104 documents found, page 1 of 11
A Survey on Batch Training in Genetic Programming
Rosenfeld, Liah; Vanneschi, LeonardoRosenfeld, L., & Vanneschi, L. (2025). A Survey on Batch Training in Genetic Programming. Genetic Programming And Evolvable Machines, 26, 1-28. Article 2. https://doi.org/10.1007/s10710-024-09501-6 --- Open access funding provided by FCT|FCCN (b-on). This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Ges...
An empirical study on the feature selection abilities of SLIM-GSGP [poster]
Farinati, Davide; Vanneschi, LeonardoFarinati, D., & Vanneschi, L. (2025). An empirical study on the feature selection abilities of SLIM-GSGP [poster]. In G. Ochoa (Ed.), GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 607-610). ACM - Association for Computing Machinery. https://doi.org/10.1145/3712255.372664 --- This work was supported by national funds through FCT (Fundação para a Ciência e ...
Introducing Crossover in SLIM-GSGP
Pietropolli, Gloria; Farinati, Davide; Manzoni, Luca; Castelli, Mauro; Silva, Sara; Vanneschi, LeonardoPietropolli, 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://...
Exploring the Impact of Data Scale on Mutation Step Size in SLIM-GSGP
Farinati, Davide; Pietropolli, Gloria; Vanneschi, LeonardoFarinati, D., Pietropolli, G., & Vanneschi, L. (2025). Exploring the Impact of Data Scale on Mutation Step Size 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. 35-51). (Lecture Notes in Computer Science; Vol. 15609). Springer Nature Switzerland AG. https://doi.o...
Exploring the Integration of Cellular Structures in Genetic Programming-Based M...
Rovito, Luigi; Bonin, Lorenzo; Farinati, Davide; Vanneschi, Leonardo; Manzoni, Luca; De Lorenzo, Andrea; Pietropolli, GloriaRovito, 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...
Effective reduction of unnecessary biopsies through a deep-learning-assisted ag...
ProCAncer-I Consortium; Rodrigues, Nuno M.; Almeida, José Guilherme de; Verde, Ana Sofia Castro; Gaivão, Ana Mascarenhas; Bireiro, CarlosProCAncer-I Consortium, Rodrigues, N. M., Almeida, J. G. D., Verde, A. S. C., Gaivão, A. M., Bireiro, C., Santiago, I., Ip, J., Belião, S., Matos, C., Vanneschi, L., Tsiknakis, M., Marias, K., Regge, D., Silva, S., & Papanikolaou, N. (2025). Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector. Scientific Reports, 15, 1-15. Article 15211. https://doi.o...
An Empirical Study of GM4OS for Imbalanced Binary Classification
Farinati, Davide; Vanneschi, LeonardoFarinati, D., & Vanneschi, L. (2025). An Empirical Study of GM4OS for Imbalanced Binary Classification. SN Computer Science, 6(5), Article 510. https://doi.org/10.1007/s42979-025-04048-4 --- Open access funding provided by FCT|FCCN (b-on). 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 Informaçã...
Understanding Residential Address Patterns in Urban and Rural Areas
Cruz, Paula; Vanneschi, Leonardo; Painho, MarcoCruz, P., Vanneschi, L., & Painho, M. (2025). Understanding Residential Address Patterns in Urban and Rural Areas: A Machine Learning Approach. Transactions in GIS, 29(1), 1-17. Article e70003. https://doi.org/10.1111/tgis.70003 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project—UIDB/04152/2020—Centro de Investigação em Gestão de Informação (Mag...
Slim_gsgp
Rosenfeld, Liah; Farinati, Davide; Rasteiro, Diogo; Pietropolli, Gloria; Rebuli, Karina Brotto; Silva, Sara; Vanneschi, LeonardoRosenfeld, L., Farinati, D., Rasteiro, D., Pietropolli, G., Rebuli, K. B., Silva, S., & Vanneschi, L. (2025). Slim_gsgp: A Python Library for Non-Bloating GSGP. In G. Ochoa (Ed.), GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1026-1034). ACM - Association for Computing Machinery. https://doi.org/10.1145/3712256.3726398 --- This work was supported by national funds through FC...
A Study on the Dynamics and Effectiveness of the Deflate Geometric Semantic Mut...
Farinati, Davide; Pietropolli, Gloria; Vanneschi, LeonardoFarinati, D., Pietropolli, G., & Vanneschi, L. (2025). A Study on the Dynamics and Effectiveness of the Deflate Geometric Semantic Mutation. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2025.3611226 --- %ABS4% --- 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...