Su-Jin Shin
Su-Jin Shin
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Adversarial dropout for supervised and semi-supervised learning
S Park, JK Park, SJ Shin, IC Moon
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Guided htm: Hierarchical topic model with dirichlet forest priors
SJ Shin, IC Moon
IEEE Transactions on Knowledge and Data Engineering 29 (2), 330-343, 2016
Hierarchically clustered representation learning
SJ Shin, K Song, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5776-5783, 2020
Hierarchical multi-label object detection framework for remote sensing images
SJ Shin, S Kim, Y Kim, S Kim
Remote Sensing 12 (17), 2734, 2020
Coupling Denoising to Detection for SAR Imagery
S Shin, Y Kim, I Hwang, J Kim, S Kim
Applied Sciences 11 (12), 5569, 2021
Hierarchical prescription pattern analysis with symptom labels
SJ Shin, JY Oh, S Park, M Kim, IC Moon
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 178-187, 2015
Identifying the evolution of disasters and responses with network-text analysis
K Song, DH Kim, SJ Shin, IC Moon
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
Estimating Optimized Bidding Price in Virtual Electricity Wholesale Market
SJ Shin, SH Lee, YJ Kwon, JG Cha, IC Moon
Journal of Korean Institute of Industrial Engineers 39 (6), 562-576, 2013
EO-Augmented Building Segmentation for Airborne SAR Imagery
J Kim, S Shin, S Kim, Y Kim
IEEE Geoscience and Remote Sensing Letters, 2021
Improving counterfire operations with enhanced command and control structure
SJ Shin, A Kang, D Kim, J Lee, JW Bae, IC Moon
Computational and Mathematical Organization Theory 25 (4), 464-498, 2019
Faster R-CNN 을 이용한 위성 이미지에서의 교통 수단 객체 탐지
신수진, 박준건, 김윤영, 장준호, 문일철
한국군사과학기술학회 추계학술대회, 2017
Faster R-CNN 의 중심 Convolution Neural Network 모델이 훈련 및 추론에 미치는 영향에 대한 분석
신수진, 박준건, 김윤영, 장준호, 문일철
대한산업공학회 추계학술대회 논문집, 1-5, 2017
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