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2020 – today
- 2024
[j17]Piotr Stefanski
, Jan Kozak, Tomasz Jach:
Boxing Punch Detection with Single Static Camera. Entropy 26(8): 617 (2024)- [c38]Przemyslaw Juszczuk, Jan Kozak:
Game-Theory Based Voting Schemas for Ensemble of Classifiers. ACIIDS (1) 2024: 241-252 - [c37]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 - [c36]Grzegorz Dziczkowski, Tomasz Jach, Barbara Probierz, Piotr Stefanski, Jan Kozak:
Selection of Rapid Classifier Development Methodology Used to Implement a Screening Study Based on Children's Behavior During School Lessons. GDN 2024: 77-88 - [c35]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
- [j16]Anna Irasiak, Jan Kozak, Adam Piasecki, Tomasz Steclik:
Processing Real-Life Recordings of Facial Expressions of Polish Sign Language Using Action Units. Entropy 25(1): 120 (2023) - [c34]Przemyslaw Juszczuk, Jan Kozak:
Goal-Oriented Classification Measure Based on the Game Theory Concepts. ACIIDS (Companion) 2023: 327-338 - [c33]Barbara Probierz, Jan Kozak, Przemyslaw Juszczuk:
Emotion Detection from Text in Social Networks. ACIIDS (1) 2023: 358-370 - [c32]Barbara Probierz, Jan Kozak, Adam Piasecki, Angelika Podlaszewska:
Sign language interpreting - relationships between research in different areas - overview. FedCSIS 2023: 213-223 - [c31]Piotr Stefanski, Tomasz Jach, Jan Kozak:
Classification of Punches in Olympic Boxing Using Static RGB Cameras. ICCCI 2023: 540-551 - [c30]Szymon Glowania, Jan Kozak, Przemyslaw Juszczuk:
Goal-Oriented Classification of Football Results. ICCCI 2023: 782-793 - [c29]Barbara Probierz, Jan Kozak:
Knowledge graphs to an analysis and visualization of texts from scientific articles. KES 2023: 4324-4333 - [c28]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
- [j15]Jan Kozak, Barbara Probierz, Krzysztof Kania, Przemyslaw Juszczuk:
Preference-Driven Classification Measure. Entropy 24(4): 531 (2022) - [c27]Barbara Probierz, Jan Kozak, Anita Hrabia:
A Comparative Study of Classification and Clustering Methods from Text of Books. ACIIDS (2) 2022: 13-25 - [c26]Przemyslaw Juszczuk, Jan Kozak:
Portfolio Investments in the Forex Market. ACIIDS (1) 2022: 94-105 - [c25]Piotr Stefanski, Jan Kozak, Tomasz Jach:
The Problem of Detecting Boxers in the Boxing Ring. ACIIDS (Companion) 2022: 592-603 - [c24]Barbara Probierz, Tomasz Jach, Jan Kozak, Radoslaw Pacud, Tomasz Turek:
Modelling an IT solution to anonymise selected data processed in digital documents. FedCSIS 2022: 715-719 - [c23]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 - [c22]Barbara Probierz, Jan Kozak, Anita Hrabia:
Clustering of scientific articles using natural language processing. KES 2022: 3449-3458 - 2021
- [j14]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) - [j13]Wojciech Wieczorek, Jan Kozak, Lukasz Strak, Arkadiusz Nowakowski:
Minimum Query Set for Decision Tree Construction. Entropy 23(12): 1682 (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) - [c21]Anita Hrabia, Jan Kozak, Przemyslaw Juszczuk:
Machine Learning in the Context of COVID-19 Pandemic Data Analysis. ICCCI (CCIS Volume) 2021: 361-374 - [c20]Barbara Probierz, Jan Kozak, Piotr Stefanski, Przemyslaw Juszczuk:
Adaptive Goal Function of Ant Colony Optimization in Fake News Detection. ICCCI 2021: 387-400 - [c19]Jan Kozak, Szymon Glowania:
Heterogeneous ensembles of classifiers in predicting Bundesliga football results. KES 2021: 1573-1582 - [c18]Barbara Probierz, Piotr Stefanski, Jan Kozak:
Rapid detection of fake news based on machine learning methods. KES 2021: 2893-2902 - 2020
- [j11]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) - [j10]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) - [j9]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
