Davide Farinati

According to our database, Davide Farinati authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Semantic-based recombination and mutation in cellular-inspired genetic programming.

Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli

Genet. Program. Evolvable Mach., December, 2025

An Empirical Study of GM4OS for Imbalanced Binary Classification.

Davide Farinati, Leonardo Vanneschi

SN Comput. Sci., June, 2025

Slim_gsgp: A Python Library for Non-Bloating GSGP.

Liah Rosenfeld, Davide Farinati, Diogo Rasteiro, Gloria Pietropolli, Karina Brotto Rebuli, Sara Silva, Leonardo Vanneschi

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods.

Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli

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

Introducing Crossover in SLIM-GSGP.

Gloria Pietropolli, Davide Farinati, Luca Manzoni, Mauro Castelli, Sara Silva, Leonardo Vanneschi

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

Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP.

Davide Farinati, Gloria Pietropolli, Leonardo Vanneschi

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

2024

A survey on dynamic populations in bio-inspired algorithms.

Davide Farinati, Leonardo Vanneschi

Genet. Program. Evolvable Mach., December, 2024

GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks.

Davide Farinati, Leonardo Vanneschi

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

A study of dynamic populations in geometric semantic genetic programming.

Davide Farinati, Illya Bakurov, Leonardo Vanneschi

Inf. Sci., November, 2023

Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming.

Daniele M. Papetti, Andrea Tangherloni, Davide Farinati, Paolo Cazzaniga, Leonardo Vanneschi

IEEE Comput. Intell. Mag., February, 2023