| Machine learning techniques and data for stock market forecasting: A literature review MM Kumbure, C Lohrmann, P Luukka, J Porras Expert Systems with Applications 197, 116659, 2022 | 220 | 2022 |
| A new fuzzy k-nearest neighbor classifier based on the Bonferroni mean MM Kumbure, P Luukka, M Collan Pattern Recognition Letters 140, 172-178, 2020 | 66 | 2020 |
| Relation between managerial cognition and industrial performance: An assessment with strategic cognitive maps using fuzzy-set qualitative comparative analysis MM Kumbure, A Tarkiainen, P Luukka, J Stoklasa, A Jantunen Journal of Business Research 114, 160-172, 2020 | 36 | 2020 |
| A generalized fuzzy k-nearest neighbor regression model based on Minkowski distance M Mailagaha Kumbure, P Luukka Granular Computing 7 (3), 657-671, 2022 | 26 | 2022 |
| An enhancement of fuzzy k-nearest neighbor classifier using multi-local power means MM Kumbure, P Luukka, M Collan 11th Conference of the European Society for Fuzzy Logic and Technology …, 2019 | 6 | 2019 |
| An investigation of hidden shared linkages among perceived causal relationships in cognitive maps M Mailagaha Kumbure, P Luukka, A Tarkiainen, J Stoklasa, A Jantunen Intelligent systems and applications in business and finance, 17-36, 2022 | 5 | 2022 |
| Causal maps in the analysis and unsupervised assessment of the development of expert knowledge: Quantification of the learning effects for knowledge management purposes MM Kumbure, A Tarkiainen, J Stoklasa, P Luukka, A Jantunen Expert Systems with Applications 236, 121232, 2024 | 3 | 2024 |
| A Study on Relevant Features for Intraday S&P 500 Prediction Using a Hybrid Feature Selection Approach M Mailagaha Kumbure, C Lohrmann, P Luukka International Conference on Machine Learning, Optimization, and Data Science …, 2021 | 1 | 2021 |
| A toolset for unsupervised assessment of learning outcomes MM Kumbure, J Stoklasa, P Luukka, A Tarkiainen, A Jantunen Software Impacts 18, 100587, 2023 | | 2023 |
| Novel fuzzy k-nearest neighbor methods for effective classification and regression M Mailagaha Kumbure Lappeenranta-Lahti University of Technology LUT, 2022 | | 2022 |
| Using the generalized fuzzy k-nearest neighbor classifier for biomass feedstocks classification. MM Kumbure, P Luukka KNOWCON, 29-35, 2021 | | 2021 |
| Examining cognitive maps using distance ratios, performance evaluations and fuzzy consistency and coverage measures MM Kumbure | | 2018 |
| Causal Maps in the Analysis and Unsupervised Assessment of the Development of Expert Knowledge: Quantification of the Learning Effects for Knowledge Management Purposes M Mailagaha Kumbure, A Tarkiainen, J Stoklasa, P Luukka, A Jantunen Anssi and Stoklasa, Jan and Luukka, Pasi and Jantunen, Ari, Causal Maps in …, 0 | | |
