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Przemysław Juszczuk
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Predictive capabilities of adaptive and evolutionary fuzzy cognitive maps-a comparative study
W Froelich, P Juszczuk
Intelligent systems for knowledge management, 153-174, 2009
582009
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
342021
Learning fuzzy cognitive maps using a differential evolution algorithm
P Juszczuk, W Froelich
Pol. J. Environ. Stud 12 (3B), 108, 2009
282009
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
132020
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
122021
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
122016
A comparative study of various strategies in differential evolution
U Boryczka, P Juszczuk, L Kłosowicz
Prace Naukowe Politechniki Warszawskiej. Elektronika, 19-26, 2009
122009
Soft multicriteria computing supporting decisions on the Forex market
P Juszczuk, L Kruś
Applied Soft Computing 96, 106654, 2020
112020
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
112020
Solving the sudoku with the differential evolution
U Boryczka, P Juszczuk
Zeszyty Naukowe Politechniki Białostockiej. Informatyka, 5-16, 2012
112012
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
82018
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
72023
Differential evolution as a new method of computing Nash equilibria
U Boryczka, P Juszczuk
Transactions on Computational Collective Intelligence IX, 192-216, 2013
72013
Preference-driven classification measure
J Kozak, B Probierz, K Kania, P Juszczuk
Entropy 24 (4), 531, 2022
62022
Trade-off guided search for approximate pareto optimal portfolios
P Juszczuk, I Kaliszewski, J Miroforidis
Multiple Criteria Decision Making 12, 49-59, 2017
62017
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
52020
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
52017
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
42022
Paradygmat programowania proceduralnego w procesie budowy systemów automatycznych bazujących na średnich kroczących
P Juszczuk, J Kozak
Studia Informatica Pomerania 39, 25-35, 2016
42016
Adaptive goal function of ant colony optimization in fake news detection
B Probierz, J Kozak, P Stefański, P Juszczuk
Computational Collective Intelligence: 13th International Conference, ICCCI …, 2021
32021
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