prof. Ing.

Mária Bieliková

Ph.D.

External Cooperator


bielik@fit.vut.cz
51959/BUT personal ID

Publications

  • 2024

    PECHER Branislav, SRBA Ivan and BIELIKOVÁ Mária. A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness. ACM Computing Surveys, vol. 57, no. 1, 2024, pp. 1-40. ISSN 0360-0300.
    Detail

    ČEGIŇ Ján, PECHER Branislav, ŠIMKO Jakub, SRBA Ivan and BIELIKOVÁ Mária. Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Bangkok: Association for Computational Linguistics, 2024, pp. 13148-13171. ISBN 979-8-8917-6094-3.
    Detail

    PECHER Branislav, ČEGIŇ Ján, BELANEC Róbert, SRBA Ivan, ŠIMKO Jakub and BIELIKOVÁ Mária. Fighting Randomness With Randomness: Mitigating Optimisation Instability of Fine-Tuning Using Ensemble and Noise Regularisation. In: Findings of the Association for Computational Linguistics: EMNLP 2024. Miami: Association for Computational Linguistics, 2024, pp. 11005-11044. ISBN 979-8-8917-6168-1.
    Detail

    PECHER Branislav, SRBA Ivan and BIELIKOVÁ Mária. On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Miami: Association for Computational Linguistics, 2024, pp. 522-556. ISBN 979-8-8917-6164-3.
    Detail

  • 2023

    SRBA Ivan, MÓRO Róbert, TOMLEIN Matúš, PECHER Branislav, ŠIMKO Jakub, ŠTEFANCOVÁ Elena, KOMPAN Michal, HRČKOVÁ Andrea, PODROUŽEK Juraj, GAVORNÍK Adrián and BIELIKOVÁ Mária. Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. ACM Transactions on Recommender Systems, vol. 1, no. 1, 2023, pp. 1-33. ISSN 2770-6699.
    Detail

    DE Leon Martinez Santiago Jose, MORO Robert and BIELIKOVÁ Mária. Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis. In: ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications. New York, NY: Association for Computing Machinery, 2023, pp. 1-3. ISBN 979-8-4007-0150-4.
    Detail

  • 2022

    TOMLEIN Matúš, PECHER Branislav, ŠIMKO Jakub, SRBA Ivan, MÓRO Róbert, ŠTEFANCOVÁ Elena, KOMPAN Michal, HRČKOVÁ Andrea, PODROUŽEK Juraj and BIELIKOVÁ Mária. Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics. In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence Sister Conferences Best Papers. Vienna: International Joint Conferences on Artificial Intelligence, 2022, pp. 5349-5353. ISBN 978-1-956792-00-3.
    Detail

    SRBA Ivan, PECHER Branislav, TOMLEIN Matúš, MÓRO Róbert, ŠTEFANCOVÁ Elena, ŠIMKO Jakub and BIELIKOVÁ Mária. Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Madrid: Association for Computing Machinery, 2022, pp. 2949-2959. ISBN 978-1-4503-8732-3.
    Detail

    PECHER Branislav, SRBA Ivan and BIELIKOVÁ Mária. Transferability and Stability of Learning With Limited Labelled Data in Multilingual Text Domain. In: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence Doctoral Consortium. Vienna: International Joint Conferences on Artificial Intelligence, 2022, pp. 5869-5870. ISBN 978-1-956792-00-3.
    Detail

  • 2018

    ZENDULKA Jaroslav, BIELIKOVÁ Mária, BURGET Radek and KŘIVKA Zbyněk, ed. Data a Znalosti & WIKT 2018. Brno: Brno University of Technology, 2018. ISBN 978-80-214-5679-2.
    Detail

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