| 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 | 45 | 2004 |
| HDGSOMr: a high dimensional growing self-organizing map using randomness for efficient web and text mining R Amarasiri, D Alahakoon, K Smith, M Premaratne The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05 …, 2005 | 24 | 2005 |
| Enhanced cluster visualization using the data skeleton model R Amarasiri, LK Wickramasinghe, LD Alahakoon Intelligent Systems Design and Applications, 539-548, 2003 | 20 | 2003 |
| A Hybrid Intelligent Multiagent System for E‐Business LK Wickramasinghe, R Amarasiri, LD Alahakoon Computational Intelligence 20 (4), 603-623, 2004 | 17 | 2004 |
| Applying dynamic self organizing maps for identifying changes in data sequences R Amarasiri, D Alahakoon Design and application of hybrid intelligent systems, 682-691, 2003 | 13 | 2003 |
| Exploratory data mining lead by text mining using a novel high dimensional clustering algorithm R Amarasiri, J Ceddia, D Alahakoon Fourth International Conference on Machine Learning and Applications (ICMLA …, 2005 | 12 | 2005 |
| Applications of the growing self organizing map in high dimensional data R Amarasiri, D Alahakoon, K Smith Proceedings of the International Information Technology Conference (IITC) 2004, 2004 | 11 | 2004 |
| Enhancing clustering performance of feature maps using randomness R Amarasiri, D Alahakoon, M Premaratne, K Smith 5th Workshop on Self-Organizing Maps, WSOM 2005, 463-470, 2005 | 10 | 2005 |
| Exploring the clinical notes of pathology ordering by Australian general practitioners: a text mining perspective ZY Zhuang, R Amarasiri, L Churilov, D Alahakoon, K Sikaris 2007 40th Annual Hawaii International Conference on System Sciences (HICSS …, 2007 | 5 | 2007 |
| Exploring the use of machine learning for the assessment of skeletal fracture morphology and differentiation between impact mechanisms: A pilot study N Dempsey, R Bassed, R Amarasiri, S Blau Journal of forensic sciences 67 (2), 683-696, 2022 | 3 | 2022 |
| Clustering massive high dimensional data with dynamic feature maps R Amarasiri, D Alahakoon, K Smith-Miles Neural Information Processing: 13th International Conference, ICONIP 2006 …, 2006 | 3 | 2006 |
| Techniques for Secure Electronic Transactions R Amarasiri, G Dias Proc. of ERU Symposium, Department of Computer Science & Engineering …, 1999 | 3 | 1999 |
| The effect of random weight updation in dynamic self organizing maps R Amarasiri, D Alahakoon, M Premarathne 2006 International Conference on Information and Automation, 183-188, 2006 | 1 | 2006 |
| e-Research Practices, Barriers and Needs for Support: An Accounting and Finance Perspective R Amarasiri, R Kober eResearch Australasia 2010, 2010 | | 2010 |
| Role of Information and Order imbalance on Stock Price Movements: Visualization Challenge Entry R Amarasiri, VB Marisetty | | 2009 |
| Efficient High Dimensional Data Mining with Dynamic Feature Maps R Amarasiri Monash University, 2006 | | 2006 |
| Building a cluster of intelligent, adaptive web sites R Amarasiri, D Alahakoon Neural Computing & Applications 13, 149-156, 2004 | | 2004 |
| Web based domain registration and payment system for the LK domain registry R Amarasiri | | 2002 |
| A Cost Effective Method of Executing MATLAB Code in Parallel on Grid Architectures R Amarasiri, B Do | | |
| Dynamic PubMed: Self-updating software for PubMed bibliometric research K Mendis, R Amarasiri | | |
Damminda AlahakoonProfessor, La Trobe UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα latrobe.edu.au
