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Results: 220
Number of items: 220
  • 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
    Xiao, J., & Pimentel, A. D. (2020). CITTA: Cache Interference-Aware Task Partitioning for Real-Time Multi-core Systems. In LCTES '20: the 21st ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems : June 16, 2020, London, United Kingdom (pp. 97-107). The Association for Computing Machinery. https://doi.org/10.1145/3372799.3394367
  • 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
    Xiao, J., Altmeyer, S., & Pimentel, A. D. (2020). Schedulability Analysis of Global Scheduling for Multicore Systems With Shared Caches. IEEE Transactions on Computers, 69(10), 1487-1499. https://doi.org/10.1109/TC.2020.2974224
  • 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
  • Open Access
    Sapra, D., & Pimentel, A. D. (2020). An evolutionary optimization algorithm for gradually saturating objective functions. In GECCO'20: proceedings of the 2020 Genetic and Evolutionary Computation Conference : July 8-12, 2020, Cancún, Mexico (pp. 886-893). Association for Computing Machinery. https://doi.org/10.1145/3377930.3389834
  • Open Access
    Sapra, D., & Pimentel, A. D. (2020). Constrained evolutionary piecemeal training to design convolutional neural networks. In H. Fujita, P. Fournier-Viger, M. Ali, & J. Sasaki (Eds.), Trends in Artificial Intelligence Theory and Applications : Artificial Intelligence Practices: 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020 : proceedings (pp. 709-721). (Lecture Notes in Computer Science; Vol. 12144), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-55789-8_61
  • Open Access
    Pimentel, A. D. (2020). A case for security-aware design-space exploration of embedded systems. Journal of Low Power Electronics and Applications, 10(3), Article 22. https://doi.org/10.3390/jlpea10030022
  • 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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