| A novel online ensemble approach to handle concept drifting data streams: diversified dynamic weighted majority P Sidhu, MPS Bhatia International Journal of Machine Learning and Cybernetics 9, 37-61, 2018 | 44 | 2018 |
| A cluster-based approach for outlier detection in dynamic data streams (KORM: k-median outlier miner) P Dhaliwal, MPS Bhatia, P Bansal arXiv preprint arXiv:1002.4003, 2010 | 43 | 2010 |
| An investigation of strategies for finding test order during integration testing of object oriented applications P Bansal, S Sabharwal, P Sidhu 2009 Proceeding of International Conference on Methods and Models in …, 2009 | 25 | 2009 |
| An online ensembles approach for handling concept drift in data streams: diversified online ensembles detection P Sidhu, MPS Bhatia International Journal of Machine Learning and Cybernetics 6 (6), 883-909, 2015 | 21 | 2015 |
| A two ensemble system to handle concept drifting data streams: recurring dynamic weighted majority P Sidhu, MPS Bhatia International journal of machine learning and cybernetics 10, 563-578, 2019 | 16 | 2019 |
| Blockchain: the perspective future of technology R Sapra, P Dhaliwal International Journal of Healthcare Information Systems and Informatics …, 2021 | 13 | 2021 |
| An approach for concept drifting streams: early dynamic weighted majority P Dhaliwal, A Kumar, P Chaudhary Procedia Computer Science 167, 2653-2661, 2020 | 12 | 2020 |
| Blockchain: the new era of technology R Sapra, P Dhaliwal 2018 fifth international conference on parallel, distributed and grid …, 2018 | 9 | 2018 |
| Effective handling of recurring concept drifts in data streams P Dhaliwal, MPS Bhatia Indian Journal of Science and Technology, 2017 | 8 | 2017 |
| A novel online ensemble approach for concept drift in data streams P Sidhu, MPS Bhatia, A Bindal 2013 IEEE Second International Conference on Image Information Processing …, 2013 | 8 | 2013 |
| A blockchain solution for the privacy of patients’ medical data R Sapra, P Dhaliwal Machine Learning, Big Data, and IoT for Medical Informatics, 327-347, 2021 | 7 | 2021 |
| Empirical support for concept drifting approaches: Results based on new performance metrics P Sidhu, MPS Bhatia International Journal of Intelligent Systems and Applications 7 (6), 1, 2015 | 6 | 2015 |
| Empirical Support for Concept Drifting Approaches: Results Based on New Performance Metrics P Sidhu, MPS Bhatia International Journal of Intelligent Systems and Applications 7 (6), 1-20, 2015 | 6 | 2015 |
| Extended dynamic weighted majority using diversity to handle drifts P Sidhu, MPS Bhatia New Trends in Databases and Information Systems: 17th East European …, 2014 | 5 | 2014 |
| Detailed study of wine dataset and its optimization P Dhaliwal, S Sharma, L Chauhan Int. J. Intell. Syst. Appl.(IJISA) 14 (5), 35-46, 2022 | 4 | 2022 |
| Online Approach to Handle Concept Drifting Data Streams using Diversity P Sidhu, MPS Bhatia IAJIT 7, 2017 | 4 | 2017 |
| Empirical support for weighted Majority, Early drift detection method and dynamic weighted majority P Sidhu, MPS Bhatia, A Bindal 2013 International Conference on Machine Intelligence and Research …, 2013 | 3 | 2013 |
| Behavioural evidence analysis: a paradigm shift in digital forensics B Shree, P Dhaliwal International Journal of Digital Crime and Forensics (IJDCF) 13 (5), 20-42, 2021 | 2 | 2021 |
| Blockchain for Security Issues of Internet of Things (IoT) R Sapra, P Dhaliwal Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm, 599-626, 2020 | 2 | 2020 |
| Computational Intelligence in Analytics and Information Systems: 2-volume set P Dhaliwal, M Kaur, HK Thakur, RK Arya, J Lu International Conference on Computational Intelligence in Analytics and …, 2023 | 1 | 2023 |
