E-mail: dariusz.jankowski@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Systems and Computer Networks

ul. Z. Janiszewskiego 7, 50-372 Wrocław
building C-16, room P.2.9
phone +48 71 340 7805

Office hours

• Tuesday 11.00-13.00
• Thursday 13.00-15.00

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Research fields

• Machine learning; data stream mining; data stream classification and concept drift; pattern classification; big data analysis.

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Recent papers

2016

• Jankowski D., Jackowski, K., Cyganek B., Learning Decision Trees from Data Streams with Concept Drift, Procedia Computer Science, 80, 1682-1691, 2016, Elsevier.
• Jackowski K., Jankowski D., Quintián H., Corchado E., Woźniak M., Modelling Dental Milling Process with Machine Learning-Based Regression Algorithms, Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 701-11, 2016, Springer International Publishing.

2015

• Jackowski K., Jankowski D., Simić D., Simić S., Migraine Diagnosis Support System Based on Classifier Ensemble, ICT Innovations 2014, 329-339, 2015, Springer International Publishing.
• Jankowski D., Jackowski K., An Increment Decision Tree Algorithm for Streamed Data, Trustcom/BigDataSE/ISPA, 2015 IEEE, 2, 199-204, 2015, IEEE.

2014

• Jankowski D., Jackowski K., Evolutionary Algorithm for Decision Tree Induction, Computer Information Systems and Industrial Management, 23-32, 2014, Springer Berlin Heidelberg.
• Ksieniewicz P., Jankowski D., Ayerdi B., Jackowski K., Grana M., Wozniak M., A novel hyperspectral segmentation algorithm-concept and evaluation, Logic Journal of IGPL, 2014, Oxford University Press.

Papers in DONA database

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Selected publications
1	Referat konferencyjny 2025 Andrzej Dorochowicz, Dariusz Jankowski, Paweł Ksieniewicz, Katarzyna A Topolska, Mariusz Topolski, Paweł Zyblewski, A prototype of an AI-driven operational security system for FinTechs: a faaS-based approach to fraud detection. W: Progress in Pattern Classification and Machine Learning : Proceedings of the 14th International Conference on Computer Recognition Systems 2025 / eds. Paweł Trajdos, Robert Burduk. Cham : Springer Nature Switzerland AG, cop. 2025. s. 103-112. ISBN: 978-3-032-01772-7; 978-3-032-01773-4 Zasoby:DOIURLSFX
2	Referat konferencyjny 2025 Dariusz Jankowski, Jakub Kardela, Classification of multimodal biomedical data. W: Progress in Pattern Classification and Machine Learning : Proceedings of the 14th International Conference on Computer Recognition Systems 2025 / eds. Paweł Trajdos, Robert Burduk. Cham : Springer Nature Switzerland AG, cop. 2025. s. 54-65. ISBN: 978-3-032-01772-7; 978-3-032-01773-4 Zasoby:DOIURLSFX
3	Referat konferencyjny 2018 Barbara Bobowska, Dariusz Jankowski, MapReduce model for random forest algorithm: experimental studies. W: Intelligent Data Engineering and Automated Learning - IDEAL 2018 : 19th International Conference, Madrid, Spain, November 21-23, 2018 : proceedings. Part I / eds. Hujun Yin [i in.]. Cham : Springer, cop. 2018. s. 184-194. ISBN: 978-3-030-03492-4 Zasoby:DOISFX
4	Artykuł 2016 Dariusz Jankowski, Konrad Jackowski, Bogusław Cyganek, Learning decision trees from data streams with concept drift. Procedia Computer Science. 2016, vol. 80, s. 1682-1691. ISSN: 1877-0509 Zasoby:DOISFX
5	Referat konferencyjny 2016 Konrad Jackowski, Dariusz Jankowski, Héctor Quintián, Emilio Corchado, Michał Woźniak, Modelling dental milling process with machine learning-based regression algorithms. W: Proceedings of the 9th International Conference on Computer Recognition Systems, CORES 2015 / Robert Burduk, Konrad Jackowski, Marek Kurzyński, Michał Woźniak, Andrzej Żołnierek (Eds.). [Cham] : Springer, cop. 2016. s. 701-711. ISBN: 978-3-319-26225-3 Zasoby:DOISFX
6	Referat konferencyjny 2016 Bogusław Cyganek, Michał Woźniak, Dariusz Jankowski, Ensemble of HOSVD generated tensor subspace clasiffier with optimal tensor flattering directions. W: Hybrid artificial intelligent systems : 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016 : proceedings / Francisco Martinez-Alvarez [i in.] (eds.). [Cham] : Springer, cop. 2016. s. 560-571. ISBN: 978-3-319-32033-5 Zasoby:DOISFX
7	Referat konferencyjny 2015 Dragan Simić, Konrad Jackowski, Dariusz Jankowski, Svetlana Simić, Comparison of Clustering Methods in Cotton Textile Industry. W: Intelligent data engineering and automated learning - IDEAL 2015 : 16th International Conference, Wroclaw, Poland, October 14-16, 2015 : proceedings / Konrad Jackowski [i in.] (eds). Cham [i in.] : Springer, cop. 2015. s. 501-508. ISBN: 978-3-319-24833-2 Zasoby:DOISFX
8	Referat konferencyjny 2015 Dariusz Jankowski, Konrad Jackowski, An increment decision tree algorithm for streamed data. W: BigDataSe 2015 : the 9th IEEE International Conference on Big Data Science and Engineering, 20-22 August 2015, Helsinki, Finland. Los Alamitos, Ca. [i in.] : IEEE Computer Society Conference Publishing Services, cop. 2015. s. 199-204. ISBN: 978-1-4673-7951-9; 978-1-4673-7952-6 Zasoby:DOIURL
9	Artykuł 2015 Paweł Ksieniewicz, Dariusz Jankowski, Borja Ayerdi, Konrad Jackowski, Manuel Graña, Michał Woźniak, A novel hyperspectral segmentation algorithm - concept and evaluation. Logic Journal of the IGPL. 2015, vol. 23, nr 1, s. 105-120. ISSN: 1367-0751 Zasoby:DOISFX
10	Rozdział w monografii 2015 Konrad Jackowski, Dariusz Jankowski, Dragan Simić, Svetlana Simić, Migraine diagnosis support system based on classifier ensemble. W: ICT innovations 2014 : world of data / Ana Madevska Bogdanova, Dejan Gjorgjevikj (eds.). Cham [i in.] : Springer, cop. 2015. s. 329-339. ISBN: 978-3-319-09878-4 Zasoby:DOISFX

All publications