Elena Mocanu

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Calculated based on number of publications stored in Pure and citations from Scopus
20142024

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  • 2023

    Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning

    Grooten, B., Sokar, G., Dohare, S., Mocanu, E., Taylor, M. E., Pechenizkiy, M. & Mocanu, D. C., May 2023, AAMAS '23: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems. Ricci, A., Yeoh, W., Agmon, N. & An, B. (eds.). ACM Press, p. 1932-1941 10 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2023).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Open Access
    File
    4 Citations (Scopus)
    19 Downloads (Pure)
  • 2021

    Forecasting

    Mocanu, E., Mocanu, D. C., Paterakis, N. G. & Gibescu, M., 9 Jul 2021, Local Electricity Markets. Pinto, T., Vale, Z. & Widergren, S. (eds.). 1 ed. Elsevier

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Open Access
    File
    127 Downloads (Pure)
  • Sparse Training Theory for Scalable and Efficient Agents

    Mocanu, D. C., Mocanu, E., Pinto, T., Curci, S., Nguyen, P. H., Gibescu, M., Ernst, D. & Vale, Z., 3 May 2021, AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems. Dignum, F., Lomuscio, A., Endriss, U. & Nowé, A. (eds.). ACM Publishing, p. 34-38

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Open Access
    File
    10 Citations (Scopus)
    77 Downloads (Pure)
  • 2017

    Deep learning for power system data analysis

    Mocanu, E., Nguyen, P. H. & Gibescu, M., 27 Nov 2017, Big Data Application in Power Systems. Arghandeh, R. & Zhou, Y. (eds.). Elsevier, p. 125-158 34 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    21 Citations (Scopus)