• A Study of Generalization and Fitness Landscapes for Neuroevolution (2020). NM Rodrigues, S Silva, L Vanneschi, IEEE Access 8, 108216-108234. https://doi.org/10.1109/ACCESS.2020.3001505
• Evolving knowledge graph similarity for supervised learning in complex biomedical domains (2020). RT Sousa, S Silva, C Pesquita. BMC bioinformatics 21 (1), 6. https://doi.org/10.1186/s12859-019-3296-1
• Transfer learning in constructive induction with Genetic Programming (2019). L Munoz, L Trujillo, S Silva. Genetic Programming and Evolvable Machines, 1-41. https://doi.org/10.1007/s10710-019-09368-y
• Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees (2018). AIR Cabral, S Silva, P Silva, L Vanneschi, MJP Vasconcelos. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2018.05.007
• A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting (2018). S Silva, L Vanneschi, AIR Cabral, MJ Vasconcelos. Swarm and Evolutionary Computation. https://doi.org/10.1016/j.swevo.2017.11.003

Ver todas as Publicações