Predictive capabilities of adaptive and evolutionary fuzzy cognitive maps-a comparative study W Froelich, P Juszczuk Intelligent systems for knowledge management, 153-174, 2009 | 58 | 2009 |
Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management J Kozak, K Kania, P Juszczuk, M Mitręga International journal of information management 60, 102357, 2021 | 45 | 2021 |
Learning fuzzy cognitive maps using a differential evolution algorithm P Juszczuk, W Froelich Pol. J. Environ. Stud 12 (3B), 108, 2009 | 29 | 2009 |
Using similarity measures in prediction of changes in financial market stream data—Experimental approach P Juszczuk, J Kozak, K Kania Data & Knowledge Engineering 125, 101782, 2020 | 17 | 2020 |
Real-world data difficulty estimation with the use of entropy P Juszczuk, J Kozak, G Dziczkowski, S Głowania, T Jach, B Probierz Entropy 23 (12), 1621, 2021 | 15 | 2021 |
Soft multicriteria computing supporting decisions on the Forex market P Juszczuk, L Kruś Applied Soft Computing 96, 106654, 2020 | 13 | 2020 |
Geochemistry, petrology and evolutionary computations in the service of archaeology: restoration of the historical smelting process at the Katowice–Szopienice site R Warchulski, P Juszczuk, A Gawȩda Archaeological and Anthropological Sciences, 1-13, 2016 | 13 | 2016 |
Preference-driven classification measure J Kozak, B Probierz, K Kania, P Juszczuk Entropy 24 (4), 531, 2022 | 12 | 2022 |
Permutation entropy as a measure of information gain/loss in the different symbolic descriptions of financial data J Kozak, K Kania, P Juszczuk Entropy 22 (3), 330, 2020 | 12 | 2020 |
A comparative study of various strategies in differential evolution U Boryczka, P Juszczuk, L Kłosowicz Prace Naukowe Politechniki Warszawskiej. Elektronika, 19-26, 2009 | 12 | 2009 |
Solving the sudoku with the differential evolution U Boryczka, P Juszczuk Zeszyty Naukowe Politechniki Białostockiej. Informatyka, 5-16, 2012 | 11 | 2012 |
The ACDF algorithm in the stream data analysis for the bank telemarketing campaign J Kozak, P Juszczuk 2018 5th International Conference on Soft Computing & Machine Intelligence …, 2018 | 8 | 2018 |
Differential evolution as a new method of computing Nash equilibria U Boryczka, P Juszczuk Transactions on Computational Collective Intelligence IX, 192-216, 2013 | 8 | 2013 |
Expected mean return—standard deviation efficient frontier approximation with low‐cardinality portfolios in the presence of the risk‐free asset P Juszczuk, I Kaliszewski, J Miroforidis, D Podkopaev International Transactions in Operational Research 30 (5), 2395-2414, 2023 | 7 | 2023 |
New voting schemas for heterogeneous ensemble of classifiers in the problem of football results prediction S Głowania, J Kozak, P Juszczuk Procedia Computer Science 207, 3393-3402, 2022 | 6 | 2022 |
Association ACDT as a tool for discovering the financial data rules J Kozak, P Juszczuk 2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017 | 6 | 2017 |
Trade-off guided search for approximate pareto optimal portfolios P Juszczuk, I Kaliszewski, J Miroforidis Multiple Criteria Decision Making 12, 49-59, 2017 | 6 | 2017 |
Knowledge Discovery in Databases for a Football Match Result S Głowania, J Kozak, P Juszczuk Electronics 12 (12), 2712, 2023 | 5 | 2023 |
The hybrid ant colony optimization and ensemble method for solving the data stream e-mail foldering problem J Kozak, P Juszczuk, B Probierz Neural Computing and Applications 32, 15429-15443, 2020 | 5 | 2020 |
Paradygmat programowania proceduralnego w procesie budowy systemów automatycznych bazujących na średnich kroczących P Juszczuk, J Kozak Studia Informatica Pomerania 39, 25-35, 2016 | 4 | 2016 |