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Results: 12
Number of items: 12
  • Open Access
    Caron, S., Dobreva, N., Ferrer Sánchez, A., Martín-Guerrero, J. D., Odyurt, U., Ruiz de Austri, R., Wolffs, Z., & Zhao, Y. (2025). Efficient ML-Assisted Particle Track Reconstruction Designs. EPJ Web of Conferences, 337, Article 01299. https://doi.org/10.1051/epjconf/202533701299
  • Odyurt, U., & Swatman, S. N. (2023, September 6). REDVID Collision Event Data – Linear Tracks and Hits [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8322302
  • Open Access
    Gallego, A., Odyurt, U., Cheng, Y., Wang, Y., & Zhao, Z. (2023). Machine Learning Inference on Serverless Platforms Using Model Decomposition. In The 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023): 4-7 December 2023, Hotel Villa Diadoro, Taormina (ME), Italy Article 33 Association for Computing Machinery. https://doi.org/10.1145/3603166.3632535
  • Open Access
    Simion, E., Wang, Y., Tai, H., Odyurt, U., & Zhao, Z. (2023). Towards Seamless Serverless Computing Across an Edge-Cloud Continuum. In The 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023): 4-7 December 2023, Hotel Villa Diadoro, Taormina (ME), Italy Article 41 Association for Computing Machinery. https://doi.org/10.1145/3603166.3632537
  • Open Access
    Odyurt, U., Pimentel, A. D., & Gonzalez Alonso, I. (2022). Improving the robustness of industrial Cyber-Physical Systems through machine learning-based performance anomaly identification. Journal of Systems Architecture, 131, Article 102716. https://doi.org/10.1016/j.sysarc.2022.102716
  • Open Access
    Odyurt, U., Roeder, J., Pimentel, A. D., Gonzalez Alonso, I., & de Laat, C. (2021). Power passports for fault tolerance: Anomaly detection in industrial CPS using electrical EFB. In Proceedings 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS): online, 10-13 May, 2021 (pp. 152-157). IEEE. https://doi.org/10.1109/ICPS49255.2021.9468262
  • Open Access
    Odyurt, U., Sapra, D., & Pimentel, A. D. (2021). The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies. In H. Fujita, A. Selamat, JC.-W. Lin, & M. Ali (Eds.), Advances and Trends in Artificial Intelligence : From Theory to Practice: 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021 : proceedings (Vol. II, pp. 474-484). (Lecture Notes in Computer Science; Vol. 12799), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-79463-7_40
  • Open Access
    Odyurt, U. (2021). A data-centric approach towards identification and prediction of anomalies in industrial cyber-physical systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Meyer, H., Odyurt, U., Pimentel, A. D., Paradas, E., & Gonzalez Alonso, I. (2020). An analytics-based method for performance anomaly classification in cyber-physical systems. In The 35th Annual ACM Symposium on Applied Computing: Brno, Czech Republic, March 30-April 3, 2020 (pp. 210-217). Association for Computing Machinery. https://doi.org/10.1145/3341105.3373851
  • Open Access
    Odyurt, U., Meyer, H., Pimentel, A. D., Paradas, E., & Gonzalez Alonso, I. (2019). Software Passports for Automated Performance Anomaly Detection of Cyber-Physical Systems. In D. N. Pnevmatikatos, M. Pelcat, & M. Jung (Eds.), Embedded Computer Systems: Architectures, Modeling, and Simulation: 19th International Conference, SAMOS 2019, Samos, Greece, July 7–11, 2019 : proceedings (pp. 255-268). (Lecture Notes in Computer Science; Vol. 11733). Springer. https://doi.org/10.1007/978-3-030-27562-4_18
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