Publications

International Conference Papers

▶ Sang-Hoon Oh "Regularization with Probabilistic Target Encoding" Proc. Int. Conf. on Convergence Content, ICCJEJU, Jeju, Korea, Dec. 21-23, 2022, pp. 175-176.

▶ Sang-Hoon Oh "Encoding of Targets for Deep Neural Networks" Proc. Int. Conf. on Convergence Content, Ramada Plaza, Jeju, Korea, Dec. 19-21, 2021, pp. 3-4.

▶ Sang-Hoon Oh "Classification of Imbalanced Data" Proc. Int. Conf. on Convergence Content, The Westin Chosun Busan, Busan, Korea, Nov. 12-14, 2020, pp. 135-136.

▶ Sang-Hoon Oh "Optimal Solutions for SoftMax Outputs" Proc. Int. Conf. on Convergence Content,Afiniti Medini, Johor, Malaysia, Dec. 19-21, 2019, pp. 73-74.

▶ Sang-Hoon Oh "Error Function for SoftMax Outputs" Proc. Int. Conf. on Convergence Content, ICCJEJU, JEJU, Korea, Dec. 17-19, 2018, pp. 129-130.

▶ Sang-Hoon Oh "On the Characteristics of Error Functions for Neural Networks" Proc. Int. Conf. on Convergence Content, Asian Institute of Technology, Pathumthani, Thailand, Dec. 9-12, 2017, pp. 29-30.

▶ Sang-Hoon Oh "Improving the Subject-Independent Classification of Implicit Intention" Proc. Int. Conf. on Convergence Content, University of the Ryukyus, Okinawa, Japan, Dec. 10-13, 2016, pp. 107-108.

▶Hiroshi Wakuya, Kohei Nakata, Hideki Itoh, Sang-Hoon Oh, and Yong-Sun Oh "Evacuation Route Planning using Hopfield Neyworks based on Ensemble Style for Multiple Bottlenecks" Proc. Int. Conf. on Convergence Content, The Pacific Sutera Hotel, Kota Kinabalu, Malaysia, Dec. 11-14, 2015, pp. 123-124.

▶Sang-Hoon Oh and Hiroshi Wakuya "Predicting the water Level in Andong region" Proc. Int. Conf. on Convergence Content, The Pacific Sutera Hotel, Kota Kinabalu, Malaysia, Dec. 11-14, 2015, pp. 115-116.

▶Sang-Hoon Oh, Yong-Sun Oh and Hiroshi Wakuya "Artificial Neural Networks and Forecasting Disasters" Proc. Int. Symposium on ICT-based Disaster Prevention Design, Ritsumeikan University, Japan, Jan. 23-25, 2015, pp. 27-28.

▶ Hiroshi Wakuya, Kohei Nakata, Hideaki Ito, Sang-Hoon Oh, and Yong-Sun Oh "Evacuation Route Planning for Disaster Prevention Design"Proc. Int. Symposium on ICT-based Disaster Prevention Design, Ritsumeikan University, Japan, Jan. 23-25, 2015, pp. 38-39.

▶ Hiroshi Wakuya, Shohei Matsuoka, Hideaki Itoh, and Sang-Hoon Oh "A Consideration on Visualization of temporal Signals by Feedback SOM" Proc. SCIS & ISIS2014, Kitakyushu, Japan, Dec. 4-6, 2014, pp. 544-549.

▶ Sang-Hoon Oh "Error Back-Propagation Algorithm with Independent Component Analysis" Proc. Int. Conf. on Convergence Content 2014, Jeju Island, Korea, pp. 31-32, June 26-28 2014

▶ Sang-Hoon Oh "Relationship between Entropy and Cross-Entropy Error Function" Proc. Int. Conf. on Convergence Content 2013, Okinawa, Japan, pp. 279-280, Dec. 14-17 2013.

