![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Jan Kozak
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c37]Przemyslaw Juszczuk
, Jan Kozak
:
Game-Theory Based Voting Schemas for Ensemble of Classifiers. ACIIDS (1) 2024: 241-252 - [c36]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 - [c35]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 - 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
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-03 20:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint