| 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 | 843 | 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 | 161 | 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 | 144 | 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 | 58 | 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 | 37 | 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 | 33 | 2007 |
| Non-invasive brain signal interface for a wheelchair navigation BG Shin, T Kim, S Jo ICCAS 2010, 2257-2260, 2010 | 27 | 2010 |
| Improving evidential deep learning via multi-task learning D Oh, B Shin AAAI 2022, 2022 | 23 | 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 | 22 | 2021 |
| Controlled molecule generator for optimizing multiple chemical properties B Shin, S Park, JY Bak, JC Ho CHIL 2021, 2021 | 21 | 2021 |
| 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 | 17* | 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 | 17 | 2019 |
| In Defense of Core-set: A Density-aware Core-set Selection for Active Learning Y Kim, B Shin KDD 2022, 2022 | 16 | 2022 |
| 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 | 12 | 2019 |
| Bayesian group nonnegative matrix factorization for eeg analysis B Shin, A Oh arXiv preprint arXiv:1212.4347, 2012 | 12 | 2012 |
| 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 | 9 | 2019 |
| An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention Y Kim, B Shin MLHC 2021, 2021 | 4 | 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 | 4 | 2017 |
| Improving group robustness under noisy labels using predictive uncertainty D Oh, D Lee, J Byun, B Shin arXiv preprint arXiv:2212.07026, 2022 | 3 | 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 | 3 | 2020 |
Jinho D. ChoiAssociate Professor, Emory University在 emory.edu 的电子邮件经过验证
