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