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2020 – today
- 2021
[j5]Yechan Mun
, Inyoung Paik, Su-Jin Shin, Tae-Yeong Kwak, Hyeyoon Chang:
Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning. npj Digit. Medicine 4 (2021)- 2020
- [j4]Su-Jin Shin, Seyeob Kim, Youngjung Kim, Sungho Kim:
Hierarchical Multi-Label Object Detection Framework for Remote Sensing Images. Remote. Sens. 12(17): 2734 (2020) - [c4]Su-Jin Shin, Kyungwoo Song, Il-Chul Moon:
Hierarchically Clustered Representation Learning. AAAI 2020: 5776-5783
2010 – 2019
- 2019
- [j3]Su-Jin Shin, Ahram Kang, Doyun Kim, Junseok Lee, Jang Won Bae, Il-Chul Moon:
Improving counterfire operations with enhanced command and control structure. Comput. Math. Organ. Theory 25(4): 464-498 (2019) - [i2]Su-Jin Shin, Kyungwoo Song, Il-Chul Moon:
Hierarchically Clustered Representation Learning. CoRR abs/1901.09906 (2019) - 2018
- [j2]Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon:
Hierarchical prescription pattern analysis with symptom labels. Pattern Recognit. Lett. 111: 94-100 (2018) - [c3]Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon:
Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI 2018: 3917-3924 - 2017
- [j1]Su-Jin Shin, Il-Chul Moon:
Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors. IEEE Trans. Knowl. Data Eng. 29(2): 330-343 (2017) - [i1]Sungrae Park, Jun-Keon Park, Su-Jin Shin, Il-Chul Moon:
Adversarial Dropout for Supervised and Semi-supervised Learning. CoRR abs/1707.03631 (2017) - 2015
- [c2]Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon:
Hierarchical Prescription Pattern Analysis with Symptom Labels. ICDM Workshops 2015: 178-187 - 2014
- [c1]Kyungwoo Song, Do-Hyeong Kim, Su-Jin Shin, Il-Chul Moon:
Identifying the evolution of disasters and responses with network-text analysis. SMC 2014: 664-671
Coauthor Index
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