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2020 – today
- 2024
[c22]Przemyslaw Juszczuk
, Jan Kozak:
Game-Theory Based Voting Schemas for Ensemble of Classifiers. ACIIDS (1) 2024: 241-252- [c21]Tomasz Jach, Barbara Probierz, Jan Kozak, Piotr Stefanski, Grzegorz Dziczkowski, Anita Hrabia, Przemyslaw Juszczuk, Szymon Glowania, Gabriel Wolek, Wojciech Sznapka, Lukasz Swierk, Natalia Joniec:
Identification of Users in a Gambling Problem with the Use of Machine Learning. ACIIDS (2) 2024: 263-274 - [c20]Szymon Glowania, Jan Kozak, Przemyslaw Juszczuk:
A Heterogeneous Ensemble of Classifiers for Sports Betting: Based on the English Premier League. ICCCI (1) 2024: 359-371 - 2023
- [j15]Przemyslaw Juszczuk, Ignacy Kaliszewski, Janusz Miroforidis, Dmitry Podkopaev:
Expected mean return - standard deviation efficient frontier approximation with low-cardinality portfolios in the presence of the risk-free asset. Int. Trans. Oper. Res. 30(5): 2395-2414 (2023) - [c19]Przemyslaw Juszczuk, Jan Kozak:
Goal-Oriented Classification Measure Based on the Game Theory Concepts. ACIIDS (Companion) 2023: 327-338 - [c18]Barbara Probierz, Jan Kozak, Przemyslaw Juszczuk:
Emotion Detection from Text in Social Networks. ACIIDS (1) 2023: 358-370 - [c17]Szymon Glowania, Jan Kozak, Przemyslaw Juszczuk:
Goal-Oriented Classification of Football Results. ICCCI 2023: 782-793 - [c16]Szymon Glowania, Jan Kozak, Przemyslaw Juszczuk:
Dimensionality reduction for real sports data from the German Bundesliga and English Premier League. KES 2023: 4334-4343 - 2022
- [j14]Jan Kozak, Barbara Probierz, Krzysztof Kania, Przemyslaw Juszczuk:
Preference-Driven Classification Measure. Entropy 24(4): 531 (2022) - [c15]Przemyslaw Juszczuk, Jan Kozak:
Portfolio Investments in the Forex Market. ACIIDS (1) 2022: 94-105 - [c14]Szymon Glowania, Jan Kozak, Przemyslaw Juszczuk:
New Voting Schemas for Heterogeneous Ensemble of Classifiers in the Problem of Football Results Prediction. KES 2022: 3393-3402 - 2021
- [j13]Przemyslaw Juszczuk, Jan Kozak, Grzegorz Dziczkowski, Szymon Glowania, Tomasz Jach, Barbara Probierz:
Real-World Data Difficulty Estimation with the Use of Entropy. Entropy 23(12): 1621 (2021) - [j12]Jan Kozak, Krzysztof Kania, Przemyslaw Juszczuk, Maciej Mitrega:
Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management. Int. J. Inf. Manag. 60: 102357 (2021) - [c13]Anita Hrabia, Jan Kozak, Przemyslaw Juszczuk:
Machine Learning in the Context of COVID-19 Pandemic Data Analysis. ICCCI (CCIS Volume) 2021: 361-374 - [c12]Barbara Probierz, Jan Kozak, Piotr Stefanski, Przemyslaw Juszczuk:
Adaptive Goal Function of Ant Colony Optimization in Fake News Detection. ICCCI 2021: 387-400 - 2020
- [j11]Przemyslaw Juszczuk, Lech Krus:
Soft multicriteria computing supporting decisions on the Forex market. Appl. Soft Comput. 96: 106654 (2020) - [j10]Przemyslaw Juszczuk, Jan Kozak, Krzysztof Kania:
Using similarity measures in prediction of changes in financial market stream data - Experimental approach. Data Knowl. Eng. 125: 101782 (2020) - [j9]Jan Kozak, Krzysztof Kania, Przemyslaw Juszczuk:
Permutation Entropy as a Measure of Information Gain/Loss in the Different Symbolic Descriptions of Financial Data. Entropy 22(3): 330 (2020) - [j8]Przemyslaw Juszczuk, Lech Krus:
