Genetic Programming Bibliography entries for Davide Farinati

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GP coauthors/coeditors: Illya Bakurov, Leonardo Vanneschi, Gloria Pietropolli, Frederico J J B Santos, Mauro Castelli, Francesco Barletta, Paolo Zaurito, Simone Scuderi, Nicholas Raison, Alejandro Granados, Prokar Dasgupta, Giorgio Gandaglia, Alberto Briganti, Daniele M Papetti, Andrea Tangherloni, Paolo Cazzaniga, Luca Manzoni, Liah Rosenfeld, Diogo Rasteiro, Karina Brotto Rebuli, Sara Silva, Luigi Rovito, Lorenzo Bonin, Andrea De Lorenzo, Gorka Silva, Lachlan Stewart, Jose Manuel Munoz Contreras, Leonardo Trujillo, Sofia Carreira da Conceicao Alves Pereira,

Genetic Programming Articles by Davide Farinati

  1. Leonardo Vanneschi and Sofia Pereira and Davide Farinati. SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover. Genetic Programming and Evolvable Machines, 27:Article no 9, 2026. Highlights of Genetic Programming 2024 and 2025 Events. details

  2. Luigi Rovito and Lorenzo Bonin and Davide Farinati and Leonardo Vanneschi and Luca Manzoni and Andrea De Lorenzo and Gloria Pietropolli. Semantic-based recombination and mutation in cellular-inspired genetic programming. Genetic Programming and Evolvable Machines, 26:Article no 27, 2025. Online first. details

  3. Davide Farinati and Leonardo Vanneschi. A survey on dynamic populations in bio-inspired algorithms. Genetic Programming and Evolvable Machines, 25(2):Article no 19, 2024. details

  4. Daniele M. Papetti and Andrea Tangherloni and Davide Farinati and Paolo Cazzaniga and Leonardo Vanneschi. Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE Computational Intelligence Magazine, 18(1):22-31, 2023. details

  5. Davide Farinati and Illya Bakurov and Leonardo Vanneschi. A study of dynamic populations in geometric semantic genetic programming. Information Sciences, 648:119513, 2023. details

  6. Davide Farinati and Gloria Pietropolli and Leonardo Vanneschi. A Study on the Dynamics and Effectiveness of the Deflate Geometric Semantic Mutation. IEEE Transactions on Evolutionary Computation. Early Access. details

Genetic Programming PhD doctoral thesis Davide Farinati

Genetic Programming conference papers by Davide Farinati

  1. Gorka Silva and Lachlan Stewart and Illya Bakurov and Mauro Castelli and Davide Farinati and Jose Manuel Munoz Contreras and Leonardo Trujillo and Leonardo Vanneschi. Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression. In Luca Manzoni and Sylvain Cussat-Blanc and Qi Chen editors, European Conference on Genetic Programming, EuroGP 2026, volume 16521, pages 156-172, Toulouse, 2026. Springer Nature. details

  2. Davide Farinati and Frederico J. J. B. Santos and Leonardo Vanneschi and Mauro Castelli. NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators. In Luca Manzoni and Sylvain Cussat-Blanc and Qi Chen editors, European Conference on Genetic Programming, EuroGP 2026, volume 16521, pages 241-258, Toulouse, 2026. Springer Nature. details

  3. Davide Farinati and Francesco Barletta and Paolo Zaurito and Simone Scuderi and Nicholas Raison and Alejandro Granados and Prokar Dasgupta and Giorgio Gandaglia and Alberto Briganti. Developing a Novel Comorbidities Index for Predicting 10-Year Mortality in Prostate Cancer Patients: A Computational Data-Driven Approach. In Giovanni Iacca and Giorgia Nadizar and Anil Yaman and Doina Bucur and Antonio Della Cioppa and Ting Hu and Eric Medvet and Sarah L. Thomson editors, Parallel Problem Solving from Nature - PPSN XIX - 19th International Conference, PPSN 2026, Trento, Italy, August 29 - September 2, 2026, Proceedings, Part III, volume 16987, pages 355-371, 2026. Springer. details

  4. Luigi Rovito and Lorenzo Bonin and Davide Farinati and Leonardo Vanneschi and Luca Manzoni and Andrea De Lorenzo and Gloria Pietropolli. Exploring the Integration of Cellular Structures in Genetic Programming-based Methods. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 120-138, Trieste, 2025. Springer Nature. details

  5. Liah Rosenfeld and Davide Farinati and Diogo Rasteiro and Gloria Pietropolli and Karina Brotto Rebuli and Sara Silva and Leonardo Vanneschi. Slim-gsgp: A Python Library for Non-Bloating GSGP. In Aniko Ekart and Nelishia Pillay editors, Proceedings of the 2025 Genetic and Evolutionary Computation Conference, pages 1026-1034, Malaga, Spain, 2025. Association for Computing Machinery. details

  6. Gloria Pietropolli and Davide Farinati and Luca Manzoni and Mauro Castelli and Leonardo Vanneschi. Introducing Crossover in SLIM-GSGP. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 103-119, Trieste, 2025. Springer Nature. details

  7. Davide Farinati and Leonardo Vanneschi. An empirical study on the feature selection ability of SLIM-GSGP. In Aniko Ekart and Nelishia Pillay editors, Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, pages 607-610, Malaga, Spain, 2025. Association for Computing Machinery. details

  8. Davide Farinati and Gloria Pietropolli and Leonardo Vanneschi. Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP. In Bing Xue and Luca Manzoni and Illya Bakurov editors, European Conference on Genetic Programming, EuroGP 2025, volume 15609, pages 18-34, Trieste, 2025. Springer Nature. details

  9. Leonardo Vanneschi and Davide Farinati and Diogo Rasteiro and Liah Rosenfeld and Gloria Pietropolli and Sara Silva. Exploring Non-Bloating Geometric Semantic Genetic Programming. In Stephan M. Winkler and Wolfgang Banzhaf and Ting Hu and Alexander Lalejini editors, Genetic Programming Theory and Practice XXI, pages 237-258, University of Michigan, USA, 2024. Springer. details

  10. Davide Farinati and Leonardo Vanneschi. GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14634, pages 68-82, Aberystwyth, 2024. Springer. details