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Publications

Network intrusion datasets: A survey, limitations, and recommendations

Goldschmidt, P., Chudá, D. – Computers & Security, 2025
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A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness

Pecher, B., Srba, I., Bielikova, M. – ACM Computing Surveys (ACM CSUR), 2024
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A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts

Tripto, N. I., Venkatraman, S., Macko, D., Moro, R., Srba, I., Uchendu, A., Le, T., Lee, D. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) – ACL 2024, 2024
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Disinformation Capabilities of Large Language Models

Vykopal, I., Pikuliak, M., Srba, I., Moro, R., Macko, D., Bielikova, M. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) – ACL 2024, 2024
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ChatGPT as Your n-th Annotator: Experiments in Leveraging Large Language Models for Social Science Text Annotation in Slovak Language

Endre Hamerlik, Marek Šuppa, Miroslav Blšták, Jozef Kubík, Martin Takáč, Marián Šimko, and Andrej Findor. – Proceedings of the 4th Workshop on Computational Linguistics for the Political and Social Sciences, 2024

IMGTB: A Framework for Machine-Generated Text Detection Benchmarking

Spiegel, M., Macko, D. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024
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KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection

Spiegel, M., Macko, D. – Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
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EAMT 2024: Multilinguality in the VIGILANT project

Spillane, B.,, Scarton, C., Moro, R., Ivanov, P., Tagarev, A., Simko, J., Abu Farha, I., Munnelly, G., Uhlárik, F., Heppell, F. – The 25th Annual Conference of The European Association for Machine Translation, 2024
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Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank

Leon-Martinez, S. – WSDM ’24: Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices.

Pecher, B., Srba, I., Bielikova, M. – Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation

Pecher, B., Cegin, J., Belanec, R., Simko, J., Srba, I., Bielikova, M. – Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling

Pikuliak, M., Hrckova, A., Oresko, S., Šimko, M. – Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
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AI Research is not Magic, it has to be Reproducible and Responsible: Challenges in the AI field from the Perspective of its PhD Students

Hrckova, A., Renoux, J., Calasanz, R. T., Chuda, D., Tamajka, M., Simko, J. – arXiv preprint, 2024

Automated, not Automatic: Needs and practices in European fact-checking organizations as a Basis for Designing Human-Centered AI Systems

Hrckova, A., Moro, R., Srba, I., Simko, J., Bielikova, M. – arXiv preprint, 2024

Windower: Feature Extraction for Real-Time DDoS Detection Using Machine Learning

Goldschmidt, P., Kucera, J. – NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024

Application of Transfer Learning techniques in one day ahead PV production prediction

Lóderer, M., Sandanus, M., Pavlík, P., Rozinajová, V. – European Geosciences Union General Assembly (EGU24), 2024

Fully Differentiable Physics-informed Lagrangian Convolutional Neural Network for Precipitation Nowcasting

Pavlík, P., Výboh, M., Bou Ezzeddine, A., Rozinajová, V. – European Geosciences Union General Assembly (EGU24), 2024

Advising AI assistant: ethical risks of Oura smart ring

Gladiš, M., Mesarčík, M., Slosiarova N. – AI and Ethics, 2024

Healthcare Innovation and Artificial Intelligence in European Union

Shebanova, O., Mesarcik, M., Slosiarova, N. – KInIT report, 2024
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Beyond privacy and security: Exploring ethical issues of smart metering and non-intrusive load monitoring

Gavornik, A., Podrouzek, J., Oresko, S., Slosiarova N., Grmanova, G. – Telematics and Informatics, 2024

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation

Cegin, J., Pecher, B., Simko, J., Srba, I., Bielikova, M., Brusilovsky, P. – Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) – ACL 2024, 2024
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Learning action embeddings for off-policy evaluation

Cief, M., Golebiowski, J., Schmidt, P., Abedjan, Z., Bekasov, A. – 46th European Conference on Information Retrieval, 2024
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Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study

Sükei, E., Romero-Medrano, L., Leon-Martinez, Herrera López, J., Campaña-Montes, J., Olmos, P. – JMIR Form Res, 2023

Stance on the regulation of Generative Artificial Intelligence

Mesarcik, M., Slosiarova, N., Podrouzek, J., Bielikova, M. – KInIT report, 2023
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Report on the Current State of Societal Biases in Slovak AI

Pikuliak, M., Oreško, Š., Burda, K., Gavorník, A., Mesarčík, M., Hrčková, A., Kottulová, J., Szapuová, M., Podroužek, J., Šimko, M. – , 2023
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Issues and challenges regarding operationalisation of AI ethics in practice

Oresko, S., Podrouzek, J. – Zborník SFZ, 2023
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ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness

Cegin, J., Simko, J., Brusilovsky, P., – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark

Macko, D., Moro, R., Uchendu, A,, Lucas, J., Yamashita, M., Pikuliak, M., Srba, I., Le, T., Lee, D., Simko, J., Bielikova, M. – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing – EMNLP 2023, 2023
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Multilingual Previously Fact-Checked Claim Retrieval

Pikuliak, M., Srba, I., Moro, R., Hromadka, T., Smoleň, T., Melišek, M., Vykopal, I., Simko, J., Podroužek, J., Bielikova, M. – Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing – EMNLP 2023, 2023
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Complementary Product Recommendation for Long-tail Products

Papso, R. – 17th ACM Conference on Recommender Systems, 2023
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