Branislav Pecher

Publikace

• 2023

  HROMÁDKA, T.; SMOLEŇ, T.; REMIŠ, T.; PECHER, B.; SRBA, I. 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. p. 629-637. ISBN: 978-1-959429-99-9. Detail

  SRBA, I.; MÓRO, R.; TOMLEIN, M.; PECHER, B.; ŠIMKO, J.; ŠTEFANCOVÁ, E.; KOMPAN, M.; HRČKOVÁ, A.; PODROUŽEK, J.; GAVORNÍK, A.; BIELIKOVÁ, M. Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. ACM transactions on recommender systems, 2023, vol. 1, no. 1, p. 1-33. ISSN: 2770-6699. Detail

• 2022

  PECHER, B.; SRBA, I.; BIELIKOVÁ, M. 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. p. 5869-5870. ISBN: 978-1-956792-00-3. Detail

  SRBA, I.; PECHER, B.; TOMLEIN, M.; MÓRO, R.; ŠTEFANCOVÁ, E.; ŠIMKO, J.; BIELIKOVÁ, M. 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. p. 2949-2959. ISBN: 978-1-4503-8732-3. Detail

  TOMLEIN, M.; PECHER, B.; ŠIMKO, J.; SRBA, I.; MÓRO, R.; ŠTEFANCOVÁ, E.; KOMPAN, M.; HRČKOVÁ, A.; PODROUŽEK, J.; BIELIKOVÁ, M. 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. p. 5349-5353. ISBN: 978-1-956792-00-3. Detail