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ORCIDSiong-Thye Goh
Person information
- affiliation: Singapore Management University, Singapore
- affiliation: Massachusetts Institute of Technology (MIT), Operations Research Center, Cambridge, MA, USA
- affiliation: National University of Singapore, Department of Mathematics, Singapore
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Journal Articles
- 2011
[j4]Chik How Tan, Siong-Thye Goh
:
Several Classes of Even-Variable Balanced Boolean Functions with Optimal Algebraic Immunity. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(1): 165-171 (2011)- [j3]Delin Chu, Siong Thye Goh, Y. S. Hung:
Characterization of All Solutions for Undersampled Uncorrelated Linear Discriminant Analysis Problems. SIAM J. Matrix Anal. Appl. 32(3): 820-844 (2011) - 2010
- [j2]Delin Chu, Siong Thye Goh:
A new and fast implementation for null space based linear discriminant analysis. Pattern Recognit. 43(4): 1373-1379 (2010) - [j1]Delin Chu, Siong Thye Goh:
A New and Fast Orthogonal Linear Discriminant Analysis on Undersampled Problems. SIAM J. Sci. Comput. 32(4): 2274-2297 (2010)
Conference and Workshop Papers
- 2022
- [c5]Jonathan Chase, Siong Thye Goh, Tran Phong, Hoong Chuin Lau:
OFFICERS: Operational Framework for Intelligent Crime-and-Emergency Response Scheduling. ICAPS 2022: 444-452 - [c4]Siong Thye Goh, Jianyuan Bo, Sabrish Gopalakrishnan, Hoong Chuin Lau:
Techniques to enhance a QUBO solver for permutation-based combinatorial optimization. GECCO Companion 2022: 2223-2231 - 2021
- [c3]Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, Hoong Chuin Lau:
QROSS: QUBO Relaxation Parameter optimisation via Learning Solver Surrogates. ICDCS Workshops 2021: 35-40 - 2019
- [c2]Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum:
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. IJCAI 2019: 3835-3841 - 2014
- [c1]Siong Thye Goh, Cynthia Rudin:
Box drawings for learning with imbalanced data. KDD 2014: 333-342
Informal and Other Publications
- 2021
- [i3]Tian Huang, Siong Thye Goh, Sabrish Gopalakrishnan, Tao Luo, Qianxiao Li, Hoong Chuin Lau:
QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates. CoRR abs/2103.10695 (2021) - 2018
- [i2]Siong Thye Goh, Cynthia Rudin:
A Minimax Surrogate Loss Approach to Conditional Difference Estimation. CoRR abs/1803.03769 (2018) - 2014
- [i1]Siong Thye Goh, Cynthia Rudin:
Box Drawings for Learning with Imbalanced Data. CoRR abs/1403.3378 (2014)
Coauthor Index
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