▶ Sang-Hoon Oh "ROC Comparison of Objective Functions," Proc. Int. Conf. on Convergence Content 2012, Saga, Japan, pp. 451-452, Dec. 14-17 2012.

▶ Wonil Chang, Hyun Ah Song, Sang-Hoon Oh, and Soo-Young Lee "Self-correcting Symmetry Detection Network " Proc. Int. Conf. on Neural Information Processing, Doha, Qatar, LNCS Vol. 7664, pp. 559-566, Nov. 12-15, 2012.

▶ Sang-Hoon Oh "Protein Disorder Prediction," Proc. Int. Conf. on Convergence Content 2011, Manila, Philipine, pp. 271-272, Dec. 16-17 2011.

▶ Sang-Hoon Oh " Statistical Analyses of Various Error Functions for Pattern Classifiers " Proc. Convergence on Hybrid Information Technology, Daejon, Korea, CCIS Vol. 206, pp. 129-133, Sept. 22-24, 2011.

▶ Sang-Hoon Oh " Hidden Node Pruning of Multilayer Perceptrons Based on Redundancy Reduction " Proc. Convergence on Hybrid Information Technology, Daejon, Korea, LNCS Vol. 6935, pp. 245-249, Sept. 22-24, 2011.

▶ Sang-Hoon Oh "Classifiaction of Imbalanced Data with Multilayer Perceptrons," Proc. Int. Conf. on Convergence Content 2010, Nara, Japan, pp. 419-420, Dec. 17-19 2010.

▶ Sang-Hoon Oh "On the Design of Multilayer perceptrons for Pattern Classifications," Proc. Int. Conf. on Convergence Content 2009, Hanoi, Vietnam, pp. 59-62, Dec. 17-19 2009.

▶ Sang-Hoon Oh "Performance improvement of multilayer perceptrons with increased output nodes per class," Proc. Int. Conf. on Convergence Content 2008, Sanghai, China, pp. 715-720, Dec. 19-20 2008.

▶ Hyung-Min Park, Jong-Hwan Lee, Sang-Hoon Oh, and Soo-Young Lee, "Blind deconvolution with sparse priors on the deconvolution filters," Lectures Notes in Computer Science 3889, Proc. ICA2004-Charleston, USA, pp. 658-665, March 2006.

▶ Jong-Hwan Lee, Sang-Hoon Oh, and Soo-Young Lee, "Blind dereverberation of single-channel speech signals using an ICA-based generative model," Lectures Notes in Computer Science 3316, Proc. ICONIP2004-Calcutta, India, pp. 1070-1075, Nov. 2004.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, "Blind equalization Uisng Direct Channel Estimation," Lectures Notes in Computer Science 3195, Proc. ICA2004-Granada, Spain, pp. 562-569, Sept. 21-23, 2004.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, "A Uniform Oversampled Filter Bank Approach to Independent Component Analysis," Proc. ICNNSP, Nanjing, China, Dec. 14-17 2003.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, "An Oversampled Filter Bank Approach to Independent Component Analysis for Convolved Mixtures," Proc. ICANN/ICONIP 2003-Istanbul, Turkey, pp. 354-357, June 26-29, 2003.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, "A Modification of the Gradient Algorithm for Blind Signal Separation," Proc. ICA2003, pp. 391-396, Nara, Japan, April 1-4, 2003.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, "A Uniform Oversampled Filter Bank Approach to Independent Component Analysis," Proc. ICASSP, vol V, pp. 249-252, Hong Kong, April 6-10, 2003.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, "On adaptive noise cancelling based on independent component analysis," Proc. of ICA2001, San Diego, California, Dec. 9-13, pp. 394-399.

▶ A. Cichocki, T. Rutkowski, A.K. Barros, and Sang-Hoon Oh, " A blind extraction of temporally correlated but statistically dependent acoustic signals," Proc. IEEE Neural Nwtworks for Signal Processing Workshop, p. 455-464, vol. 1, 2000.

