Controlled dropout: A different approach to using dropout on deep neural network BS Ko, HG Kim, KJ Oh, HJ Choi 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 50 | 2017 |
Recurrent neural networks with missing information imputation for medical examination data prediction HG Kim, GJ Jang, HJ Choi, M Kim, YW Kim, J Choi 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 47 | 2017 |
Proxy synthesis: Learning with synthetic classes for deep metric learning G Gu, B Ko, HG Kim Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1460-1468, 2021 | 39 | 2021 |
Learning with memory-based virtual classes for deep metric learning B Ko, G Gu, HG Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 24 | 2021 |
Rehabilitation posture correction using deep neural network SH Han, HG Kim, HJ Choi 2017 IEEE international conference on big data and smart computing (BigComp …, 2017 | 24 | 2017 |
Controlled dropout: A different dropout for improving training speed on deep neural network BS Ko, HG Kim, HJ Choi 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 20 | 2017 |
Modeling long-term human activeness using recurrent neural networks for biometric data ZM Kim, H Oh, HG Kim, CG Lim, KJ Oh, HJ Choi BMC medical informatics and decision making 17, 1-15, 2017 | 15 | 2017 |
Robust online signature verification using long-term recurrent convolutional network CY Park, HG Kim, HJ Choi 2019 IEEE International Conference on Consumer Electronics (ICCE), 1-6, 2019 | 9 | 2019 |
Discriminative restricted Boltzmann machine for emergency detection on healthcare robot HG Kim, SH Han, HJ Choi 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 9 | 2017 |
Medical examination data prediction using simple recurrent network and long short-term memory HG Kim, GJ Jang, HJ Choi, M Kim, YW Kim, J Choi Proceedings of the Sixth International Conference on Emerging Databases …, 2016 | 7 | 2016 |
Speech and music pitch trajectory classification using recurrent neural networks for monaural speech segregation HG Kim, GJ Jang, YH Oh, HJ Choi The Journal of Supercomputing 76, 8193-8213, 2020 | 6 | 2020 |
Audio source separation using a deep autoencoder G Jang, HG Kim, YH Oh arXiv preprint arXiv:1412.7193, 2014 | 6 | 2014 |
Speech segregation based on pitch track correction and music-speech classification HG Kim, GJ Jang, JS Park, JH Kim, YH Oh Advances in Electrical and Computer Engineering 12 (2), 15-20, 2012 | 5 | 2012 |
Image analogy with Gaussian process CY Park, HG Kim, DK Lee, Z Li, SH Han, HJ Choi 2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018 | 3 | 2018 |
Medical examination data prediction with missing information imputation based on recurrent neural networks HG Kim, GJ Jang, HJ Choi, M Lim, J Choi International Journal of Data Mining and Bioinformatics 19 (3), 202-220, 2017 | 3 | 2017 |
Particle filtering based pitch sequence correction for monaural speech segregation HG Kim, GJ Jang, JS Park, JH Kim, YH Oh International journal of imaging systems and technology 23 (1), 64-70, 2013 | 3 | 2013 |
Voice command recognition for fighter pilots using grammar tree H Kim, J Park, Y Oh, S Kim, B Kim Computer Applications for Database, Education, and Ubiquitous Computing …, 2012 | 3 | 2012 |
Group generalized mean pooling for vision transformer B Ko, HG Kim, B Heo, S Yun, S Chun, G Gu, W Kim arXiv preprint arXiv:2212.04114, 2022 | 2 | 2022 |
Improving low-rank matrix completion with self-expressiveness M Kwon, HG Kim, HJ Choi Proceedings of the 27th ACM International Conference on Information and …, 2018 | 2 | 2018 |
Single channel blind source separation based on probabilistic matrix factorisation HG Kim, GJ Jang, JS Park, YH Oh, HJ Choi Electronics Letters 53 (21), 1429-1431, 2017 | 2 | 2017 |