A maximum likelihood approach to single-channel source separation GJ Jang, TW Lee The Journal of Machine Learning Research 4, 1365-1392, 2003 | 246 | 2003 |
Single-channel signal separation using time-domain basis functions GJ Jang, TW Lee, YH Oh IEEE signal processing letters 10 (6), 168-171, 2003 | 126 | 2003 |
A probabilistic approach to single channel blind signal separation GJ Jang, TW Lee Advances in neural information processing systems 15, 2002 | 87 | 2002 |
Learning statistically efficient features for speaker recognition GJ Jang, TW Lee, YH Oh Neurocomputing 49 (1-4), 329-348, 2002 | 76 | 2002 |
Long short-term memory recurrent neural network-based acoustic model using connectionist temporal classification on a large-scale training corpus D Lee, M Lim, H Park, Y Kang, JS Park, GJ Jang, JH Kim China Communications 14 (9), 23-31, 2017 | 63 | 2017 |
Convolutional Neural Network based Audio Event Classification. M Lim, D Lee, H Park, Y Kang, J Oh, JS Park, GJ Jang, JH Kim KSII Transactions on Internet & Information Systems 12 (6), 2018 | 50 | 2018 |
A genetic algorithm-based moving object detection for real-time traffic surveillance G Lee, R Mallipeddi, GJ Jang, M Lee IEEE signal processing letters 22 (10), 1619-1622, 2015 | 49 | 2015 |
Semi-local structure patterns for robust face detection K Jeong, J Choi, GJ Jang IEEE Signal Processing Letters 22 (9), 1400-1403, 2014 | 49 | 2014 |
Glaucomatous patterns in Frequency Doubling Technology (FDT) perimetry data identified by unsupervised machine learning classifiers C Bowd, RN Weinreb, M Balasubramanian, I Lee, G Jang, S Yousefi, ... PloS one 9 (1), e85941, 2014 | 49 | 2014 |
Progression of patterns (POP): a machine classifier algorithm to identify glaucoma progression in visual fields MH Goldbaum, I Lee, G Jang, M Balasubramanian, PA Sample, ... Investigative ophthalmology & visual science 53 (10), 6557-6567, 2012 | 48 | 2012 |
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 |
The statistical structures of male and female speech signals TW Lee, GJ Jang 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 45 | 2001 |
Acoustic interference cancellation for a voice-driven interface in smart TVs JS Park, GJ Jang, JH Kim, SH Kim IEEE Transactions on Consumer Electronics 59 (1), 244-249, 2013 | 38 | 2013 |
Quantitative screening of cervical cancers for low-resource settings: pilot study of smartphone-based endoscopic visual inspection after acetic acid using machine learning … JK Bae, HJ Roh, JS You, K Kim, Y Ahn, S Askaruly, K Park, H Yang, ... JMIR mHealth and uHealth 8 (3), e16467, 2020 | 25 | 2020 |
Patterns of glaucomatous visual field loss in sita fields automatically identified using independent component analysis MH Goldbaum, GJ Jang, C Bowd, J Hao, LM Zangwill, J Liebmann, ... Transactions of the American Ophthalmological Society 107, 136, 2009 | 25 | 2009 |
Independent vector analysis based on overlapped cliques of variable width for frequency-domain blind signal separation I Lee, GJ Jang EURASIP Journal on Advances in Signal Processing 2012, 1-12, 2012 | 23 | 2012 |
A subspace approach to single channel signal separation using maximum likelihood weighting filters GJ Jang, TW Lee, YH Oh 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 22 | 2003 |
Novel iterative approach using generative and discriminative models for classification with missing features MA Kiasari, GJ Jang, M Lee Neurocomputing 225, 23-30, 2017 | 21 | 2017 |
Feature vector transformation using independent component analysis and its application to speaker identification. GJ Jang, SJ Yun, YH Oh EUROSPEECH, 767-770, 1999 | 20 | 1999 |
Stress status classification based on EEG signals JS Kang, G Jang, M Lee The journal of the institute of internet, broadcasting and communication 16 …, 2016 | 19 | 2016 |