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Artículos arbitrados publicados en publicaciones arbitradas
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https://doi.org/10.3390/make3040039Yovine, S., Mayr, F., Sosa, S., & Visca, R. (2021). An assessment of the application of private aggregation of ensemble models to sensible data. Machine Learning and Knowledge Extraction, 3(4), 788-801.
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https://doi.org/10.3390/make3010010Mayr, F., Yovine, S., & Visca, R. (2021). Property checking with interpretable error characterization for recurrent neural networks. Machine Learning and Knowledge Extraction, 3(1), 205-227.
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https://doi.org/10.1186/s12911-019-1014-6Carrington, A. M., Fieguth, P. W., Qazi, H., Holzinger, A., Chen, H. H., Mayr, F., & Manuel, D. G. (2020). A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms. BMC Medical Informatics and Decision Making, 20(1), 1-12.
Artículos arbitrados presentados en conferencias arbitradas o publicados en actas
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Recuperado de https://proceedings.science/sbsr-2025/trabalhos/soybean-yield-prediction-in-the-eastern-pampas-of-south-america-using-neural-mod?lang=pt-brMayr, F., Cal, A., Gaso, D., Branbate, F., Feuer, A., & García, J. (2025). Soybean yield prediction in the eastern pampas of South America using neural models and open source variables. En Anais do XXI Simpósio Brasileiro de Sensoriamento Remoto. Salvador, Brasil.
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Carrasco, M., Mayr, F., Yovine, S., Kidd, J., Iturbide, M., da Silva, J., & Garat, A. (julio, 2024). Analyzing constrained LLM through PDFA-learning. Artículo presentado en 51st EATCS International Colloquium on Automata, Languages, and Programming (ICALP). Workshop Learning and Automata" (LearnAut 2024). Tallinn, Estonia.
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Recuperado de https://proceedings.mlr.press/v217/mayr23a.htmlMayr, F., Yovine, S., Carrasco, M., Pan, F., & Vilensky, F. (2023). A congruence-based approach to active automata learning from neural language models. En Proceedings of Machine Learning Research (pp. 250-264). Rabat, Marruecos.
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Recuperado de https://proceedings.mlr.press/v217/mayr23b.htmlMayr, F., Yovine, S., Carrasco, M., Garat, A., Iturbide, M., & da Silva, J. (2023). Results of neural-checker toolbox in taysir 2023 competition. En Proceedings of Machine Learning Research (pp. 295-298). Rabat, Marruecos.
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https://doi.org/10.1007/978-3-031-14463-9_7Carrington, A., Fieguth, P., Mayr, F., James, N., Holzinger, A., Pickering, J., & Aviv, R. (2022). The ROC diagonal is not layperson’s chance: A new baseline shows the useful area. En Machine Learning and Knowledge Extraction. CD-MAKE 2022. Lecture Notes in Computer Science (pp. 100-113). Viena, Austria.
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Mayr, F., Yovine, S., Pan, F., Basset, N., & Dang, T. (julio, 2022). Towards efficient active learning of PDFA. Artículo presentado en 49th EATCS International Colloquium on Automata, Languages and Programming (ICALP). Paris, Francia.
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https://doi.org/10.1007/978-3-030-57321-8_19Mayr, F., Visca, R., & Yovine, S. (2020). On-the-fly black-box probably approximately correct checking of recurrent neural networks. En Lecture Notes in Computer Science (pp. 343-363). Dublin, Irlanda.