• Lectures on Intelligent Systems (2023). L Vanneschi, S Silva. Natural Computing Series, Springer. https://doi.org/10.1007/978-3-031-17922-8
• Fitness landscape analysis of convolutional neural network architectures for image classification (2022). NM Rodrigues, KM Malan, G Ochoa, L Vanneschi, S Silva. Information Sciences, Volume 609, 711-726. https://doi.org/10.1016/j.ins.2022.07.040
• Optical time series for the separation of land cover types with similar spectral signatures: cocoa agroforest and forest (2022). JE Batista, NM Rodrigues, AIR Cabral, MJP Vasconcelos, A Venturieri, LGT Silva, S Silva. International Journal of Remote Sensing 43:9, 3298-3319. https://doi.org/10.1080/01431161.2022.2089540
• 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
• 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

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