Sampath Deegalla

Orcid: 0000-0003-1100-8334

According to our database1, Sampath Deegalla authored at least 12 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Random subspace and random projection nearest neighbor ensembles for high dimensional data.
Expert Syst. Appl., 2022

2021
Data Mining System for Predicting a Winning Cricket Team.
Proceedings of the 16th International Conference on Industrial and Information Systems, 2021

2017
Identifying the optimal set of attributes that impose high impact on the end results of a cricket match using machine learning.
Proceedings of the 2017 IEEE International Conference on Industrial and Information Systems, 2017

2015
Feasibility of using machine learning to access control in Squid proxy server.
Proceedings of the 10th IEEE International Conference on Industrial and Information Systems, 2015

2014
Students Behavioural Analysis in an Online Learning Environment Using Data Mining (ICIAfS).
CoRR, 2014

AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based Assignments.
CoRR, 2014

2013
Personalized and adaptive user interface framework for mobile application.
Proceedings of the International Conference on Advances in Computing, 2013

2012
Choice of dimensionality reduction methods for feature and classifier fusion with nearest neighbor classifiers.
Proceedings of the 15th International Conference on Information Fusion, 2012

2009
Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Fusion of dimensionality reduction methods: A case study in microarray classification.
Proceedings of the 12th International Conference on Information Fusion, 2009

2007
Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006
Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification.
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006


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