Combating negative transfer from predictive distribution differences CW Seah, YS Ong, IW Tsang IEEE transactions on cybernetics 43 (4), 1153-1165, 2012 | 59 | 2012 |
Pareto rank learning in multi-objective evolutionary algorithms CW Seah, YS Ong, IW Tsang, S Jiang 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 47 | 2012 |
Transductive ordinal regression CW Seah, IW Tsang, YS Ong IEEE transactions on neural networks and learning systems 23 (7), 1074-1086, 2012 | 46 | 2012 |
Troll detection by domain-adapting sentiment analysis CW Seah, HL Chieu, KMA Chai, LN Teow, LW Yeong 2015 18th International Conference on Information Fusion (Fusion), 792-799, 2015 | 37 | 2015 |
Transfer ordinal label learning CW Seah, IW Tsang, YS Ong IEEE transactions on neural networks and learning systems 24 (11), 1863-1876, 2013 | 29 | 2013 |
Predictive distribution matching svm for multi-domain learning CW Seah, IW Tsang, YS Ong, KK Lee Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 22 | 2010 |
Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems MN Le, YS Ong, S Menzel, CW Seah, B Sendhoff 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 20 | 2012 |
Healing sample selection bias by source classifier selection CW Seah, IWH Tsang, YS Ong 2011 IEEE 11th International Conference on Data Mining, 577-586, 2011 | 19 | 2011 |
Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition D Kumar, C Kumar, CW Seah, S Xia, M Shao Proceedings of the 28th ACM International Conference on Multimedia, 3829-3837, 2020 | 10 | 2020 |
Learning target predictive function without target labels CW Seah, IWH Tsang, YS Ong, Q Mao 2012 IEEE 12th International Conference on Data Mining, 1098-1103, 2012 | 4 | 2012 |
Trend mining for system reliability employing a novel heuristic-based Kriging profiling method TJ Hsieh, YS Ong, JCP Su, CW Seah Applied Mathematical Modelling 38 (19-20), 4849-4862, 2014 | 2 | 2014 |
Exploiting auxiliary data for designing reliable classifier in domain adaptation CW Seah | | 2012 |