Illya Bakurov

According to our database, Illya Bakurov authored at least 29 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

EvoIQA - Explaining Image Distortions with Evolved White-Box Logic.

Ruchika Gupta, Illya Bakurov, Nathan Haut, Wolfgang Banzhaf

CoRR, March, 2026

Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression.

Gorka Silva, Lachlan Stewart, Illya Bakurov, Mauro Castelli, Davide Farinati, Jose Manuel Muñoz Contreras, Leonardo Trujillio, Leonardo Vanneschi

Proceedings of the Genetic Programming - 29th European Conference, 2026

New Perspectives on Cartesian Genetic Programming: A Survey.

Mark Kocherovsky, Henning Cui, Illya Bakurov, Michael Heider, Roman Kalkreuth, Wolfgang Banzhaf

Proceedings of the Genetic Programming - 29th European Conference, 2026

Node Preservation and Its Effect on Crossover in Cartesian Genetic Programming.

Mark Kocherovsky, Illya Bakurov, Wolfgang Banzhaf

Proceedings of the Genetic Programming - 29th European Conference, 2026

2025

A comparison of tournament and lexicase selection paradigms in regression problems: error-based fitness versus correlation fitness.

Illya Bakurov, Aidan Murphy, Charles Ofria, Wolfgang Banzhaf

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

On the Effectiveness of Crossover Operators in Cartesian Genetic Programming.

Mark Kocherovsky, Marzieh Kianinejad, Illya Bakurov, Wolfgang Banzhaf

Proceedings of the Genetic Programming - 28th European Conference, 2025

2024

Geometric semantic genetic programming with normalized and standardized random programs.

Illya Bakurov, Jose Manuel Muñoz Contreras, Mauro Castelli, Nuno M. Rodrigues, Sara Silva, Leonardo Trujillo, Leonardo Vanneschi

Genet. Program. Evolvable Mach., June, 2024

Sharpness-Aware Minimization in Genetic Programming.

Illya Bakurov, Nathan Haut, Wolfgang Banzhaf

CoRR, 2024

On the Nature of the Phenotype in Tree Genetic Programming.

Wolfgang Banzhaf, Illya Bakurov

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Full Inclusive Genetic Programming.

Francesco Marchetti, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Semantic segmentation network stacking with genetic programming.

Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi

Genet. Program. Evolvable Mach., December, 2023

A study of dynamic populations in geometric semantic genetic programming.

Davide Farinati, Illya Bakurov, Leonardo Vanneschi

Inf. Sci., November, 2023

Full-Reference Image Quality Expression via Genetic Programming.

Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi

IEEE Trans. Image Process., 2023

2022

Soft computing for Ill Posed Problems in Computer Vision.

Illya Bakurov

PhD thesis, 2022

A novel binary classification approach based on geometric semantic genetic programming.

Illya Bakurov, Mauro Castelli, Francesco Fontanella, Alessandra Scotto di Freca, Leonardo Vanneschi

Swarm Evol. Comput., 2022

Structural similarity index (SSIM) revisited: A data-driven approach.

Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi

Expert Syst. Appl., 2022

Genetic programming for structural similarity design at multiple spatial scales.

Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Genetic programming for stacked generalization.

Illya Bakurov, Mauro Castelli, Olivier Gau, Francesco Fontanella, Leonardo Vanneschi

Swarm Evol. Comput., 2021

2020

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

Irene Azzali, Leonardo Vanneschi, Illya Bakurov, Sara Silva, Marco Ivaldi, Mario Giacobini

Appl. Soft Comput., 2020

Parameters optimization of the Structural Similarity Index.

Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi

Proceedings of the London Imaging Meeting 2020: Future Colour Imaging, 2020

A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks.

Leonardo Lucio Custode, Ciro Lucio Tecce, Illya Bakurov, Mauro Castelli, Antonio Della Cioppa, Leonardo Vanneschi

Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019

A Regression-like Classification System for Geometric Semantic Genetic Programming.

Illya Bakurov, Mauro Castelli, Francesco Fontanella, Leonardo Vanneschi

Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Supporting Medical Decisions for Treating Rare Diseases Through Genetic Programming.

Illya Bakurov, Mauro Castelli, Leonardo Vanneschi, Maria João Freitas

Proceedings of the Applications of Evolutionary Computation, 2019

A Vectorial Approach to Genetic Programming.

Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini

Proceedings of the Genetic Programming - 22nd European Conference, 2019

2018

PSO-Based Search Rules for Aerial Swarms Against Unexplored Vector Fields via Genetic Programming.

Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm.

Illya Bakurov, Leonardo Vanneschi, Mauro Castelli, Francesco Fontanella

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Evolving PSO algorithm design in vector fields using geometric semantic GP.

Palina Bartashevich, Illya Bakurov, Sanaz Mostaghim, Leonardo Vanneschi

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Non-photorealistic Rendering with Cartesian Genetic Programming Using Graphics Processing Units.

Illya Bakurov, Brian J. Ross

Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2018

2017

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

Leonardo Vanneschi, Illya Bakurov, Mauro Castelli

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017