Peer‐Reviewed Journal Publications 

• Pietropolli, G., Manzoni, L., & Cossarini, G. (2023). Ppcon 1.0: Biogeochemical argo profile prediction with 1d convolutional networks. EGUsphere, 2023, 1-23.

• Marchetti, F., Pietropolli, G., Verdù, F. J. C., Castelli, M., & Minisci, E. (2024). Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Applied Soft Computing.

• Amadio, C., Teruzzi, A., Pietropolli, G., Manzoni, L., Coidessa, G., & Cossarini, G. (2024). Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model. Ocean Science.

• Leporati, A., Manzoni, L., Mauri, G., Pietropolli, G., Zandron, C. (2023). Inferring P systems from their computing steps: An evolutionary approach. Swarm and Evolutionary Computation. 

• Pietropolli, G., Manzoni, L., Cossarini, G. (2023). Multivariate Relationship in Big Data Collection of Ocean Observing System. Applied Sciences. 

• Nadizar, G., Pietropolli, G. (2023). A grammatical evolution approach to the automatic inference of P systems. Journal of Membrane Computing. 

• Pietropolli, G., Menara, G., Castelli, M. (2023). A Genetic Programming Based Heuristic to Simplify Rugged Landscapes Exploration. Emerging Science Journal.

• Pietropolli, G., Manzoni, L., Paoletti, A., Castelli, M. (2023). On the hybridization of geometric semantic GP with gradient‑based optimizers. Genetic Programming and Evolvable Machines.

• Castelli, M., Manzoni, L., Mariot, L., Menara, G., Pietropolli, G. (2022). The Effect of Multi‑Generational Selection in Geometric Semantic Genetic Programming. Applied Sciences. 

Peer‐Reviewed Conference Publications 

• Pietropolli, G., Nichele, S., & Medvet, E. (2024, July). The Role of the Substrate in CA-based Evolutionary Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024). 

• Jorgensen, S., Nadizar, G., Pietropolli, G., Manzoni, L., Medvet, E., O'Reilly, U. M., & Hemberg, E. (2024, July). Large Language Model-based Test Case Generation for GP Agents. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024). Best paper award nomination.

• Tonelli, T., Pietropolli, G., Sbaiz, G., & Manzoni, L. (2024, July). Genetic Programming for the Reconstruction of Delay Differential Equations in Economics. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2024).

• Ferreira, J., Castelli, M., Manzoni, L., Pietropolli, G. (2023, March). A Self‑Adaptive Approach to Exploit Topological Properties of Different GAs’ Crossover Operators. In Genetic Programming: 26th European Conference, Held as Part of EvoStar 2023 (EuroGP 2023). Best paper award nomination.

• Pietropolli, G., Camerota Verdù, F. J., Manzoni, L., Castelli, M. (2023, July). Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO 2023).

• Pietropolli, G., Manzoni, L., Paoletti, A., Castelli, M. (2022, April). Combining geometric semantic gp with gradient‑descent optimization. Genetic Programming: 25th European Conference, Held as Part of EvoStar 2022 (EuroGP 2022).

• Pietropolli, G., Cossarini, G., Manzoni, L. (2022, September). GANs for Integration of Deterministic Model and Observations in Marine Ecosystem. In Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence (EPIA 2022).

Abstract and Local Proceedings

• Trinchera, L., Pietropolli, G., Castelli, M., & Schuberth, F. (2025). Automated Specification Search for Composite-Based SEM. In Meeting of the Working Group Structural Equation Modeling (SEM) 2025.

• Pietropolli, G., Manzoni L., Cossarini G. (2023, May). A convolutional deep learning approach for the reconstruction of nutrient and carbonate system variable profiles. 54th International Liege Colloquium On Ocean Dynamics.

• Amadio C., Teruzzi A., Pietropolli G., Manzoni L., Coidessa G., Cossarini G. (2023, May). Combining Neural Networks and Data Assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model. 54th International Liege Colloquium On Ocean Dynamics.

• Fabri, M.E., Pietropolli, G., Manzoni L. (2022, September). Construction of semi‑uniform membrane structures in a uniform way. 23rd Conference on Membrane Computing ‑ Local Proceedings (CMC 2022).

• Nadizar, G., Pietropolli, G. (2022, September). P Systems inference via Grammatical Evolution. 23rd Conference on Membrane Computing ‑ Local Proceedings (CMC 2022).