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Algorithms and measures for fair and explainable decision systems

2022/47/D/ST6/01770

Keywords

Descriptors

  • ST6_011: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowania w przetwarzaniu sygnałów (np. mowy, obrazów, filmów)

Panel

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

Host institution

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

Voivodeship: 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
2023-06-19
Project end date
2026-06-18
Project duration
36 months (the same as in the proposal)
Project status
Project completed

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)

  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 (year: 2024, volume: 153, pages: 111279:1-111279:18), Publisher: 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 (year: 2024, volume: 18(7), pages: 170:1-170:18), Publisher: ACM
    Status:
    Published
    DOI:
    10.1145/3654659 – link to the publication

Articles in post-conference publications (5)

  1. 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) (year: 2024, volume: COLING 2024, pages: 12821–12828), Publisher: ELRA and ICCL
    Date:
    conference 20.05-25.05.2024
    Status:
    Published
    DOI:
    link to the publication

  2. 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 (year: 2024, volume: EMNLP 2024, pages: 2340–2351), Publisher: Association for Computational Linguistics
    Date:
    conference 12.11-16.11.2024
    Status:
    Published
    DOI:
    10.18653/v1/2024.findings-emnlp.130 – link to the publication

  3. 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 (year: 2024, volume: INLG 2024, pages: 622–630), Publisher: Association for Computational Linguistics
    Date:
    conference 23.09-27.09.2024
    Status:
    Published
    DOI:
    link to the publication

  4. 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. (year: 2023, volume: ECAI 2023, pages: 1922-1929), Publisher: IOS Press
    Date:
    conference 30.09-04.10.2023
    Status:
    Published
    DOI:
    10.3233/FAIA230482 – 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 (year: 2024, volume: ECML PKDD 2024, pages: 374–378), Publisher: Springer
    Date:
    conference 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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