Mahinda Mailagaha Kumbure

Orcid: 0000-0002-2849-4917

According to our database1, Mahinda Mailagaha Kumbure authored at least 8 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Causal maps in the analysis and unsupervised assessment of the development of expert knowledge: Quantification of the learning effects for knowledge management purposes.
Expert Syst. Appl., February, 2024

NNAWA: A Granular Nearest Neighbor Imputation Technique Based on Alpha-Weighted Average.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023
A toolset for unsupervised assessment of learning outcomes>.
Softw. Impacts, November, 2023

2022
Machine learning techniques and data for stock market forecasting: A literature review.
Expert Syst. Appl., 2022

2021
A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Using the generalized fuzzy k-nearest neighbor classifier for biomass feedstocks classification.
Proceedings of the Recent Advances in Business Analytics. Selected papers of the 2021 KNOWCON-NSAIS workshop on Business Analytics, 2021

2020
A new fuzzy <i>k</i>-nearest neighbor classifier based on the Bonferroni mean.
Pattern Recognit. Lett., 2020

2019
An Enhancement of Fuzzy K-Nearest Neighbor Classifier Using Multi-Local Power Means.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019


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