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ORCIDSampath Deegalla
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2020 – today
- 2022
[j1]Sampath Deegalla
, Keerthi Walgama, Panagiotis Papapetrou, Henrik Boström:
Random subspace and random projection nearest neighbor ensembles for high dimensional data. Expert Syst. Appl. 191: 116078 (2022)- 2021
- [c9]Dinithi Hasanika, Roshani Dilhara, Dulanjali Liyanage, Asitha Bandaranayake, Sampath Deegalla:
Data Mining System for Predicting a Winning Cricket Team. ICIIS 2021: 92-97
2010 – 2019
- 2017
- [c8]Pranavan Somaskandhan, Gihan Wijesinghe, Leshan Bashitha Wijegunawardana, Asitha Bandaranayake, Sampath Deegalla:
Identifying the optimal set of attributes that impose high impact on the end results of a cricket match using machine learning. ICIIS 2017: 1-6 - 2015
- [c7]Kanchana Ihalagedara, Rajitha Kithuldeniya, Supun Weerasekara, Sampath Deegalla:
Feasibility of using machine learning to access control in Squid proxy server. ICIIS 2015: 491-494 - 2014
- [i2]M. A. C. Jiffriya, M. A. C. Akmal Jahan, Roshan G. Ragel, Sampath Deegalla:
AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based Assignments. CoRR abs/1403.1310 (2014) - [i1]I. P. Ratnapala, Roshan G. Ragel, Sampath Deegalla:
Students Behavioural Analysis in an Online Learning Environment Using Data Mining (ICIAfS). CoRR abs/1412.7813 (2014) - 2013
- [c6]Mahasivam Nivethika, Ilanthalaisingam Vithiya, Sebastiankularatnam Anntharshika, Sampath Deegalla:
Personalized and adaptive user interface framework for mobile application. ICACCI 2013: 1913-1918 - 2012
- [c5]Sampath Deegalla, Henrik Boström, Keerthi Walgama:
Choice of dimensionality reduction methods for feature and classifier fusion with nearest neighbor classifiers. FUSION 2012: 875-881
2000 – 2009
- 2009
- [c4]Sampath Deegalla, Henrik Boström:
Fusion of dimensionality reduction methods: A case study in microarray classification. FUSION 2009: 460-465 - [c3]Sampath Deegalla, Henrik Boström:
Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification. ICMLA 2009: 771-775 - 2007
- [c2]Sampath Deegalla, Henrik Boström:
Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods. IDEAL 2007: 800-809 - 2006
- [c1]Sampath Deegalla, Henrik Boström:
Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification. ICMLA 2006: 245-250
Coauthor Index
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