Illya Bakurov
  • NOVA Information Management School - Universidade Nova de Lisboa Campus de Campolide 1070-312 Lisboa Portugal

    Portugal

Calculated based on number of publications stored in Pure and citations from Scopus
20172024

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  • 2022

    Genetic programming for structural similarity design at multiple spatial scales

    Bakurov, I., Buzzelli, M., Castelli, M., Schettini, R. & Vanneschi, L., 1 Jul 2022, GECCO ’22. Proceedings of the 2022 Genetic and Evolutionary Computation Conference. Fieldsend, J. E. (ed.). New York: ACM - Association for Computing Machinery, p. 911-919 9 p. (GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    2 Citations (Scopus)
    24 Downloads (Pure)
  • 2021

    Unemployment dynamics in Italy: a counterfactual analysis at Covid time

    Bakurov, I. & Culotta, F., 2021, ASA 2021 Statistics and Information Systems for Policy Evaluation: BOOK OF SHORT PAPERS of the on-site conference. Bertaccini, B., Fabbris, L. & Petrucci, A. (eds.). Firenze: Firenze University Press, p. 215-220 (Proceedings e report; vol. 132).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    10 Downloads (Pure)
  • 2020

    A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks

    Custode, L. L., Tecce, C. L., Bakurov, I., Castelli, M., Cioppa, A. D. & Vanneschi, L., 9 Apr 2020, Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Proceedings. Castillo, P. A., Jiménez Laredo, J. L. & Fernández de Vega, F. (eds.). Springer, p. 513-529 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12104 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    23 Downloads (Pure)
  • Parameters optimization of the Structural Similarity Index

    Bakurov, I., Buzzelli, M., Castelli, M., Schettini, R. & Vanneschi, L., 29 Sept 2020, London Imaging Meeting 2020: Future Colour Imaging. 1 ed. Vol. 2020. p. 19-23 (London Imaging Meeting).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    117 Downloads (Pure)
  • 2019

    A regression-like classification system for geometric semantic genetic programming

    Bakurov, I., Castelli, M., Fontanella, F. & Vanneschi, L., 1 Jan 2019, Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019). Merelo, J. J., Garibaldi, J., Linares-Barranco, A., Madani, K., Warwick, K. & Warwick, K. (eds.). SciTePress - Science and Technology Publications, Vol. 1. p. 40-48 9 p. (IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    3 Citations (Scopus)
    27 Downloads (Pure)
  • A Vectorial Approach to Genetic Programming

    Azzali, I., Vanneschi, L., Silva, S., Bakurov, I. & Giacobini, M., 1 Jan 2019, Genetic Programming: 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Proceedings. Lourenço, N., Hu, T., Richter, H., Sekanina, L. & García-Sánchez, P. (eds.). Switzerland: Springer Verlag, p. 213-227 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11451 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)
  • Supporting medical decisions for treating rare diseases through genetic programming

    Bakurov, I., Castelli, M., Vanneschi, L. & Freitas, M. J., 1 Jan 2019, Applications of Evolutionary Computation: 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings. Kaufmann, P. & Castillo, P. A. (eds.). Springer Verlag, p. 187-203 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11454 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    4 Citations (Scopus)
    26 Downloads (Pure)
  • 2018

    EDDA-V2: an improvement of the evolutionary demes despeciation algorithm

    Bakurov, I., Vanneschi, L., Castelli, M. & Fontanella, F., 1 Jan 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer Verlag, p. 185-196 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11101 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    8 Citations (Scopus)
    61 Downloads (Pure)
  • Evolving PSO algorithm design in vector fields using geometric semantic GP

    Bartashevich, P., Mostaghim, S., Bakurov, I. & Vanneschi, L., 6 Jul 2018, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. ACM - Association for Computing Machinery, p. 262-263 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    6 Citations (Scopus)
    11 Downloads (Pure)
  • PSO-based search rules for aerial swarms against unexplored vector fields via genetic programming

    Bartashevich, P., Bakurov, I., Mostaghim, S. & Vanneschi, L., 1 Jan 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer Verlag, p. 41-53 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11101 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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

    An initialization technique for geometric semantic GP based on demes evolution and despeciation

    Vanneschi, L., Bakurov, I. & Castelli, M., 5 Jul 2017, 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), p. 113-120 8 p. 7969303

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Citations (Scopus)
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