- [b1]Jan Kozak:
Decision Tree and Ensemble Learning Based on Ant Colony Optimization. Studies in Computational Intelligence 781, Springer 2019, ISBN 978-3-319-93751-9 - [j8]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) - [c17]Jan Kozak, Przemyslaw Juszczuk, Krzysztof Kania:
Classification of the Symbolic Financial Data on the Forex Market. ICCCI (2) 2019: 122-132 - 2018
- [c16]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 - [c15]Krzysztof Kania, Przemyslaw Juszczuk, Jan Kozak:
Investigating Patterns in the Financial Data with Enhanced Symbolic Description. ICCCI (2) 2018: 345-354 - 2017
- [c14]Przemyslaw Juszczuk, Jan Kozak:
Classification and Preprocessing in the Stock Data. BIS (Workshops) 2017: 269-281 - [c13]Jan Kozak, Przemyslaw Juszczuk:
Association ACDT as a tool for discovering the financial data rules. INISTA 2017: 241-246 - 2016
- [j7]Jan Kozak, Urszula Boryczka:
Collective data mining in the ant colony decision tree approach. Inf. Sci. 372: 126-147 (2016) - [c12]Urszula Boryczka, Jan Kozak:
Adaptive Ant Clustering Algorithm with Pheromone. ACIIDS (2) 2016: 117-126 - 2015
- [j6]Urszula Boryczka, Jan Kozak:
Enhancing the effectiveness of Ant Colony Decision Tree algorithms by co-learning. Appl. Soft Comput. 30: 166-178 (2015) - [j5]Jan Kozak, Urszula Boryczka:
Multiple Boosting in the Ant Colony Decision Forest meta-classifier. Knowl. Based Syst. 75: 141-151 (2015) - [c11]Urszula Boryczka, Barbara Probierz, Jan Kozak:
Adaptive Ant Colony Decision Forest in Automatic Categorization of Emails. ACIIDS (1) 2015: 451-461 - [c10]Urszula Boryczka, Barbara Probierz, Jan Kozak:
A New Algorithm to Categorize E-mail Messages to Folders with Social Networks Analysis. ICCCI (2) 2015: 89-98 - 2014
- [j4]Jan Kozak, Arkadiusz Nowakowski, Rafal Skinderowicz, Wojciech Wieczorek:
The 3th Silesian University Computer Combinatorial Games Tournament. J. Int. Comput. Games Assoc. 37(3): 187-190 (2014) - [c9]Urszula Boryczka, Jan Kozak:
On-the-Go Adaptability in the New Ant Colony Decision Forest Approach. ACIIDS (2) 2014: 157-166 - [c8]Urszula Boryczka, Barbara Probierz, Jan Kozak:
An Ant Colony Optimization Algorithm for an Automatic Categorization of Emails. ICCCI 2014: 583-592 - [c7]Jan Kozak, Urszula Boryczka:
Goal-Oriented Requirements for ACDT Algorithms. ICCCI 2014: 593-602 - 2013
- [j3]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) - [j2]Urszula Boryczka, Jan Kozak, Rafal Skinderowicz:
Heterarchy in Constructing Decision Trees - Parallel ACDT. Trans. Comput. Collect. Intell. 10: 177-192 (2013) - [c6]Jan Kozak, Urszula Boryczka:
Dynamic Version of the ACDT/ACDF Algorithm for H-Bond Data Set Analysis. ICCCI 2013: 701-710 - 2012
- [c5]Urszula Boryczka, Jan Kozak:
Ant Colony Decision Forest Meta-ensemble. ICCCI (2) 2012: 473-482 - 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) - [c4]Urszula Boryczka, Jan Kozak:
An Adaptive Discretization in the ACDT Algorithm for Continuous Attributes. ICCCI (2) 2011: 475-484 - [c3]Urszula Boryczka, Jan Kozak:
New insights of cooperation among ants in Ant Colony Decision Trees. NaBIC 2011: 255-260 - 2010
- [c2]Urszula Boryczka, Jan Kozak:
Ant Colony Decision Trees - A New Method for Constructing Decision Trees Based on Ant Colony Optimization. ICCCI (1) 2010: 373-382
2000 – 2009
- 2009
- [c1]Urszula Boryczka, Jan Kozak:
A New Heuristic Function in Ant-miner Approach. ICEIS (2) 2009: 33-38 - [p1]Urszula Boryczka, Jan Kozak:
New Algorithms for Generation Decision Trees-Ant-Miner and Its Modifications. Foundations of Computational Intelligence (6) 2009: 229-262
Coauthor Index
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