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Identification

Personal identification

Full name
Illya Bakurov

Citation names

  • Bakurov, Illya

Author identifiers

Ciência ID
FB1C-8256-121B
ORCID iD
0000-0002-6458-942X

Telephones

Mobile phone
  • 912072639 (Personal)

Addresses

  • Praceta Padre Álvaro Proença, Nº 12, 5ºC, 2700-631, Casal de São Brás, Amadora, Portugal (Personal)

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
Russian (Mother tongue)
Ukrainian (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Italian Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2018 - 2022
Ongoing
 Data Science (Doutoramento)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2015 - 2018
Concluded
 Ciência de Dados e Métodos Analíticos Avançados (Mestrado integrado)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
"An initialization technique for geometric semantic geneticprogramming based on demes evolution and despeciation. Machine learning for rare diseases: a case study." (THESIS/DISSERTATION)
2012/03 - 2015
Concluded
 Gestão de Informação (Licenciatura)
Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
Affiliation

Teaching in Higher Education

Category
Host institution 		Employer
2017/09 - 2019/09 Invited Associate Professor (University Teacher) Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal
2015/09 - 2017 Invited Assistant (University Teacher) Universidade Nova de Lisboa Escola de Gestão de Informação, Portugal

Others

Category
Host institution 		Employer
2015/03 - 2015/09 Estágio Qmetrics, Portugal
Projects

Contract

Designation Funders
2018/10/01 - 2022/09/30 Evolutionary Algorithms to Create new Forms of Artificial Intelligence and Practical Applications
SFRH/BD/137277/2018
 Fundação para a Ciência e a Tecnologia
Ongoing
Outputs

Publications

Book chapter
  1. Illya Bakurov; Fabrizio Culotta. "Unemployment dynamics in Italy: a counterfactual analysis at Covid time". 2021.
    10.36253/978-88-5518-461-8.40
  2. Irene Azzali; Leonardo Vanneschi; Sara Silva; Illya Bakurov; Mario Giacobini. "A Vectorial Approach to Genetic Programming". 213-227. Springer International Publishing, 2019.
    10.1007/978-3-030-16670-0_14
Conference paper
  1. Bakurov, Illya; Culotta, Fabrizio. "Unemployment dynamics in Italy: a counterfactual analysis at Covid time". 2021.
    https://doi.org/10.36253/978-88-5518-461-8.40
  2. Bakurov, Illya; Buzzelli, Marco; Castelli, Mauro; Schettini, Raimondo; Vanneschi, Leonardo. "Parameters optimization of the Structural Similarity Index". 2020.
    https://doi.org/10.2352/issn.2694-118X.2020.LIM-13
  3. Bakurov, Illya; Castelli, Mauro; Vanneschi, Leonardo; Freitas, Maria João. "Supporting medical decisions for treating rare diseases through genetic programming". 2019.
    https://doi.org/10.1007/978-3-030-16692-2_13
  4. Bakurov, Illya; Castelli, Mauro; Fontanella, Francesco; Vanneschi, Leonardo. "A regression-like classification system for geometric semantic genetic programming". 2019.
  5. Bartashevich, Palina; Mostaghim, Sanaz; Bakurov, Illya; Vanneschi, Leonardo. "Evolving PSO algorithm design in vector fields using geometric semantic GP". 2018.
    https://doi.org/10.1145/3205651.3205760
  6. Bakurov, Illya; Vanneschi, Leonardo; Castelli, Mauro; Fontanella, Francesco. "EDDA-V2". 2018.
    https://doi.org/10.1007/978-3-319-99253-2_15
Journal article
  1. Illya Bakurov; Marco Buzzelli; Raimondo Schettini; Mauro Castelli; Leonardo Vanneschi. "Structural similarity index (SSIM) revisited: A data-driven approach". Expert Systems with Applications 189 (2022): 116087-116087. https://doi.org/10.1016/j.eswa.2021.116087.
    10.1016/j.eswa.2021.116087
  2. Bakurov, Illya; Buzzelli, Marco; Schettini, Raimondo; Castelli, Mauro; Vanneschi, Leonardo. "Structural similarity index (SSIM) revisited: A data-driven approach". (2022): http://hdl.handle.net/10362/127077.
    https://doi.org/10.1016/j.eswa.2021.116087
  3. Bakurov, Illya; Castelli, Mauro; Fontanella, F.; Scotto Di Freca, A.; Vanneschi, Leonardo. "A novel binary classification approach based on geometric semantic genetic programming". (2022): http://hdl.handle.net/10362/129893.
    https://doi.org/10.1016/j.swevo.2021.101028
  4. Illya Bakurov; Mauro Castelli; Olivier Gau; Francesco Fontanella; Leonardo Vanneschi. "Genetic programming for stacked generalization". Swarm and Evolutionary Computation 65 (2021): 100913-100913. https://doi.org/10.1016/j.swevo.2021.100913.
    10.1016/j.swevo.2021.100913
  5. Bakurov, Illya; Buzzelli, Marco; Castelli, Mauro; Vanneschi, Leonardo; Schettini, Raimondo. "General purpose optimization library (Gpol)". (2021): http://hdl.handle.net/10362/119248.
    https://doi.org/10.3390/app11114774
  6. Bakurov, Illya; Castelli, Mauro; Gau, Olivier; Fontanella, Francesco; Vanneschi, Leonardo. "Genetic programming for stacked generalization". (2021): http://hdl.handle.net/10362/119932.
    https://doi.org/10.1016/j.swevo.2021.100913
  7. Azzali, Irene; Vanneschi, Leonardo; Bakurov, Illya; Silva, Sara; Ivaldi, Marco; Giacobini, Mario. "Towards the use of vector based GP to predict physiological time series". (2020): http://hdl.handle.net/10362/92212.
    https://doi.org/10.1016/j.asoc.2020.106097
Thesis / Dissertation
  1. Martins, Guilherme de Oliveira Crespo. "Single layer optimization with Particle Swarm Optimization: A new approach to optimize Deep Neural Networks". Master, 2021. http://hdl.handle.net/10362/127958.
  2. Kuypers, Julian. "Exploring Evolution Strategies for Reinforcement Learning in the Obstacle Tower Environment". Master, 2021. http://hdl.handle.net/10362/127522.
  3. Padolskaitè, Justina. "Layered genetic programming for feature extraction in classification problems". Master, 2021. http://hdl.handle.net/10362/113179.
  4. Calçada, David Tiago. "Predicting chelonia mydas nests survivability rates with use of machine learning techniques: applying machine learning techniques on conservation data – case study". Master, 2020. http://hdl.handle.net/10362/97228.
  5. Bakurov, Illya. "An initialization technique for geometric semantic geneticprogramming based on demes evolution and despeciation : machine learning for rare diseases: a case study". Master, 2018. http://hdl.handle.net/10362/34384.
Distinctions

Award

2019 Best Student Paper Award (EvoStar 2019)
2015 Melhor Aluno Finalista de Licenciatura em Gestão de Informação