An Enhancement of Fuzzy K-Nearest Neighbor Classifier Using Multi-Local Power Means. - Mahinda Mailagaha Kumbure; Pasi Luukka; Mikael Collan (EUSFLAT Conf., 2019)

A new fuzzy k-nearest neighbor classifier based on the Bonferroni mean. - Mahinda Mailagaha Kumbure; Pasi Luukka; Mikael Collan (Pattern Recognit. Lett., 2020)

Using the generalized fuzzy k-nearest neighbor classifier for biomass feedstocks classification. - Mahinda Mailagaha Kumbure; Pasi Luukka (KNOWCON, 2021)

A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach. - Mahinda Mailagaha Kumbure; Christoph Lohrmann; Pasi Luukka (LOD, 2021)

Machine learning techniques and data for stock market forecasting: A literature review. - Mahinda Mailagaha Kumbure; Christoph Lohrmann; Pasi Luukka; Jari Porras (Expert Syst. Appl., 2022)

A toolset for unsupervised assessment of learning outcomes>. - Mahinda Mailagaha Kumbure; Jan Stoklasa; Pasi Luukka; Anssi Tarkiainen; Ari Jantunen (Softw. Impacts, 2023)

NNAWA: A Granular Nearest Neighbor Imputation Technique Based on Alpha-Weighted Average. - Pasi Luukka; Jan Stoklasa; Mahinda Mailagaha Kumbure (FUZZ, 2024)

Causal maps in the analysis and unsupervised assessment of the development of expert knowledge: Quantification of the learning effects for knowledge management purposes. - Mahinda Mailagaha Kumbure; Anssi Tarkiainen; Jan Stoklasa; Pasi Luukka; Ari Jantunen (Expert Syst. Appl., 2024)

On the benefit of feature selection and ensemble feature selection for fuzzy k-nearest neighbor classification. - Christoph Lohrmann; Alena Lohrmann; Mahinda Mailagaha Kumbure (Appl. Soft Comput., 2025)

Generalizing fuzzy k-nearest neighbor classifier using an OWA operator with a RIM quantifier. - Mahinda Mailagaha Kumbure; Pasi Luukka (Expert Syst. Appl., 2025)