| Reducing high-dimensional data by principal component analysis vs. random projection for nearest neighbor classification S Deegalla, H Bostrom 2006 5th International Conference on Machine Learning and Applications …, 2006 | 124 | 2006 |
| Classification of microarrays with knn: comparison of dimensionality reduction methods S Deegalla, H Boström International Conference on Intelligent Data Engineering and Automated …, 2007 | 49 | 2007 |
| Students behavioural analysis in an online learning environment using data mining IP Ratnapala, RG Ragel, S Deegalla 7th International Conference on Information and Automation for …, 2014 | 33 | 2014 |
| Personalized and adaptive user interface framework for mobile application M Nivethika, I Vithiya, S Anntharshika, S Deegalla 2013 International Conference on Advances in Computing, Communications and …, 2013 | 28 | 2013 |
| An automatic answering system with template matching for natural language questions T Gunawardena, M Lokuhetti, N Pathirana, R Ragel, S Deegalla 2010 Fifth International Conference on Information and Automation for …, 2010 | 28 | 2010 |
| AntiPlag: Plagiarism detection on electronic submissions of text based assignments MAC Jiffriya, MACA Jahan, RG Ragel, S Deegalla 2013 IEEE 8th International Conference on Industrial and Information Systems …, 2013 | 24 | 2013 |
| Fusion of Colour, Shape and Texture Features for Content Based Image Retrieval P Anantharatnasamy, K Sriskandaraja, V Nandakumar, S Deegalla 8th International Conference on Computer Science and Education (ICCSE), 422--427, 2013 | 24 | 2013 |
| Performance evaluation techniques for an automatic question answering system T Gunawardena, N Pathirana, M Lokuhetti, R Ragel, S Deegalla International Journal of Machine Learning and Computing 5 (4), 294, 2015 | 10 | 2015 |
| Improving fusion of dimensionality reduction methods for nearest neighbor classification S Deegalla, H Boström 2009 International Conference on Machine Learning and Applications, 771-775, 2009 | 10 | 2009 |
| Identifying the optimal set of attributes that impose high impact on the end results of a cricket match using machine learning P Somaskandhan, G Wijesinghe, LB Wijegunawardana, ... 2017 IEEE International Conference on Industrial and Information Systems …, 2017 | 9 | 2017 |
| Choice of Dimensionality Reduction Methods for Feature and Classifier Fusion with Nearest Neighbor Classifiers S Deegalla, H Bostrom, K Walgama 15th International Conference on Information Fusion, 875--881, 2012 | 7 | 2012 |
| Fusion of dimensionality reduction methods: a case study in microarray classification S Deegalla, H Bostrom 2009 12th International Conference on Information Fusion, 460-465, 2009 | 7 | 2009 |
| Accelerating k-nn classification algorithm using graphics processing units S Selvaluxmiy, TN Kumara, P Keerthanan, R Velmakivan, R Ragel, ... 2016 IEEE International Conference on Information and Automation for …, 2016 | 4 | 2016 |
| An accurate mathematical model predicting number of dengue cases in tropics C Edussuriya, S Deegalla, I Gawarammana PLoS Neglected Tropical Diseases 15 (11), e0009756, 2021 | 1 | 2021 |
| Feasibility of using machine learning to access control in Squid proxy server K Ihalagedara, R Kithuldeniya, S Weerasekara, S Deegalla 2015 IEEE 10th International Conference on Industrial and Information …, 2015 | 1 | 2015 |
| Random subspace and random projection nearest neighbor ensembles for high dimensional data S Deegalla, K Walgama, P Papapetrou, H Boström Expert systems with applications 191, 116078, 2022 | | 2022 |
| Ensemble Stock Market Prediction using SVM, LSTM, and Linear Regression A Indika, N Warusamana, E Welika, S Deegalla TechRxiv, 2021 | | 2021 |
| Objectively Measure Player Performance on Olympic Weightlifting A Karunaratne, C Jayasooriya, S Deegalla, R Navarathna 2021 10th International Conference on Information and Automation for …, 2021 | | 2021 |
| Data Mining System for Predicting a Winning Cricket Team D Hasanika, R Dilhara, D Liyanage, A Bandaranayake, S Deegalla 2021 IEEE 16th International Conference on Industrial and Information …, 2021 | | 2021 |
| Students Behavioural Analysis in an Online Learning Environment Using Data Mining (ICIAfS) IP Ratnapala, RG Ragel, S Deegalla arXiv preprint arXiv:1412.7813, 2014 | | 2014 |
Roshan G RagelProfessor, Computer Engineering, University of PeradeniyaVerifierad e-postadress på eng.pdn.ac.lk
