| Deep Convolutional Neural Networks On Multichannel Time Series For Human Activity Recognition JB Yang, MN Nguyen, PP San, XL Li, S Krishnaswamy IJCAI 2015, 2015 | 1439 | 2015 |
| Positive Unlabeled Learning for Time Series Classification MN Nguyen, XL Li, SK Ng Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 127 | 2011 |
| Detecting click fraud in online advertising: a data mining approach R Oentaryo, EP Lim, M Finegold, D Lo, F Zhu, C Phua, EY Cheu, GE Yap, ... The Journal of Machine Learning Research 15 (1), 99-140, 2014 | 110 | 2014 |
| An integrated framework for human activity recognition H Cao, MN Nguyen, C Phua, S Krishnaswamy, XL Li Proceedings of the 2012 ACM conference on ubiquitous computing, 621-622, 2012 | 74 | 2012 |
| FCMAC-BYY: fuzzy CMAC using Bayesian Ying–Yang learning MN Nguyen, D Shi, C Quek IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006 | 56 | 2006 |
| Deep learning for human activity recognition PP San, P Kakar, XL Li, S Krishnaswamy, JB Yang, MN Nguyen Big data analytics for sensor-network collected intelligence, 186-204, 2017 | 35 | 2017 |
| Ensemble based positive unlabeled learning for time series classification MN Nguyen, XL Li, SK Ng Database Systems for Advanced Applications: 17th International Conference …, 2012 | 32 | 2012 |
| Home and work place prediction for urban planning using mobile network data M Dash, HL Nguyen, C Hong, GE Yap, MN Nguyen, X Li, ... 2014 IEEE 15th International Conference on Mobile Data Management 2, 37-42, 2014 | 29 | 2014 |
| A nature inspired Ying–Yang approach for intelligent decision support in bank solvency analysis MN Nguyen, D Shi, C Quek Expert Systems with Applications 34 (4), 2576-2587, 2008 | 22 | 2008 |
| Ensemble based real-time adaptive classification system for intelligent sensing machine diagnostics MN Nguyen, C Bao, KL Tew, SD Teddy, XL Li IEEE Transactions on Reliability 61 (2), 303-313, 2012 | 21 | 2012 |
| Self-organizing gaussian fuzzy CMAC with truth value restriction MN Nguyen, D Shi, C Quek Third International Conference on Information Technology and Applications …, 2005 | 21 | 2005 |
| Fuzzy CMAC with incremental Bayesian ying–yang learning and dynamic rule construction D Shi, MN Nguyen, S Zhou, G Yin IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 19 | 2009 |
| An online Bayesian Ying–Yang learning applied to fuzzy CMAC MN Nguyen, D Shi, J Fu Neurocomputing 72 (1-3), 562-572, 2008 | 15 | 2008 |
| ESOFCMAC: Evolving self-organizing fuzzy cerebellar model articulation controller MN Nguyen, JF Guo, D Shi The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 14 | 2006 |
| Efficient advertisement discovery for audio podcast content using candidate segmentation MN Nguyen, Q Tian, P Xue EURASIP Journal on Audio, Speech, and Music Processing 2010, 1-12, 2010 | 13 | 2010 |
| Predicting near-future churners and win-backs in the telecommunications industry C Phua, H Cao, JB Gomes, MN Nguyen arXiv preprint arXiv:1210.6891, 2012 | 10 | 2012 |
| Traffic prediction using Ying-Yang fuzzy cerebellar model articulation controller MN Nguyen, D Shi, C Quek, GS Ng 18th International Conference on Pattern Recognition (ICPR'06) 3, 258-261, 2006 | 10 | 2006 |
| Stock prediction using fcmac-byy J Fu, KS Lum, MN Nguyen, J Shi Advances in Neural Networks–ISNN 2007: 4th International Symposium on Neural …, 2007 | 9 | 2007 |
| Feature engineering for click fraud detection C Phua, EY Cheu, GE Yap, K Sim, MN Nguyen ACML Workshop on Fraud Detection in Mobile Advertising, 1-10, 2012 | 6 | 2012 |
| Activity Recognition Using a Few Label Samples SK H. Davoudi, X.-L. Li, M. N. Nguyen 18th Pacific-Asia Conference, PAKDD 2014, 521-532, 2014 | 4* | 2014 |
Clifton PhuaDirector of Labs at IMDAVerified email at imda.gov.sg
