Ing.

Branislav Pecher

Ph.D. student


ipecher@fit.vut.cz
243816/BUT personal ID

Publications

  • 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

    HROMÁDKA Timo, SMOLEŇ Timotej, REMIŠ Tomáš, PECHER Branislav and SRBA Ivan. KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection. In: 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop. Toronto: Association for Computational Linguistics, 2023, pp. 629-637. ISBN 978-1-959429-99-9.
    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

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