| Support vector machines with binary tree architecture for multi-class classification S Cheong, SH Oh, SY Lee Neural Information Processing-Letters and Reviews 2 (3), 47-51, 2004 | 327 | 2004 |
| An analysis of premature saturation in back propagation learning Y Lee, SH Oh, MW Kim Neural networks 6 (5), 719-728, 1993 | 172 | 1993 |
| Improving the error backpropagation algorithm with a modified error function SH Oh IEEE Transactions on Neural Networks 8 (3), 799-803, 1997 | 155 | 1997 |
| Error back-propagation algorithm for classification of imbalanced data SH Oh Neurocomputing 74 (6), 1058-1061, 2011 | 109 | 2011 |
| Sensitivity analysis of single hidden-layer neural networks with threshold functions SH Oh, Y Lee IEEE Transactions on Neural Networks 6 (4), 1005-1007, 1995 | 63 | 1995 |
| Adaptive noise cancelling based on independent component analysis HM Park, SH Oh, SY Lee Electronics Letters 38 (15), 832-833, 2002 | 36 | 2002 |
| A new error function at hidden layers for fast training of multilayer perceptrons SH Oh, SY Lee IEEE transactions on neural networks 10 (4), 960-964, 1999 | 34 | 1999 |
| A filter bank approach to independent component analysis for convolved mixtures HM Park, CS Dhir, SH Oh, SY Lee Neurocomputing 69 (16-18), 2065-2077, 2006 | 31 | 2006 |
| Effect of nonlinear transformations on correlation between weighted sums in multilayer perceptrons SH Oh, Y Lee IEEE transactions on neural networks 5 (3), 508-510, 1994 | 31 | 1994 |
| A blind extraction of temporally correlated but statistically dependent acoustic signals A Cichocki, T Rutkowski, AK Barros, SH Oh Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal …, 2000 | 30 | 2000 |
| A Modified Error Function to Improve the Error Back‐Propagation Algorithm for Multi‐Layer Perceptrons SH Oh, Y Lee ETRI Journal 17 (1), 11-22, 1995 | 30 | 1995 |
| Associative-memory model based on neural networks: modification of Hopfield model SH Oh, TH Yoon, JC Kim Optics letters 13 (1), 74-76, 1988 | 29 | 1988 |
| Input noise immunity of multilayer perceptrons Y Lee, SH Oh ETRI Journal 16 (1), 35-43, 1994 | 23 | 1994 |
| Unpaired speech enhancement by acoustic and adversarial supervision for speech recognition G Kim, H Lee, BK Kim, SH Oh, SY Lee IEEE signal processing letters 26 (1), 159-163, 2018 | 22 | 2018 |
| A modified infomax algorithm for blind signal separation HM Park, SH Oh, SY Lee Neurocomputing 70 (1-3), 229-240, 2006 | 12 | 2006 |
| Unsupervised multi-sense language models for natural language processing tasks J Roh, S Park, BK Kim, SH Oh, SY Lee Neural Networks 142, 397-409, 2021 | 11 | 2021 |
| Deep CNNs along the time axis with intermap pooling for robustness to spectral variations H Lee, G Kim, HG Kim, SH Oh, SY Lee IEEE Signal Processing Letters 23 (10), 1310-1314, 2016 | 11 | 2016 |
| Statistical analyses of various error functions for pattern classifiers SH Oh Convergence and Hybrid Information Technology: 5th International Conference …, 2011 | 11 | 2011 |
| Hydrological modelling of water level near SH Oh, H Wakuya International Journal of Contents 12 (1), 49-53, 2016 | 8 | 2016 |
| Binaural semi-blind dereverberation of noisy convoluted speech signals JH Lee, SH Oh, SY Lee Neurocomputing 72 (1-3), 636-642, 2008 | 8 | 2008 |
