Bonggun Shin
Bonggun Shin
Neuralsquid Systems
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Cited by
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Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model
BR Beck, B Shin, Y Choi, S Park, K Kang
Computational and structural biotechnology journal 18, 784-790, 2020
Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction
B Shin, S Park, K Kang, JC Ho
Machine Learning for Healthcare (MLHC), 2019
Lexicon integrated cnn models with attention for sentiment analysis
B Shin, T Lee, JD Choi
EMNLP Workshop on Computational Approaches to Subjectivity, Sentiment and …, 2017
Classification of radiology reports using neural attention models
B Shin, FH Chokshi, T Lee, JD Choi
2017 international joint conference on neural networks (IJCNN), 4363-4370, 2017
Target-centered drug repurposing predictions of human angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine subtype 2 (TMPRSS2) interacting approved drugs …
Y Choi, B Shin, K Kang, S Park, BR Beck
Viruses 12 (11), 1325, 2020
Fast and robust template matching algorithm in noisy image
BG Shin, SY Park, JJ Lee
2007 International Conference on Control, Automation and Systems, 6-9, 2007
Non-invasive brain signal interface for a wheelchair navigation
BG Shin, T Kim, S Jo
ICCAS 2010, 2257-2260, 2010
Improving evidential deep learning via multi-task learning
D Oh, B Shin
AAAI 2022, 2022
SMAT: An attention-based deep learning solution to the automation of schema matching
J Zhang, B Shin, JD Choi, JC Ho
ADBIS 2021, 2021
Controlled molecule generator for optimizing multiple chemical properties
B Shin, S Park, JY Bak, JC Ho
CHIL 2021, 2021
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning
Y Kim, B Shin
KDD 2022, 2022
Wx: a neural network-based feature selection algorithm for transcriptomic data
S Park, B Shin, W Sang Shim, Y Choi, K Kang, K Kang
Scientific reports 9 (1), 10500, 2019
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning
B Shin, H Yang, JD Choi
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Bayesian group nonnegative matrix factorization for eeg analysis
B Shin, A Oh
arXiv preprint arXiv:1212.4347, 2012
Cascaded Wx: A novel prognosis-related feature selection framework in human lung adenocarcinoma transcriptomes
B Shin, S Park, JH Hong, HJ An, SH Chun, K Kang, YH Ahn, YH Ko, ...
Frontiers in genetics 10, 662, 2019
Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission
B Shin, J Hogan, AB Adams, RJ Lynch, RE Patzer, JD Choi
IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2019
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention
Y Kim, B Shin
MLHC 2021, 2021
Natural language processing for classification of acute, communicable findings on unstructured head CT reports: comparison of neural network and non-neural machine learning …
FH Chokshi, B Shin, T Lee, A Lemmon, S Necessary, JD Choi
bioRxiv, 173310, 2017
Improving group robustness under noisy labels using predictive uncertainty
D Oh, D Lee, J Byun, B Shin
arXiv preprint arXiv:2212.07026, 2022
Molecular optimization of phase III trial failed anticancer drugs using target affinity and toxicity-centered multiple properties reinforcement learning
S Park, YH Ko, B Lee, B Shin, BR Beck
Clinical cancer research 26 (12_Supplement_1), 35-35, 2020
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