| Dynamic self-organizing maps with controlled growth for knowledge discovery D Alahakoon, SK Halgamuge, B Srinivasan IEEE Transactions on neural networks 11 (3), 601-614, 2000 | 695 | 2000 |
| Minority report in fraud detection: classification of skewed data C Phua, D Alahakoon, V Lee Acm sigkdd explorations newsletter 6 (1), 50-59, 2004 | 629 | 2004 |
| Smart electricity meter data intelligence for future energy systems: A survey D Alahakoon, X Yu IEEE Transactions on Industrial Informatics 12 (1), 425-436, 2015 | 501 | 2015 |
| Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading S Nguyen, W Peng, P Sokolowski, D Alahakoon, X Yu Applied Energy 228, 2567-2580, 2018 | 158 | 2018 |
| A data mining framework for electricity consumption analysis from meter data D De Silva, X Yu, D Alahakoon, G Holmes IEEE Transactions on Industrial Informatics 7 (3), 399-407, 2011 | 123 | 2011 |
| A comprehensive conceptual model for disaster management S Asghar, D Alahakoon, L Churilov Journal of Humanitarian Assistance 1360 (0222), 1-15, 2006 | 115 | 2006 |
| Online incremental machine learning platform for big data-driven smart traffic management D Nallaperuma, R Nawaratne, T Bandaragoda, A Adikari, S Nguyen, ... IEEE Transactions on Intelligent Transportation Systems 20 (12), 4679-4690, 2019 | 106 | 2019 |
| Spatiotemporal anomaly detection using deep learning for real-time video surveillance R Nawaratne, D Alahakoon, D De Silva, X Yu IEEE Transactions on Industrial Informatics 16 (1), 393-402, 2019 | 104 | 2019 |
| Improving the adaptability in automated vessel scheduling in container ports using intelligent software agents P Lokuge, D Alahakoon European Journal of Operational Research 177 (3), 1985-2015, 2007 | 78 | 2007 |
| Advanced analytics for harnessing the power of smart meter big data D Alahakoon, X Yu 2013 IEEE International Workshop on Inteligent Energy Systems (IWIES), 40-45, 2013 | 70 | 2013 |
| Machine learning to support social media empowered patients in cancer care and cancer treatment decisions D De Silva, W Ranasinghe, T Bandaragoda, A Adikari, N Mills, ... PloS one 13 (10), e0205855, 2018 | 56 | 2018 |
| A scalable method for time series clustering X Wang, KA Smith, R Hyndman, D Alahakoon Proc. Unrefereed Res. Papers 1, 2004 | 56 | 2004 |
| A self-growing cluster development approach to data mining D Alahakoon, SK Halgamuge, B Srinivasan SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems …, 1998 | 50 | 1998 |
| A data integration platform for patient-centered e-healthcare and clinical decision support M Jayaratne, D Nallaperuma, D De Silva, D Alahakoon, B Devitt, ... Future Generation Computer Systems 92, 996-1008, 2019 | 46 | 2019 |
| Cancer in lockdown: impact of the COVID‐19 pandemic on patients with cancer H Moraliyage, D De Silva, W Ranasinghe, A Adikari, D Alahakoon, ... The oncologist 26 (2), e342-e344, 2021 | 44 | 2021 |
| A structure adapting feature map for optimal cluster representation D Alahakoon, SK Halgamuge, B Srinivasan International Conference on Neural Information Processing 1998, 809-812, 1998 | 43 | 1998 |
| HDGSOM: a modified growing self-organizing map for high dimensional data clustering R Amarasiri, D Alahakoon, KA Smith Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 216-221, 2004 | 41 | 2004 |
| Self-evolving intelligent algorithms for facilitating data interoperability in IoT environments R Nawaratne, D Alahakoon, D De Silva, P Chhetri, N Chilamkurti Future Generation Computer Systems 86, 421-432, 2018 | 38 | 2018 |
| Controlling the spread of dynamic self organising maps LD Alahakoon Intelligent Systems Design and Applications, 621-630, 2003 | 36 | 2003 |
| Incremental knowledge acquisition and self learning from text D De Silva, D Alahakoon The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 35 | 2010 |
Daswin De SilvaCentre for Data Analytics and Cognition, La Trobe UniversityVerified email at ieee.org
