Takip et
Branislav Pecher
Branislav Pecher
Kempelen Institute of Intelligent Technologies
kinit.sk üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
812021
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
532023
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
182022
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
152021
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
122023
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
11*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
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
112024
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
92021
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
8*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
62024
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
Findings of the Association for Computational Linguistics: EMNLP 2024, 11005 …, 2024
32024
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
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
32024
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
12024
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
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Makaleler 1–16