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
Proceedings of the AAAI conference on artificial intelligence 32 (1), 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
Hierarchical multi-label object detection framework for remote sensing images
SJ Shin, S Kim, Y Kim, S Kim
Remote Sensing 12 (17), 2734, 2020
Hierarchically clustered representation learning
SJ Shin, K Song, IC Moon
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5776-5783, 2020
Coupling Denoising to Detection for SAR Imagery
S Shin, Y Kim, I Hwang, J Kim, S Kim
Applied Sciences 11 (12), 5569, 2021
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
EO-Augmented Building Segmentation for Airborne SAR Imagery
J Kim, S Shin, S Kim, Y Kim
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 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
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
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
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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