List of publications

2024

  1. Sobotka, J., Simánek, P., & Vasata, D. (2024). Investigation into the Training Dynamics of Learned Optimizers. In A. P. Rocha, L. Steels, & H. J. van den Herik (Eds.), Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 2, Rome, Italy, February 24-26, 2024 (pp. 135–146). SCITEPRESS. https://doi.org/10.5220/0012317000003636
  2. Floris, L., & Vasata, D. (2024). Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational Model. In J. Finkelstein, R. Moskovitch, & E. Parimbelli (Eds.), Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I (Vol. 14844, pp. 117–127). Springer. https://doi.org/10.1007/978-3-031-66538-7_13

2023

  1. Soukup, D., Uhrı́cek Daniel, Vasata, D., & Cejka, T. (2023). Machine Learning Metrics for Network Datasets Evaluation. In N. Meyer & A. Grocholewska-Czurylo (Eds.), ICT Systems Security and Privacy Protection - 38th IFIP TC 11 International Conference, SEC 2023, Poznan, Poland, June 14-16, 2023, Revised Selected Papers (Vol. 679, pp. 307–320). Springer. https://doi.org/10.1007/978-3-031-56326-3_22

2022

  1. Najmanová, H., Pesková, V., Kuklı́k Lukás, Bukácek, M., Hrabák, P., & Vasata, D. (2022). Evacuation trials from a double-deck electric train unit: Experimental data and sensitivity analysis. CoRR, abs/2202.11460. https://arxiv.org/abs/2202.11460
  2. Simánek, P., Vasata, D., & Kordı́k Pavel. (2022). Learning to Optimize with Dynamic Mode Decomposition. International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022, 1–8. https://doi.org/10.1109/IJCNN55064.2022.9892364