Davide Farinati

13 papers A 1B 3Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators.
CoRR
Davide Farinati, Frederico J. J. B. Santos, Leonardo Vanneschi, Mauro Castelli
2026 J jnl
SLIM: the non-bloating genetic programming with geometric semantic mutations and meaningful semantic crossover.
Genet. Program. Evolvable Mach.
Leonardo Vanneschi, Sofia Pereira, Davide Farinati
2025 J jnl
An Empirical Study of GM4OS for Imbalanced Binary Classification.
SN Comput. Sci.
Davide Farinati, Leonardo Vanneschi
2025 — conf
An empirical study on the feature selection ability of SLIM-GSGP.
GECCO Companion
Davide Farinati, Leonardo Vanneschi
2025 B conf
Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP.
EuroGP
Davide Farinati, Gloria Pietropolli, Leonardo Vanneschi
2025 B conf
Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods.
EuroGP
Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli
2025 B conf
Introducing Crossover in SLIM-GSGP.
EuroGP
Gloria Pietropolli, Davide Farinati, Luca Manzoni, Mauro Castelli, Sara Silva, Leonardo Vanneschi
2025 J jnl
Semantic-based recombination and mutation in cellular-inspired genetic programming.
Genet. Program. Evolvable Mach.
Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli
2025 A conf
Slim_gsgp: A Python Library for Non-Bloating GSGP.
GECCO
Liah Rosenfeld, Davide Farinati, Diogo Rasteiro, Gloria Pietropolli, Karina Brotto Rebuli, Sara Silva, Leonardo Vanneschi
2024 J jnl
A survey on dynamic populations in bio-inspired algorithms.
Genet. Program. Evolvable Mach.
Davide Farinati, Leonardo Vanneschi
2024 — conf
GM4OS: An Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks.
EvoApplications@EvoStar
Davide Farinati, Leonardo Vanneschi
2023 J jnl
A study of dynamic populations in geometric semantic genetic programming.
Inf. Sci.
Davide Farinati, Illya Bakurov, Leonardo Vanneschi
2023 J jnl
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming.
IEEE Comput. Intell. Mag.
Daniele M. Papetti, Andrea Tangherloni, Davide Farinati, Paolo Cazzaniga, Leonardo Vanneschi