| An audit of misinformation filter bubbles on YouTube: Bubble bursting and recent behavior changes M Tomlein, B Pecher, J Simko, I Srba, R Moro, E Stefancova, M Kompan, ... Proceedings of the 15th ACM Conference on Recommender Systems, 1-11, 2021 | 76 | 2021 |
| Auditing YouTube’s recommendation algorithm for misinformation filter bubbles I Srba, R Moro, M Tomlein, B Pecher, J Simko, E Stefancova, M Kompan, ... ACM Transactions on Recommender Systems 1 (1), 1-33, 2023 | 47 | 2023 |
| Monant medical misinformation dataset: Mapping articles to fact-checked claims I Srba, B Pecher, M Tomlein, R Moro, E Stefancova, J Simko, M Bielikova Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 16 | 2022 |
| Towards continuous automatic audits of social media adaptive behavior and its role in misinformation spreading J Simko, M Tomlein, B Pecher, R Moro, I Srba, E Stefancova, A Hrckova, ... Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021 | 15 | 2021 |
| Kinitveraai at semeval-2023 task 3: Simple yet powerful multilingual fine-tuning for persuasion techniques detection T Hromadka, T Smolen, T Remis, B Pecher, I Srba arXiv preprint arXiv:2304.11924, 2023 | 11 | 2023 |
| FireAnt: claim-based medical misinformation detection and monitoring B Pecher, I Srba, R Moro, M Tomlein, M Bielikova Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 10 | 2021 |
| Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance B Pecher, I Srba, M Bielikova arXiv preprint arXiv:2402.12819, 2024 | 7* | 2024 |
| Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation J Cegin, B Pecher, J Simko, I Srba, M Bielikova, P Brusilovsky arXiv preprint arXiv:2401.06643, 2024 | 7 | 2024 |
| Automatic Combination of Sample Selection Strategies for Few-Shot Learning B Pecher, I Srba, M Bielikova, J Vanschoren arXiv preprint arXiv:2402.03038, 2024 | 5 | 2024 |
| A survey on stability of learning with limited labelled data and its sensitivity to the effects of randomness B Pecher, I Srba, M Bielikova ACM Computing Surveys 57 (1), 1-40, 2024 | 4 | 2024 |
| On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices B Pecher, I Srba, M Bielikova arXiv preprint arXiv:2402.12817, 2024 | 4 | 2024 |
| Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation B Pecher, J Cegin, R Belanec, J Simko, I Srba, M Bielikova arXiv preprint arXiv:2406.12471, 2024 | 3 | 2024 |
| Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification J Cegin, B Pecher, J Simko, I Srba, M Bielikova, P Brusilovsky arXiv preprint arXiv:2410.10756, 2024 | | 2024 |
| Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles R MORO, B PECHER | | 2022 |
| Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics M Tomlein, B Pecher, J Simko, I Srba, R Moro, E Stefancova, M Kompan, ... IJCAI, 5349-5353, 2022 | | 2022 |
| Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification. B Pecher IJCAI, 5869-5870, 2022 | | 2022 |
Ivan SrbaKempelen Institute of Intelligent TechnologiesVerified email at kinit.sk
