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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Algorithms and measures for fair and explainable decision systems

2022/47/D/ST6/01770

Keywords:

machine learning explainability fairness data visualization multiple-criteria analysis decision systems

Descriptors:

  • ST6_011:

Panel:

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

Host institution :

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Dariusz Brzeziński 

Number of co-investigators in the project: 5

Call: SONATA 18 - announced on 2022-07-15

Amount awarded: 212 280 PLN

Project start date (Y-m-d): 2023-06-19

Project end date (Y-m-d): 2026-06-18

Project duration:: 36 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 (2)
  • Articles in post-conference publications (5)
  1. Towards explainable TOPSIS: Visual insights into the effects of weights and aggregations on rankings
    Authors:
    Robert Susmaga, Izabela Szczech, Dariusz Brzezinski
    Academic press:
    Applied Soft Computing (rok: 2024, tom: 153, strony: 111279:1-111279:18), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.asoc.2024.111279 - link to the publication
  2. Properties of fairness measures in the context of varying class imbalance and protected group ratios
    Authors:
    Dariusz Brzezinski, Julia Stachowiak, Jerzy Stefanowski, Izabela Szczech, Robert Susmaga, Sofya Aksenyuk, Uladzimir Ivashka, Oleksandr Yasinskyi
    Academic press:
    ACM Transactions on Knowledge Discovery from Data (rok: 2024, tom: 18(7), strony: 170:1-170:18), Wydawca: ACM
    Status:
    Published
    DOI:
    10.1145/3654659 - link to the publication
  1. Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
    Authors:
    Adam Wojciechowski, Mateusz Lango, Ondrej Dusek
    Conference:
    Findings of the Association for Computational Linguistics: EMNLP 2024 (rok: 2024, tom: EMNLP 2024, strony: 2340–2351), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 12.11-16.11.2024
    Status:
    Published
    DOI:
    10.18653/v1/2024.findings-emnlp.130 - link to the publication
  2. Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish
    Authors:
    Marta Lango, Borys Naglik, Mateusz Lango, Iwo Naglik
    Conference:
    Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING 2024) (rok: 2024, tom: COLING 2024, strony: 12821–12828), Wydawca: ELRA and ICCL
    Data:
    konferencja 20.05-25.05.2024
    Status:
    Published
    DOI:
    link to the publication
  3. The Problem of Coherence in Natural Language Explanations of Recommendations
    Authors:
    Jakub Raczyński, Mateusz Lango, Jerzy Stefanowski
    Conference:
    26th European Conference on Artificial Intelligence, September 30–October 4, 2023, Kraków, Poland – Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023).Frontiers in Artificial Intelligence and Applications, Vol. 372, 2023. (rok: 2023, tom: ECAI 2023, strony: 1922-1929), Wydawca: IOS Press
    Data:
    konferencja 30.09-04.10.2023
    Status:
    Published
    DOI:
    10.3233/FAIA230482 - link to the publication
  4. Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems
    Authors:
    Jędrzej Warczyński, Mateusz Lango, Ondrej Dusek
    Conference:
    Proceedings of the 17th International Natural Language Generation Conference (rok: 2024, tom: INLG 2024, strony: 622–630), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 23.09-27.09.2024
    Status:
    Published
    DOI:
    link to the publication
  5. ART: Actually Robust Training
    Authors:
    Sebastian Chwilczyński, Kacper Trębacz, Karol Cyganik, Mateusz Małecki, Dariusz Brzezinski
    Conference:
    Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track (rok: 2024, tom: ECML PKDD 2024, strony: 374–378), Wydawca: Springer
    Data:
    konferencja 09.09.2024 – 13.09.2024
    Status:
    Published
    DOI:
    10.1007/978-3-031-70371-3_23 - link to the publication

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