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Results: 217
Number of items: 217
  • Open Access
    Swatman, S. N., Varbanescu, A.-L., Krasznahorkay, A., & Pimentel, A. (2022). Modelling Performance Loss due to Thread Imbalance in Stochastic Variable-Length SIMT Workloads. In 2022 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems: MASCOTS 2022 : Nice, France, 18-20 October 2022 : proceedings (pp. 137-144). IEEE. https://doi.org/10.1109/MASCOTS56607.2022.00026
  • Open Access
    Xiao, J., Shen, Y., & Pimentel, A. D. (2022). Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems. ACM Transactions on Embedded Computing Systems, 21(3), Article 28. https://doi.org/10.1145/3487581
  • Open Access
    Sapra, D., & Pimentel, A. D. (2022). Designing convolutional neural networks with constrained evolutionary piecemeal training. Applied Intelligence, 52(15), 17103–17117. https://doi.org/10.1007/s10489-021-02679-7
  • Open Access
    Sapra, D. (2022). Efficient neural architectures for edge devices. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    van Ipenburg, I., Sapra, D., & Pimentel, A. D. (2021). Exploring Cell-Based Neural Architectures for Embedded Systems. In M. Kamp, I. Koprinska, A. Bibal, T. Bouadi, B. Frénay, L. Galárraga, J. Oramas, & L. Adilova (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings (Vol. I, pp. 363–374). (Communications in Computer and Information Science; Vol. 1524). Springer. https://doi.org/10.1007/978-3-030-93736-2_28
  • Open Access
    Niknam, S., Pathania, A., & Pimentel, A. D. (2021). T-TSP: Transient-Temperature Based Safe Power Budgeting in Multi-/Many-Core Processors. In 2021 IEEE 39th International Conference on Computer Design: proceedings : ICCD 2021 : virtual conference, 24-27 October 2021 (pp. 500-508). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/ICCD53106.2021.00083
  • Open Access
    Sapra, D., & Pimentel, A. D. (2020). Deep Learning Model Reuse and Composition in Knowledge Centric Networking. In ICCCN 2020: the 29th International Conference on Computer Communication and Networks : final program : August 3-August 6, 2020, Honolulu, Hawaii, USA (pp. 716-726). (Proceedings International Conference on Computer Communications and Networks; Vol. 29). IEEE. https://doi.org/10.1109/ICCCN49398.2020.9209668
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