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ORCIDMahinda Mailagaha Kumbure
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2020 – today
- 2024
[j4]Mahinda Mailagaha Kumbure
, Anssi Tarkiainen, Jan Stoklasa, Pasi Luukka, Ari Jantunen:
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. 236: 121232 (2024)- [c4]Pasi Luukka, Jan Stoklasa, Mahinda Mailagaha Kumbure:
NNAWA: A Granular Nearest Neighbor Imputation Technique Based on Alpha-Weighted Average. FUZZ 2024: 1-6 - 2023
- [j3]Mahinda Mailagaha Kumbure, Jan Stoklasa, Pasi Luukka, Anssi Tarkiainen, Ari Jantunen:
A toolset for unsupervised assessment of learning outcomes>. Softw. Impacts 18: 100587 (2023) - 2022
- [j2]Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka, Jari Porras:
Machine learning techniques and data for stock market forecasting: A literature review. Expert Syst. Appl. 197: 116659 (2022) - 2021
- [c3]Mahinda Mailagaha Kumbure, Pasi Luukka:
Using the generalized fuzzy k-nearest neighbor classifier for biomass feedstocks classification. KNOWCON 2021: 29-35 - [c2]Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka:
A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach. LOD 2021: 93-104 - 2020
- [j1]Mahinda Mailagaha Kumbure, Pasi Luukka, Mikael Collan:
A new fuzzy k-nearest neighbor classifier based on the Bonferroni mean. Pattern Recognit. Lett. 140: 172-178 (2020)
2010 – 2019
- 2019
- [c1]Mahinda Mailagaha Kumbure, Pasi Luukka, Mikael Collan:
An Enhancement of Fuzzy K-Nearest Neighbor Classifier Using Multi-Local Power Means. EUSFLAT Conf. 2019
Coauthor Index
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