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Results: 220
Number of items: 220
  • 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
    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). 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
    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
    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
    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
    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
    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
    Meloni, P., Loi, D., Busia, P., Deriu, G., Pimentel, A. D., Sapra, D., Stefanov, T., Minakova, S., Conti, F., Benini, L., Pintor, M., Biggio, B., Moser, B., Shepeleva, N., Fragoulis, N., Theodorakopoulos, I., Masin, M., & Palumbo, F. (2019). Optimization and deployment of CNNs at the Edge: The ALOHA experience. In ACM International Conference on Computing Frontiers 2019 (CF 2019) : proceedings : April 30-May 2, 2019, Alghero, Sardinia, Italy (pp. 326-332). Association for Computing Machinery. https://doi.org/10.1145/3310273.3323435
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