▶ Sang-Hoon Oh, Andrzej Cichocki, Seungjin Choi, Shun-ichi Amari, and Soo-Young Lee, ``Comparison of ICA/BSS algorithms for noisy data," Proc. ICONIP2000-Taejon, Korea, Nov. 2000.

▶ Sang-Hoon Oh and Soo-Young Lee, ``Optimal learning rates for each pattern and neuron in gradient descent learning of multilayer perceptrons," Proc. IJCNN'99-Washington, DC, July 1999.

▶ Sang-Hoon Oh and Soo-Young Lee, ``Accelerating the learning speed of multilayer perecptrons with a new error function for hidden layer," Proc. ICONIP'98-Kitakyushu Japan, pp. 1008-1011, Oct. 1998.

▶ Sang-Hoon Oh, Soo-Young Lee, Sungmoon Shin, and Hun Lee, ``Adaptive learning rate and limited error signal for multilayer perceptrons with n-th order cross-entropy error," Proc. IJCNN'98-Anchorage, pp. 2357-2360, May 1998.

▶ Sang-Hoon Oh, ``Generalization of the cross-entropy error function to improve the error back-propagation algorithm," Proc. ICNN'97-Houston, pp. 1856-1861, June 1997.

▶ Lae-Jeong Park, Dong-Kyung Nam, Cheol Hoon Park, and Sang-Hoon Oh, ``An empirical comparison of simulated annealing and genetic algorithm on NK ffitness landscapes," Proc. ICEC'97-Indiananpolis, pp. 147-151, April 1997.

▶ Rhee-Man Kil and Sang-Hoon Oh, ``Supervised learning with genetic algorithm," Proc. WCNN'96-San Diego, pp. 1082-1087, Sept. 1996.

▶ Sang-Hoon Oh, ``Modified error signal of output nodes in the error back-propagation algorithm," Proc. Int. Conf. Neural Networks and Signal processing, Nanjing, Chiona, Dec. 1995.

▶ Sang-Hoon Oh and Youngjik Lee, ``Improving the error back-propagation algorithm with modified error function," Proc. WCNN'95-Washington, DC, vol. I, pp. 618-623, July 1995.

▶ Youngjik Lee and Sang-Hoon Oh, ``Improving the error-back propagation algorithm," Proc. ICONIP'94-Seoul, vol 2, pp. 772-777, Oct. 1994.

▶ Sang-Hoon Oh and Youngjik Lee, ``Sensitivity analysis of trained neural networks with threshold functions," Proc. ICNN'94-Orlando, vol. II, pp. 986-991, June 1994.

▶ Sang-Hoon Oh and Youngjik Lee, ``Correlation between weighted sums in Multi-Layer Perceptrons decreases under sigmoidal transformations," Proc. ICNN'94-Orlando, vol. II, pp.956-959, June 1994.

▶ Myung Won Kim et. al, ``An implementation of a digital neurocomputer and its application to handwritten digit recognition," Proc. IJCNN'92-Beijing, vol. III, pp. 258-263, Nov. 1992.

▶ Sang-Hoon Oh and Youngjik Lee, ``An analysis on the classification performance of multilayer perceptrons," Proc. IJCNN'92-Beijing, vol. II, pp. 787-792, Nov. 1992.

▶ Myung Won Kim et. al, ``An implementation of a general-purposed neurocomputer using digital neural processors and its application," Proc.PRICAI'92, pp. 67-71, Seoul 1992.

▶ (Invited) Youngjik Lee, Sang-Hoon Oh, Hyun Kyung Song, and Myung Won Kim, ``Design rules of multilayer perecptrons," Proc. SPIE Conf. Science of Artificial Neural Networks, vol. 1710, pp. 329-339, Orlando, April 1992.

▶ Youngjik Lee, Sang-Hoon Oh, and Myung Won Kim, ``The effect of initial weights on premature saturation in back-propagation learning," Proc. IJCNN'91-Seattle, vol. I, pp. 765-770, July 1991.

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