Publications

• 2024

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

  PECHER, B.; ČEGIŇ, J.; BELANEC, R.; SRBA, I.; ŠIMKO, J.; BIELIKOVÁ, M. Fighting Randomness With Randomness: Mitigating Optimisation Instability of Fine-Tuning Using Ensemble and Noise Regularisation. Findings of the Association for Computational Linguistics: EMNLP 2024. Miami: Association for Computational Linguistics, 2024. p. 11005-11044. ISBN: 979-8-8917-6168-1.
  Detail

  PECHER, B.; SRBA, I.; BIELIKOVÁ, M. A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness. ACM COMPUTING SURVEYS, 2024, vol. 57, no. 1, p. 1-40. ISSN: 0360-0300.
  Detail | WWW

• 2023

  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 | WWW

  DE LEON MARTINEZ, S.; MORO, R.; BIELIKOVÁ, M. 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. p. 1-3. ISBN: 979-8-4007-0150-4.
  Detail | WWW

• 2022

  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 | WWW

  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 | WWW

  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 | WWW

• 2018

  ZENDULKA, J.; BIELIKOVÁ, M.; BURGET, R.; KŘIVKA, Z. Data a Znalosti & WIKT 2018. Brno: Vysoké učení technické v Brně, 2018. p. 1-291. ISBN: 978-80-214-5679-2.
  Detail | WWW

*) Publications are generated once a 24 hours.