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ORCIDGloria Pietropolli
Person information
- affiliation: University of Trieste, Italy
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2020 – today
- 2026
[j8]Laura Trinchera
, Gloria Pietropolli, Mauro Castelli, Florian Schuberth:
Automated specification search for composite-based structural equation modeling: A genetic approach. Comput. Stat. Data Anal. 219: 108348 (2026)- [j7]Rocco Ascone, Giulia Bernardini, Luca Manzoni, Gloria Pietropolli:
A novel bio-inspired encoding for evolving cryptographic Boolean functions. Swarm Evol. Comput. 101: 102287 (2026) - [j6]Davide Farinati, Gloria Pietropolli, Leonardo Vanneschi:
A Study on the Dynamics and Effectiveness of the Deflate Geometric Semantic Mutation. IEEE Trans. Evol. Comput. 30(3): 1098-1107 (2026) - [c16]Giorgia Nadizar, Gloria Pietropolli, Eric Medvet:
Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies are Hardly Captured. EuroGP 2026: 207-224 - 2025
- [j5]Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli:
Semantic-based recombination and mutation in cellular-inspired genetic programming. Genet. Program. Evolvable Mach. 26(2): 27 (2025) - [c15]Davide Farinati, Gloria Pietropolli, Leonardo Vanneschi:
Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP. EuroGP 2025: 35-51 - [c14]Gloria Pietropolli, Davide Farinati, Luca Manzoni, Mauro Castelli, Sara Silva, Leonardo Vanneschi:
Introducing Crossover in SLIM-GSGP. EuroGP 2025: 103-119 - [c13]Luigi Rovito, Lorenzo Bonin, Davide Farinati, Leonardo Vanneschi, Luca Manzoni, Andrea De Lorenzo, Gloria Pietropolli:
Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods. EuroGP 2025: 120-138 - [c12]Rocco Ascone, Luca Mariot, Luca Manzoni, Gloria Pietropolli:
Evolving Cryptographic Boolean Functions with Reaction Systems. GECCO Companion 2025: 195-198 - [c11]Liah Rosenfeld, Davide Farinati, Diogo Rasteiro, Gloria Pietropolli, Karina Brotto Rebuli, Sara Silva, Leonardo Vanneschi:
Slim_gsgp: A Python Library for Non-Bloating GSGP. GECCO 2025: 1026-1034 - [c10]Frederico J. J. B. Santos, Andrea De Lorenzo, Luca Manzoni, Gloria Pietropolli:
Learning the Particle Swarm Optimization Velocity Update via Genetic Programming. GECCO Companion 2025: 1966-1975 - [c9]Rocco Ascone, Firas Ben Ramdhane, Luca Manzoni, Giuliamaria Menara, Gloria Pietropolli:
Constructing cryptographic primitives with evolutionary computation and cellular automata. Ital-IA 2025 - 2024
- [j4]Francesco Marchetti, Gloria Pietropolli, Federico Julian Camerota Verdù, Mauro Castelli, Edmondo A. Minisci:
Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Appl. Soft Comput. 159: 111654 (2024) - [c8]Steven Jorgensen, Giorgia Nadizar, Gloria Pietropolli, Luca Manzoni, Eric Medvet, Una-May O'Reilly, Erik Hemberg:
Large Language Model-based Test Case Generation for GP Agents. GECCO 2024 - [c7]Gloria Pietropolli, Stefano Nichele, Eric Medvet:
The Role of the Substrate in CA-based Evolutionary Algorithms. GECCO 2024 - [c6]Teresa Tonelli, Gloria Pietropolli, Gabriele Sbaiz, Luca Manzoni:
Genetic Programming for the Reconstruction of Delay Differential Equations in Economics. GECCO Companion 2024: 2119-2122 - 2023
- [j3]Gloria Pietropolli, Luca Manzoni, Alessia Paoletti, Mauro Castelli:
On the hybridization of geometric semantic GP with gradient-based optimizers. Genet. Program. Evolvable Mach. 24(2): 16 (2023) - [j2]Giorgia Nadizar, Gloria Pietropolli:
A grammatical evolution approach to the automatic inference of P systems. J. Membr. Comput. 5(3): 129-143 (2023) - [j1]Alberto Leporati, Luca Manzoni, Giancarlo Mauri, Gloria Pietropolli, Claudio Zandron:
Inferring P systems from their computing steps: An evolutionary approach. Swarm Evol. Comput. 76: 101223 (2023) - [c5]José Ferreira, Mauro Castelli, Luca Manzoni, Gloria Pietropolli:
A Self-Adaptive Approach to Exploit Topological Properties of Different GAs' Crossover Operators. EuroGP 2023: 3-18 - [c4]Gloria Pietropolli, Federico Julian Camerota Verdù, Luca Manzoni, Mauro Castelli:
Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. GECCO Companion 2023: 619-622 - [c3]Valentina Blasone, Umberto Di Laudo, Gloria Pietropolli, Luca Bortolussi, Silvia Ceramicola, Gianpiero Cossarini, Luca Manzoni:
Machine Learning methods for the Atmosphere, the Ocean, and the Seabed. Ital-IA 2023: 595-598 - 2022
- [c2]Gloria Pietropolli, Gianpiero Cossarini, Luca Manzoni:
GANs for Integration of Deterministic Model and Observations in Marine Ecosystem. EPIA 2022: 452-463 - [c1]Gloria Pietropolli, Luca Manzoni, Alessia Paoletti, Mauro Castelli:
Combining Geometric Semantic GP with Gradient-Descent Optimization. EuroGP 2022: 19-33 - [i2]Mauro Castelli, Luca Manzoni, Luca Mariot, Giuliamaria Menara, Gloria Pietropolli:
The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming. CoRR abs/2205.02598 (2022) - [i1]Gloria Pietropolli, Giuliamaria Menara, Mauro Castelli:
Combining Genetic Programming and Particle Swarm Optimization to Simplify Rugged Landscapes Exploration. CoRR abs/2206.03241 (2022)
Coauthor Index
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