| Deep convolutional neural networks on multichannel time series for human activity recognition. J Yang, MN Nguyen, PP San, X Li, S Krishnaswamy Ijcai 15, 3995-4001, 2015 | 1517 | 2015 |
| Mining data streams: a review MM Gaber, A Zaslavsky, S Krishnaswamy ACM Sigmod Record 34 (2), 18-26, 2005 | 1390 | 2005 |
| Rank-geofm: A ranking based geographical factorization method for point of interest recommendation X Li, G Cong, XL Li, TAN Pham, S Krishnaswamy Proceedings of the 38th international ACM SIGIR conference on research and …, 2015 | 436 | 2015 |
| An overview of state-of-the-art partial discharge analysis techniques for condition monitoring M Wu, H Cao, J Cao, HL Nguyen, JB Gomes, SP Krishnaswamy IEEE electrical insulation magazine 31 (6), 22-35, 2015 | 295 | 2015 |
| Verity: a QoS metric for selecting web services and providers S Kalepu, S Krishnaswamy, SW Loke Fourth International Conference on Web Information Systems Engineering …, 2003 | 251 | 2003 |
| Using on-the-move mining for mobile crowdsensing W Sherchan, PP Jayaraman, S Krishnaswamy, A Zaslavsky, S Loke, ... 2012 IEEE 13th International Conference on Mobile Data Management, 115-124, 2012 | 171 | 2012 |
| Adaptive mobile activity recognition system with evolving data streams ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy Neurocomputing 150, 304-317, 2015 | 145 | 2015 |
| A survey of classification methods in data streams MM Gaber, A Zaslavsky, S Krishnaswamy Data Streams: Models and Algorithms, 39-59, 2007 | 140 | 2007 |
| Reputation= f (user ranking, compliance, verity) S Kalepu, S Krishnaswamy, SW Loke Proceedings. IEEE International Conference on Web Services, 2004., 200-207, 2004 | 137 | 2004 |
| Activity recognition with evolving data streams: A review ZS Abdallah, MM Gaber, B Srinivasan, S Krishnaswamy ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018 | 114 | 2018 |
| Reasoning about context in uncertain pervasive computing environments P Delir Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber Smart Sensing and Context: Third European Conference, EuroSSC 2008, Zurich …, 2008 | 96 | 2008 |
| Predicting reasoning performance using ontology metrics YB Kang, YF Li, S Krishnaswamy International Semantic Web Conference, 198-214, 2012 | 88 | 2012 |
| Estimating computation times of data-intensive applications S Krishnaswamy, SW Loke, A Zaslavsky IEEE Distributed Systems Online 5 (4), 2004 | 84 | 2004 |
| A fuzzy model for reasoning about reputation in web services W Sherchan, SW Loke, S Krishnaswamy Proceedings of the 2006 ACM symposium on Applied computing, 1886-1892, 2006 | 83 | 2006 |
| Collision pattern modeling and real-time collision detection at road intersections FD Salim, SW Loke, A Rakotonirainy, B Srinivasan, S Krishnaswamy 2007 IEEE Intelligent transportation systems conference, 161-166, 2007 | 81 | 2007 |
| On-board mining of data streams in sensor networks S Bandyopadhyay, U Maulik, LB Holder, DJ Cook, MM Gaber, ... Advanced methods for knowledge discovery from complex data, 307-335, 2005 | 81 | 2005 |
| Data stream mining MM Gaber, A Zaslavsky, S Krishnaswamy Data mining and knowledge discovery handbook, 759-787, 2010 | 78 | 2010 |
| Cost-efficient mining techniques for data streams MM Gaber, S Krishnaswamy, A Zaslavsky Australasian Workshop on Data Mining and Web Intelligence: 17/12/2004 32 …, 2004 | 78 | 2004 |
| Mars: a personalised mobile activity recognition system JB Gomes, S Krishnaswamy, MM Gaber, PAC Sousa, E Menasalvas 2012 IEEE 13th International Conference on Mobile Data Management, 316-319, 2012 | 77 | 2012 |
| 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 | 75 | 2012 |
