| A review of methods for imbalanced multi-label classification AN Tarekegn, M Giacobini, K Michalak Pattern Recognition 118, 107965, 2021 | 357 | 2021 |
| Feature selection in corporate credit rating prediction P Hajek, K Michalak Knowledge-Based Systems 51, 72-84, 2013 | 157 | 2013 |
| Graph mining approach to suspicious transaction detection K Michalak, J Korczak 2011 Federated conference on computer science and information systems …, 2011 | 73 | 2011 |
| Correlation-based feature selection strategy in classification problems K Michalak, H Kwaśnicka International Journal of Applied Mathematics and Computer Science 16 (4 …, 2006 | 73 | 2006 |
| Correlation based feature selection method K Michalak, H Kwasnicka International Journal of Bio-Inspired Computation 2 (5), 319-332, 2010 | 67 | 2010 |
| Correlation-based feature selection strategy in neural classification K Michalak, H Kwasnicka Sixth international conference on intelligent systems design and …, 2006 | 47 | 2006 |
| Low-dimensional euclidean embedding for visualization of search spaces in combinatorial optimization K Michalak Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 34 | 2019 |
| Cross-validation approach to evaluate clustering algorithms: An experimental study using multi-label datasets AN Tarekegn, K Michalak, M Giacobini SN Computer Science 1, 1-9, 2020 | 23 | 2020 |
| The Sim-EA algorithm with operator autoadaptation for the multiobjective firefighter problem K Michalak Evolutionary Computation in Combinatorial Optimization: 15th European …, 2015 | 23 | 2015 |
| Auto-adaptation of genetic operators for multi-objective optimization in the firefighter problem K Michalak Intelligent Data Engineering and Automated Learning–IDEAL 2014: 15th …, 2014 | 21 | 2014 |
| Simheuristics for the multiobjective nondeterministic firefighter problem in a time-constrained setting K Michalak, JD Knowles European Conference on the Applications of Evolutionary Computation, 248-265, 2016 | 20 | 2016 |
| The effects of asymmetric neighborhood assignment in the MOEA/D algorithm K Michalak Applied Soft Computing 25, 97-106, 2014 | 17 | 2014 |
| Prediction of high increases in stock prices using neural networks K Michalak, P Lipinski Neural Network World 15 (4), 359, 2005 | 16 | 2005 |
| ED-LS–A heuristic local search for the multiobjective Firefighter Problem K Michalak Applied Soft Computing 59, 389-404, 2017 | 13 | 2017 |
| Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems K Michalak Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 13 | 2017 |
| Infeasibility driven evolutionary algorithm with ARIMA-based prediction mechanism P Filipiak, K Michalak, P Lipinski Intelligent Data Engineering and Automated Learning-IDEAL 2011: 12th …, 2011 | 10 | 2011 |
| Estimation of distribution algorithms for the firefighter problem K Michalak Evolutionary Computation in Combinatorial Optimization: 17th European …, 2017 | 8 | 2017 |
| Improving the NSGA-II performance with an external population K Michalak Intelligent Data Engineering and Automated Learning–IDEAL 2015: 16th …, 2015 | 8 | 2015 |
| Does the default pecking order impact systemic risk? Evidence from Brazilian data M Alexandre, TC Silva, K Michalak, FA Rodrigues European Journal of Operational Research 309 (3), 1379-1391, 2023 | 7 | 2023 |
| Evolutionary algorithm using random immigrants for the multiobjective travelling salesman problem K Michalak Procedia Computer Science 192, 1461-1470, 2021 | 7 | 2021 |
