Pietropolli, G., Farinati, D., Manzoni, L., Castelli, M., Silva, S., & Vanneschi, L. (2025). Introducing Crossover in SLIM-GSGP. In B. Xue, L. Manzoni, & I. Bakurov (Eds.), Genetic Programming: 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings (pp. 103-119). (Lecture Notes in Computer Science; Vol. 15609). Springer Nature Switzerland AG. https://...
Rovito, L., Bonin, L., Farinati, D., Vanneschi, L., Manzoni, L., De Lorenzo, A., & Pietropolli, G. (2025). Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods. In B. Xue, L. Manzoni, & I. Bakurov (Eds.), Genetic Programming: 28th European Conference, EuroGP 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings (pp. 120-138). (Lecture Notes in Comput...
Bonin, L., Cusin, L., De Lorenzo, A., Castelli, M., & Manzoni, L. (2025). A Genetic Algorithm Framework for Jailbreaking Large Language Models [poster]. In G. Ochoa (Ed.), GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 779-782). ACM - Association for Computing Machinery. https://doi.org/10.1145/3712255.3726687 --- This work was supported by national funds ...
Almeida, F., Castelli, M., Côrte-Real, N., & Manzoni, L. (2025). Optimizing Space Heating in Buildings: A Deep Learning Approach for Energy Efficiency. Energies, 18(10), Article 2471. https://doi.org/10.3390/en18102471 --- This work was funded by the European Union under NextGenerationEU. Ecosystem INEST Interconnected Nord-Est Innovation; PNRR Mission 4, Component 2, Investment 1.5, Views and opinions expresse...
Pinna, G., Perezhohin, Y., Manzoni, L., Castelli, M., & De Lorenzo, A. (2025). Redefining text-to-SQL metrics by incorporating semantic and structural similarity. Scientific Reports, 15, Article 22357. https://doi.org/10.1038/s41598-025-04890-9 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project UIDB/04152 - Centro de Investigação em Gestão de In...
Almeida, F., Castelli, M., Côrte-Real, N., Fallarino, C., & Manzoni, L. (2025). Smart energy strategies: Leveraging LSTM and LLMs for advanced energy management. Energy and AI, 22, Article 100642. https://doi.org/10.1016/j.egyai.2025.100642 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152 - Centro de Investigação em Gestão de Info...
Rovito, L., Bonin, L., Farinati, D., Vanneschi, L., Manzoni, L., De Lorenzo, A., & Pietropolli, G. (2025). Semantic-based recombination and mutation in cellular-inspired genetic programming. Genetic Programming And Evolvable Machines, 26(2), Article 27. https://doi.org/10.1007/s10710-025-09524-7 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project...
Ferreira, J., Castelli, M., Manzoni, L., & Pietropolli, G. (2023). A Self-Adaptive Approach to Exploit Topological Properties of Different GAs’ Crossover Operators. In G. Pappa, M. Giacobini, & Z. Vasicek (Eds.), Genetic Programming: 26th European Conference, EuroGP 2023 Held as Part of EvoStar 2023 Brno, Czech Republic, April 12–14, 2023 Proceedings (pp. 3-18). (Lecture Notes in Computer Science; Vol. 13986). ...
Pietropolli, G., Camerota verdù, F. J., Manzoni, L., & Castelli, M. (2023). Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent [Poster]. In S. Silva, & L. Paquete (Eds.), GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary ComputationJuly 2023 (pp. 619-622). Association for Computing Machinery (ACM). https://doi.org/10.1145/3583133.359...
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, 24(2 Special Issue on Highlights of Genetic Programming 2022 Events), 1-20. [16]. https://doi.org/10.21203/rs.3.rs-2229748/v1, https://doi.org/10.1007/s10710-023-09463-1---Open access funding provided by Università degli Stud...