Supporting Decisions on the Forex Market Using Fuzzy Approach. J. Autom. Mob. Robotics Intell. Syst. 14(2): 50-62 (2020) - [j7]Jan Kozak, Przemyslaw Juszczuk, Barbara Probierz:
The hybrid ant colony optimization and ensemble method for solving the data stream e-mail foldering problem. Neural Comput. Appl. 32(19): 15429-15443 (2020)
2010 – 2019
- 2019
- [j6]Przemyslaw Juszczuk:
A novel approximate method of computing extended Nash equilibria. Appl. Soft Comput. 76: 682-696 (2019) - [j5]Krzysztof Kania, Przemyslaw Juszczuk, Jan Kozak:
Enhanced Symbolic Description in Analyzing Patterns and Volatility on the Forex Market. Vietnam. J. Comput. Sci. 6(3): 343-362 (2019) - [c11]Jan Kozak, Przemyslaw Juszczuk, Krzysztof Kania:
Classification of the Symbolic Financial Data on the Forex Market. ICCCI (2) 2019: 122-132 - 2018
- [c10]Jan Kozak, Przemyslaw Juszczuk:
Ant Colony Optimization Algorithms in the Problem of Predicting the Efficiency of the Bank Telemarketing Campaign. ICCCI (2) 2018: 335-344 - [c9]Krzysztof Kania, Przemyslaw Juszczuk, Jan Kozak:
Investigating Patterns in the Financial Data with Enhanced Symbolic Description. ICCCI (2) 2018: 345-354 - 2017
- [c8]Przemyslaw Juszczuk, Jan Kozak:
Classification and Preprocessing in the Stock Data. BIS (Workshops) 2017: 269-281 - [c7]Jan Kozak, Przemyslaw Juszczuk:
Association ACDT as a tool for discovering the financial data rules. INISTA 2017: 241-246 - 2015
- [c6]Przemyslaw Juszczuk:
Multi-start Differential Evolution Approach in the Process of Finding Equilibrium Points in the Covariant Games. ICCCI (2) 2015: 139-148 - 2014
- [c5]Przemyslaw Juszczuk:
Finding Optimal Strategies in the Coordination Games. ICCCI 2014: 613-622 - 2013
- [j4]Wojciech Wieczorek, Rafal Skinderowicz, Jan Kozak, Przemyslaw Juszczuk, Arkadiusz Nowakowski:
Selected Algorithms from the 2013 Toads-and-Frogs Blitz Tournament. J. Int. Comput. Games Assoc. 36(4): 222-227 (2013) - [j3]Urszula Boryczka, Przemyslaw Juszczuk:
Differential Evolution as a New Method of Computing Nash Equilibria. Trans. Comput. Collect. Intell. 9: 192-216 (2013) - [c4]Przemyslaw Juszczuk, Urszula Boryczka:
The Differential Evolution with the Entropy Based Population Size Adjustment for the Nash Equilibria Problem. ICCCI 2013: 691-700 - 2012
- [j2]Urszula Boryczka, Przemyslaw Juszczuk:
A new evolutionary approach for computing Nash equilibria in bimatrix games with known support. Central Eur. J. Comput. Sci. 2(2): 128-142 (2012) - [c3]Urszula Boryczka, Przemyslaw Juszczuk:
New Differential Evolution Selective Mutation Operator for the Nash Equilibria Problem. ICCCI (2) 2012: 463-472 - 2011
- [j1]Wojciech Wieczorek, Rafal Skinderowicz, Jan Kozak, Przemyslaw Juszczuk:
New Trends in Clobber Programming. J. Int. Comput. Games Assoc. 34(3): 150-158 (2011) - [c2]Urszula Boryczka, Przemyslaw Juszczuk:
Approximate Nash Equilibria in Bimatrix Games. ICCCI (2) 2011: 485-494 - 2010
- [c1]Urszula Boryczka, Przemyslaw Juszczuk:
Comparative Study of the Differential Evolution and Approximation Algorithms for Computing Optimal Mixed Strategies in Zero-Sum Games. ICCCI (1) 2010: 363-372
2000 – 2009
- 2009
- [p1]Wojciech Froelich, Przemyslaw Juszczuk:
Predictive Capabilities of Adaptive and Evolutionary Fuzzy Cognitive Maps - A Comparative Study. Intelligent Systems for Knowledge Management 2009: 153-174
Coauthor Index
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