| Constructing support vector machine ensemble HC Kim, S Pang, HM Je, D Kim, SY Bang Pattern recognition 36 (12), 2757-2767, 2003 | 563 | 2003 |
| Incremental linear discriminant analysis for classification of data streams S Pang, S Ozawa, N Kasabov IEEE transactions on Systems, Man, and Cybernetics, part B (Cybernetics) 35 …, 2005 | 353 | 2005 |
| Incremental learning of chunk data for online pattern classification systems S Ozawa, S Pang, N Kasabov IEEE Transactions on Neural Networks 19 (6), 1061-1074, 2008 | 128 | 2008 |
| Incremental learning of feature space and classifier for face recognition S Ozawa, SL Toh, S Abe, S Pang, N Kasabov Neural Networks 18 (5-6), 575-584, 2005 | 114 | 2005 |
| Support vector machine ensemble with bagging HC Kim, S Pang, HM Je, D Kim, SY Bang International Workshop on Support Vector Machines, 397-408, 2002 | 112 | 2002 |
| Face membership authentication using SVM classification tree generated by membership-based LLE data partition S Pang, D Kim, SY Bang IEEE transactions on Neural networks 16 (2), 436-446, 2005 | 103 | 2005 |
| Pattern classification using support vector machine ensemble HC Kim, S Pang, HM Je, D Kim, SY Bang Object recognition supported by user interaction for service robots 2, 160-163, 2002 | 96 | 2002 |
| Membership authentication in the dynamic group by face classification using SVM ensemble S Pang, D Kim, SY Bang Pattern Recognition Letters 24 (1-3), 215-225, 2003 | 89 | 2003 |
| Transductive support vector machines and applications in bioinformatics for promoter recognition N Kasabov, S Pang International Conference on Neural Networks and Signal Processing, 2003 …, 2003 | 71 | 2003 |
| A modified incremental principal component analysis for on-line learning of feature space and classifier S Ozawa, S Pang, N Kasabov Pacific Rim International Conference on Artificial Intelligence, 231-240, 2004 | 47 | 2004 |
| Classification consistency analysis for bootstrapping gene selection S Pang, I Havukkala, Y Hu, N Kasabov Neural Computing and Applications 16 (6), 527-539, 2007 | 45 | 2007 |
| Personalized mode transductive spanning SVM classification tree S Pang, T Ban, Y Kadobayashi, N Kasabov Information Sciences 181 (11), 2071-2085, 2011 | 37 | 2011 |
| Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problems S Pang, N Kasabov 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 35 | 2004 |
| Referential knn regression for financial time series forecasting T Ban, R Zhang, S Pang, A Sarrafzadeh, D Inoue International Conference on Neural Information Processing, 601-608, 2013 | 32 | 2013 |
| Incremental learning for online face recognition S Ozawa, SL Toh, S Abe, S Pang, N Kasabov Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 30 | 2005 |
| Dynamic class imbalance learning for incremental LPSVM S Pang, L Zhu, G Chen, A Sarrafzadeh, T Ban, D Inoue Neural Networks 44, 87-100, 2013 | 27 | 2013 |
| Multiple sequence alignment and artificial neural networks for malicious software detection Y Chen, A Narayanan, S Pang, B Tao 2012 8th International Conference on Natural Computation, 261-265, 2012 | 23 | 2012 |
| One-pass incremental membership authentication by face classification S Pang, S Ozawa, N Kasabov International Conference on Biometric Authentication, 155-161, 2004 | 23 | 2004 |
| The global cyber security workforce: an ongoing human capital crisis L Fourie, S Pang, T Kingston, H Hettema, P Watters, H Sarrafzadeh Global Business and Technology Association, 2014 | 21 | 2014 |
| Correlation-aided support vector regression for forex time series prediction S Pang, L Song, N Kasabov Neural Computing and Applications 20 (8), 1193-1203, 2011 | 20 | 2011 |
