Ha Young Kim

发表

MTBAN: An Enhanced Variant Effect Predictor Based on a Deep Generative Model

Dongsup Kim, Woosung Jeon, Ha Young Kim, 2021 .

Deep-learning-based automated terminology mapping in OMOP-CDM

Hye Jin Kam, Byungkon Kang, Jisang Yoon, 2021, J. Am. Medical Informatics Assoc..

FARS2 mutation and epilepsy: Possible link with early-onset epileptic encephalopathy

Ha Young Kim, Dongsup Kim, Jong-il Kim, 2017, Epilepsy Research.

ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module

Ha Young Kim, Yujin Baek, Ha Young Kim, 2018, Expert Syst. Appl..

Automatic Classification of Thyroid Findings Using Static and Contextualized Ensemble Natural Language Processing Systems: Development Study

Ha Young Kim, H. Kam, Dongyup Shin, 2021, JMIR medical informatics.

Automatic Classification of Thyroid Findings Using Static and Contextualized Ensemble Natural Language Processing Systems: Development Study

Ha Young Kim, Minji Jeon, H. Kam, 2021, JMIR medical informatics.

Learning representations for the early detection of sepsis with deep neural networks

Hye Jin Kam, Ha Young Kim, Ha Young Kim, 2017, Comput. Biol. Medicine.

Optimizing the Pairs-Trading Strategy Using Deep Reinforcement Learning with Trading and Stop-Loss Boundaries

Taewook Kim, Ha Young Kim, Ha Young Kim, 2019, Complex..

Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data

Ha Young Kim, Taewook Kim, Ha Young Kim, 2019, PloS one.

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

Ha Young Kim, Chang Hyun Won, Ha Young Kim, 2018, Expert Syst. Appl..

Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning

Ha Young Kim, Gyeeun Jeong, Ha Young Kim, 2019, Expert Syst. Appl..

Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation

Ha Young Kim, Si Woon Lee, Ha Young Kim, 2020, Expert Syst. Appl..

Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework

Ha Young Kim, Youngjun Kim, Hyunsuk Park, 2021, Appl. Soft Comput..

Early Forecasting of Rice Blast Disease Using Long Short-Term Memory Recurrent Neural Networks

Ha Young Kim, Yangseon Kim, J. Roh, 2017 .

Action-specialized expert ensemble trading system with extended discrete action space using deep reinforcement learning

Ha Young Kim, JoonBum Leem, Ha Young Kim, 2020, PloS one.

An enhanced variant effect predictor based on a deep generative model and the Born-Again Networks

Ha Young Kim, Dongsup Kim, Woosung Jeon, 2021, Scientific Reports.

Prediction of mutation effects using a deep temporal convolutional network

Ha Young Kim, Dongsup Kim, Ha Young Kim, 2019, Bioinform..