Supervised reinforcement learning with recurrent neural network for dynamic treatment recommendation
February.25, 2021
Seunghwa Baek
Similarity measure for patients via a Siamese CNN network
February.25, 2021
Seunghwa Baek
Multi-Label-Based Similarity Learning for Vehicle Re-Identification
February.25, 2021
Seunghwa Baek
Learning fine-grained patient similarity with dynamic bayesian network embedded rnns
February.25, 2021
Seunghwa Baek
Phenotyping with Prior Knowledge using Patient Similarity
February.25, 2021
Sangho Oh
Tools for the precision medicine era: how to develop highly personalized treatment recommendations from cohort and registry data using Q-learning
February.25, 2021
Sangho Oh
A reinforcement learning–based method for management of type 1 diabetes: exploratory study
February.25, 2021
Sangho Oh
Personalized multimorbidity management for patients with type 2 diabetes using reinforcement learning of electronic health records
February.25, 2021
Sangho Oh
Reinforcement learning application in diabetes blood glucose control: A systematic review
February.25, 2021
Seungyeon Kang
Predicting Timing of Surgical Intervention Using Recurrent Neural Network for Necrotizing Pancreatitis
February.25, 2021
Seungyeon Kang
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation
February.25, 2021
Seungyeon Kang
Long-term use of the hybrid artificial pancreas by adjusting carbohydrate ratios and programmed basal rate: A reinforcement learning approach
February.25, 2021
Seungyeon Kang
Diabetes detection using deep learning techniques with oversampling and feature augmentation
February.25, 2021
Minjoon Kim
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
February.25, 2021
Minjoon Kim
A survey of rate adaptation techniques for dynamic adaptive streaming over HTTP
February.25, 2021
Minjoon Kim
D-DASH: A Deep Q-Learning Framework for DASH Video Streaming
February.25, 2021
Minjoon Kim
DQ-DASH: A Queuing Theory Approach to Distributed Adaptive Video Streaming
January.28, 2021
Seungyeon Kang
Toward a Fully Automated Artificial Pancreas System Using a Bioinspired Reinforcement Learning Design: In Silico Validation
January.28, 2021
Seungyeon Kang
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
January.28, 2021
Seungyeon Kang
Forecasting the Risk of Type II Diabetes using Reinforcement Learning
January.28, 2021
Seungyeon Kang
Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units
January.28, 2021
Seunghwa Baek
Personalized Disease Prediction Using a CNN-Based Similarity Learning Method
January.28, 2021
Seunghwa Baek
Deep Patient Similarity Learning for Personalized Healthcare
January.28, 2021
Seunghwa Baek
Multi-layer Representation Learning for Medical Concepts
January.28, 2021
Seunghwa Baek
Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals
January.28, 2021
Minjoon Kim
Federated learning: Strategies for improving communication efficiency
January.28, 2021
Minjoon Kim
Federated machine learning: Concept and applications
January.28, 2021
Minjoon Kim
Federated learning: Challenges, methods, and future directions
January.28, 2021
Minjoon Kim
Federated learning of predictive models from federated electronic health records
January.28, 2021
Dowoon Jang
Nonlinear Principal Component Analysis Using Auto-associative Neural Networks
January.28, 2021
Dowoon Jang
Nonlinear Dimensionality Reduction by Locally Linear Embedding
January.28, 2021
Dowoon Jang
MD-Manifold: A Medical Distance Based Manifold Learning Approach for Heart Failure Readmission Prediction
January.28, 2021
Dowoon Jang
Think Locally, Act Globally: Federated Learning with Local and Global Representations
January.28, 2021
Sangho Oh
Treatment variation related to comorbidity and complications in type 2 diabetes: A real world analysis
January.28, 2021
Sangho Oh
Early combination versus initial metformin monotherapy in the management of newly diagnosed type 2 diabetes: An East Asian perspective
January.28, 2021
Sangho Oh
Analysis via Markov decision process to evaluate glycemic control strategies of a large retrospective cohort with type 2 diabetes: the ameliorate study
January.28, 2021
Sangho Oh
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks