Seojin Bang
Seojin Bang
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Multiview cluster analysis identifies variable corticosteroid response phenotypes in severe asthma
W Wu, S Bang, ER Bleecker, M Castro, L Denlinger, SC Erzurum, JV Fahy, ...
American journal of respiratory and critical care medicine 199 (11), 1358-1367, 2019
Explaining a black-box using deep variational information bottleneck approach
S Bang, P Xie, H Lee, W Wu, E Xing
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021
Ethnic variability in the allelic distribution of pharmacogenes between Korean and other populations
IW Kim, K Im Kim, H Chang, B Yeon, SJ Bang, T Park, J Kwon, S Kim, ...
Pharmacogenetics and genomics 22 (12), 829-836, 2012
Naive Bayes ensemble: A new approach to classifying unlabeled multi-class asthma subjects
S Bang, W Wu
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
Robust Multiple Kernel k-means Clustering using Min-Max Optimization
S Bang, Y Yu, W Wu
arXiv preprint arXiv:1803.02458, 2018
Phased-LSTM Based Predictive Model for longitudinal EHR Data with Missing Values
S Bang, Y Wang, Y Yang
Phosphoproteomic analysis of the amygdala response to adolescent glucocorticoid exposure reveals g-protein coupled receptor kinase 2 as a target for reducing motivation for alcohol
M Bertholomey, K Stone, TK Lam, S Bang, W Wu, A Nairn, J Taylor, ...
Proteomes 6 (4), 41, 2018
Detecting Attackable Sentences in Arguments
Y Jo, S Bang, E Manzoor, E Hovy, C Reed
The 2020 Conference on Empirical Methods in Natural Language Processing., 2020
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning
B Jeon, N Park, S Bang
The Thirty-Fourth AAAI Conference on Artificial Intelligence. Workshop on …, 2020
KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification
H Jang, S Bang, W Xiao, G Carenini, R Ng, Y ji Lee
Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on …, 2021
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes
Y Jo, S Bang, C Reed, E Hovy
Transactions of the Association for Computational Linguistics (TACL), 2021
A mixture model to detect edges in sparse co-expression graphs with an application for comparing breast cancer subtypes
H Bar, S Bang
Plos one 16 (2), e0246945, 2021
Identification of Epitope-TCR Binding Using A Generative Adversarial Network Model
S Bang, H Lee
The 37th International Conference on Machine Learning. Workshop on …, 2020
A Mixture Model to Detect Edges in Sparse Co-expression Graphs
H Bar, S Bang
arXiv preprint arXiv:1804.01185, 2018
Joint selection of SNPs for improving prediction in genome-wide association studies
S Bang, YG Kim, T Park
2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012
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