Illya Bakurov

  • Campus de Campolide

    1070-312 Lisboa

    Portugal

  • 14 Citations
  • 2 h-Index
20172020
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Research Output at NOVA 2017 2020

  • 14 Citations
  • 2 h-Index
  • 7 Conference contribution
  • 1 Article
2020

Towards the use of vector based GP to predict physiological time series

Azzali, I., Vanneschi, L., Bakurov, I., Silva, S., Ivaldi, M. & Giacobini, M., 1 Apr 2020, In : Applied Soft Computing Journal. 89, April, 106097.

Research output: Contribution to journalArticle

Time series
Learning systems
Genetic programming
Recurrent neural networks
Learning algorithms
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, 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 contribution

Open Access
File
Genetic programming
Semantics
Chemical activation
Logistics
Labels
1 Citation (Scopus)

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 contribution

Genetic programming
Genetic Programming
Time series
Symbolic Regression
Comparative Analysis

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 contribution

Open Access
File
Genetic programming
Genetic Programming
Predictive Model
Integrated System
Web Application
2018
2 Citations (Scopus)
31 Downloads (Pure)

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 contribution

Open Access
File
Genetic programming
Genetic Programming
Initialization
Evolutionary algorithms
Evolutionary Algorithms
3 Citations (Scopus)
1 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. Association for Computing Machinery, Inc, p. 262-263 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Algorithm Design
Particle swarm optimization (PSO)
Vector Field
Genetic programming
Semantics
2 Citations (Scopus)

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 contribution

Genetic programming
Swarm
Genetic Programming
Particle swarm optimization (PSO)
Particle Swarm Optimization
2017
6 Citations (Scopus)

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 Inc., p. 113-120 8 p. 7969303

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Genetic programming
Semantics