Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Multiobjective Classifier Learning for Chosen Decision Tasks

2019/35/B/ST6/04442

Keywords:

multiobvjective optimization classifier leatning imbalanced data cost-sensitive classification

Descriptors:

  • ST6_011:
  • ST6_007:

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Wrocławska

woj. dolnośląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Michał Wojciech Woźniak 

Number of co-investigators in the project: 8

Call: OPUS 18 - announced on 2019-09-16

Amount awarded: 1 402 512 PLN

Project start date (Y-m-d): 2020-10-01

Project end date (Y-m-d): 2025-09-30

Project duration:: 60 months (the same as in the proposal)

Project status: Pending project

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (7)
  • Articles in post-conference publications (13)
  1. problexity - an open-source Python library for supervised learning problem complexity assessment
    Authors:
    Joanna Komorniczak, Paweł Ksieniewicz
    Academic press:
    Neurocomputing (rok: 2023, tom: 521, strony: 126-136), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.neucom.2022.11.056 - link to the publication
  2. SVM ensemble training for imbalanced data classification using multi-objective optimization techniques
    Authors:
    Joanna Grzyb, Michał Woźniak
    Academic press:
    Applied Intelligence (rok: 2022, tom: -, strony: -), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10489-022-04291-9 - link to the publication
  3. Complexity-based drift detection for nonstationary data streams.
    Authors:
    Joanna Komorniczak, Paweł Ksieniewicz
    Academic press:
    Neurocomputing (rok: 2023, tom: 552, strony: 126554, 1-15), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.neucom.2023.126554 - link to the publication
  4. Using multi-objective optimization to build non-random forest
    Authors:
    Joanna A. Klikowska, Michał Woźniak
    Academic press:
    Logic Journal of the IGPL (rok: 2024, tom: -, strony: jzae110), Wydawca: Oxford Academic
    Status:
    Published
    DOI:
    10.1093/jigpal/jzae110 - link to the publication
  5. Local Neighborhood Encodings for imbalanced data classification
    Authors:
    Michał Koziarski, Michał Woźniak
    Academic press:
    Machine Learning (rok: 2024, tom: 113, strony: 7421–7449), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10994-024-06563-6 - link to the publication
  6. Multicriteria Classifier Ensemble Learning for Imbalanced Data
    Authors:
    Weronika Węgier, Michał Koziarski, Michał Woźniak
    Academic press:
    IEEE Access (rok: 2022, tom: vol. 10, strony: 16807-16818), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2022.3149914 - link to the publication
  7. Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning.
    Authors:
    Aleksandra Knapińska, Piotr Lechowicz, Weronika Węgier, Krzysztof Walkowiak
    Academic press:
    Applied Soft Computing (rok: 2022, tom: 130, strony: 109694), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.asoc.2022.109694 - link to the publication
  1. DE-forest - optimized decision tree ensemble
    Authors:
    Joanna Grzyb, Michał Woźniak
    Conference:
    Lecture Notes in Artificial Intelligence. Lecture Notes in Computer Science, ISSN 0302-9743; vol. 14162 (rok: 2023, tom: 15th International Conference Computational Collective Intelligence, ICCCI 2023, strony: 806-818), Wydawca: Springer
    Data:
    konferencja 27-29 września 2023
    Status:
    Published
    DOI:
    10.1007/978-3-031-41456-5_61 - link to the publication
  2. Search-based framework for transparent non-overlapping ensemble model
    Authors:
    Bogdan Gulowaty, Michał Woźniak
    Conference:
    Proceedings of 2022 International Joint Conference on Neural Networks (IJCNN) (rok: 2022, tom: International Joint Conference on Neural Networks (IJCNN), strony: 45663), Wydawca: IEEE
    Data:
    konferencja 18-23.07.2022
    Status:
    Published
    DOI:
    10.1109/IJCNN55064.2022.9892360 - link to the publication
  3. Data complexity and classification accuracy correlation in oversampling algorithms
    Authors:
    Joanna Komorniczak, Paweł Ksieniewicz, Michał Woźniak
    Conference:
    Proceedings of Machine Learning Research, vol. 183 (rok: 2022, tom: ourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 23 September 2022, ECML-PKDD, strony: 175-186), Wydawca: PMLR
    Data:
    konferencja 44826
    Status:
    Published
    DOI:
    link to the publication
  4. Optimized hybrid imbalanced data sampling for decision tree training
    Authors:
    Weronika Węgier, Michał Koziarski, Michał Woźniak
    Conference:
    Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (rok: 2023, tom: Genetic and Evolutionary Computation Conference GECCO 2023, strony: 339-342), Wydawca: ACM
    Data:
    konferencja 15-19 lipca 2023
    Status:
    Published
    DOI:
    10.1145/3583133.3590702 - link to the publication
  5. MOO-Points – distance-based method for multi-objective optimization in the imbalanced data classification task
    Authors:
    Weronika A. Borek-Marciniec, Michał Woźniak
    Conference:
    Computer Information Systems and Industrial Management : 23rd International Conference, CISIM 2024, Bialystok, Poland, September 27-29, 2024 (rok: 2024, tom: 23rd International Conference on Computer Information Systems and Industrial Management , CISIM 2024, strony: 319-331), Wydawca: Springer
    Data:
    konferencja 27-29 września 2024r.
    Status:
    Published
    DOI:
    10.1007/978-3-031-71115-2_22 - link to the publication
  6. $F_{\beta}$ -plot - a visual tool for evaluation imbalanced data classifiers
    Authors:
    Szymon Wojciechowski, Michał Woźniak
    Conference:
    Proceedings of Machine Learning Research, Volume 263 (rok: 2024, tom: 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, workshop on Classifier Learning from Difficult Data, strony: 25-32), Wydawca: MLResearchPress
    Data:
    konferencja 19-20 października 2024r.
    Status:
    Published
    DOI:
    link to the publication
  7. Multi-objective sample weighting for imbalanced data classification
    Authors:
    Szymon Wojciechowski
    Conference:
    Proceedings of the 3rd Polish Conference on Artificial Intelligence, PP-RAI'2022 (rok: 2022, tom: the 3rd Polish Conference on Artificial Intelligence, PP-RAI'2022, strony: 69-72), Wydawca: Wydawnictwo Uniwersytetu Morskiego w Gdyni
    Data:
    konferencja 26-26.04.2022
    Status:
    Published
    DOI:
    link to the publication
  8. Application of multi-objective optimization to feature selection for a difficult data classification task
    Authors:
    Joanna A. Grzyb, Mariusz Topolski, Michał Woźniak
    Conference:
    Lecture Notes in Computer Science, ISSN 0302-9743; vol. 12744 (rok: 2021, tom: ICCS 2021, strony: 81-94), Wydawca: Springer
    Data:
    konferencja 16-18 czerwca 2021
    Status:
    Published
    DOI:
    10.1007/978-3-030-77967-2_8 - link to the publication
  9. MOOforest - multi-objective optimization to form decision tree ensemble
    Authors:
    Joanna Grzyb, Michał Woźniak
    Conference:
    Lecture Notes in Networks and Systems. ISSN 2367-3370; vol. 709 (rok: 2023, tom: XXI Polish Control Conference, strony: 108-117), Wydawca: Springer
    Data:
    konferencja 26-29 czerwca 2023
    Status:
    Published
    DOI:
    10.1007/978-3-031-35173-0_11 - link to the publication
  10. Multi-objective evolutionary undersampling algorithm for imbalanced data classification
    Authors:
    Szymon T. Wojciechowski
    Conference:
    Lecture Notes in Computer Science. ISSN 0302-9743; vol. 12744 (rok: 2021, tom: ICCS 2021, strony: 118-127), Wydawca: Springer
    Data:
    konferencja 16-18 czerwiec 2021
    Status:
    Published
    DOI:
    10.1007/978-3-030-77967-2_11 - link to the publication
  11. Multi-objective sample weighting for imbalanced data classification
    Authors:
    Szymon Wojciechowski
    Conference:
    Proceedings of the 3rd Polish Conference on Artificial Intelligence, PP-RAI'2022 (rok: 2022, tom: the 3rd Polish Conference on Artificial Intelligence, PP-RAI'2022, strony: 69-72), Wydawca: Wydawnictwo Uniwersytetu Morskiego w Gdyni
    Data:
    konferencja 26-26.04.2022
    Status:
    Published
    DOI:
    link to the publication
  12. Analysis of the possibility to employ relationship between the problem complexity and the classification quality as model optimization proxy
    Authors:
    Joanna Komorniczak, Paweł Ksieniewicz, Michał Woźniak
    Conference:
    Lecture Notes in Networks and Systems. 2367-3370, vol. 766 (rok: 2023, tom: Computer Recognition Systems CORES 2023, strony: 71-82), Wydawca: Springer
    Data:
    konferencja 9 czerwca 2023
    Status:
    Published
    DOI:
    10.1007/978-3-031-41630-9_8 - link to the publication
  13. Data complexity and classification accuracy correlation in oversampling algorithms
    Authors:
    Joanna Komorniczak, Paweł Ksieniewicz, Michał Woźniak
    Conference:
    Proceedings of Machine Learning Research, vol. 183 (rok: 2022, tom: ourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 23 September 2022, ECML-PKDD, strony: 175-186), Wydawca: PMLR
    Data:
    konferencja 44826
    Status:
    Published
    DOI:
    link to the publication

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