| 2025 | ACSSC | Graph Contrastive Learning for Connectome Classification. | Martn Schmidt, Sara Silva, Federico Larroca, Gonzalo Mateos, Pablo Mus |
| 2025 | EUROGP | Introducing Crossover in SLIM-GSGP. | Gloria Pietropolli, Davide Farinati, Luca Manzoni, Mauro Castelli, Sara Silva, Leonardo Vanneschi |
| 2025 | GECCO | Evolving Financial Trading Strategies with Vectorial Genetic Programming. | Rui Menoita, Sara Silva |
| 2025 | GECCO | Slim_gsgp: A Python Library for Non-Bloating GSGP. | Liah Rosenfeld, Davide Farinati, Diogo Rasteiro, Gloria Pietropolli, Karina Brotto Rebuli, Sara Silva, Leonardo Vanneschi |
| 2025 | VTC | Jamming Attack on DSRC Communication Caused by a C-V2X Sidelink Device. | Breno Sousa, Narcio Magaia, Sara Silva, Hieu Nguyen, Yong Liang Guan |
| 2024 | CEC | Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. | Joo Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva |
| 2024 | CEC | M6GP: Multiobjective Feature Engineering. | Joo Eduardo Batista, Nuno Miguel Rodrigues, Leonardo Vanneschi, Sara Silva |
| 2023 | GECCO | Evolutionary Algorithms for Segment Optimization in Vectorial GP. | Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller |
| 2023 | GECCO | An Investigation of Geometric Semantic GP with Linear Scaling. | Giorgia Nadizar, Fraser Garrow, Berfin Sakallioglu, Lorenzo Canonne, Sara Silva, Leonardo Vanneschi |
| 2023 | GECCO | A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. | Karina Brotto Rebuli, Mario Giacobini, Sara Silva, Leonardo Vanneschi |
| 2023 | GECCO | Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. | Nuno Miguel Rodrigues, Jos G. de Almeida, Sara Silva |
| 2023 | KR | Explainable Representations for Relation Prediction in Knowledge Graphs. | Rita T. Sousa, Sara Silva, Catia Pesquita |
| 2022 | CEC | Comparative study of classifier performance using automatic feature construction by M3GP. | Joo E. Batista, Sara Silva |
| 2022 | EUROGP | SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. | Nuno M. Rodrigues, Joo E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva |
| 2022 | GECCO | Evolving a cloud-robust water index with genetic programming. | Joo E. Batista, Sara Silva |
| 2021 | IV | μ Viz: Visualization of Microservices. | Sara Silva, Jaime Correia, Andr Bento, Filipe Arajo, Raul Barbosa |
| 2020 | CEC | Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. | Joo E. Batista, Sara Silva |
| 2020 | CEC | A Study of Fitness Landscapes for Neuroevolution. | Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi |
| 2020 | EUROGP | Ensemble Genetic Programming. | Nuno M. Rodrigues, Joo E. Batista, Sara Silva |
| 2020 | EUROGP | Is k Nearest Neighbours Regression Better Than GP? | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo |
| 2020 | GECCO | Unlabeled multi-target regression with genetic programming. | Uriel Lpez, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand |
| 2020 | GECCO | Refined typed genetic programming as a user interface for genetic programming. | Paulo Santos, Sara Silva, Alcides Fonseca |
| 2020 | PPSN | The Usability Argument for Refinement Typed Genetic Programming. | Alcides Fonseca, Paulo Santos, Sara Silva |
| 2019 | ECSA | A logical architecture design method for microservices architectures. | Nuno Santos, Carlos E. Salgado, Francisco Morais, Mnica Melo, Sara Silva, Raquel Martins, Marco Pereira, Helena Rodrigues, Ricardo J. Machado, Nuno Ferreira, Manuel Pereira |
| 2019 | EUROGP | A Vectorial Approach to Genetic Programming. | Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini |
| 2019 | GECCO | To adapt or not to adapt, or the beauty of random settings. | Joo E. Batista, Nuno M. Rodrigues, Sara Silva |
| 2018 | GECCO | A multidimensional genetic programming approach for identifying epsistatic gene interactions. | William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore |
| 2017 | CEC | Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. | Leonardo Vanneschi, Mauro Castelli, Ivo Gonalves, Luca Manzoni, Sara Silva |
| 2017 | EUROGP | RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. | Uriel Lpez, Leonardo Trujillo, Yuliana Martnez, Pierrick Legrand, Enrique Naredo, Sara Silva |
| 2017 | GECCO | Unsure when to stop?: ask your semantic neighbors. | Ivo Gonalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli |
| 2017 | GECCO | PSXO: population-wide semantic crossover. | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonalves |
| 2016 | GECCO | Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. | Ivo Gonalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli |
| 2016 | IJCCI | An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. | Mauro Castelli, Luca Manzoni, Ivo Gonalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva |
| 2016 | PDP | A Machine Learning Approach for the Integration of miRNA-Target Predictions. | Stefano Beretta, Mauro Castelli, Yuliana Martnez, Luis Muoz, Sara Silva, Leonardo Trujillo, Luciano Milanesi, Ivan Merelli |
| 2015 | EPIA | Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. | Ivo Gonalves, Sara Silva, Carlos M. Fonseca |
| 2015 | EUROGP | On the Generalization Ability of Geometric Semantic Genetic Programming. | Ivo Gonalves, Sara Silva, Carlos M. Fonseca |
| 2015 | EUROGP | M3GP - Multiclass Classification with GP. | Luis Muoz, Sara Silva, Leonardo Trujillo |
| 2015 | GECCO | Geometric Semantic Genetic Programming with Local Search. | Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand |
| 2014 | EUROGP | A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. | Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi |
| 2014 | EUROGP | ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. | Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva |
| 2013 | EPIA | An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. | Mauro Castelli, Davide Castaldi, Ilaria Giordani, Sara Silva, Leonardo Vanneschi, Francesco Archetti, Daniele Maccagnola |
| 2013 | EUROGP | Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data. | Ivo Gonalves, Sara Silva |
| 2013 | EUROGP | A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. | Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva |
| 2012 | EUROGP | Random Sampling Technique for Overfitting Control in Genetic Programming. | Ivo Gonalves, Sara Silva, Joana B. Melo, Joo Manuel de Brito Carreiras |
| 2012 | RCIS | Reuse of spatial concerns based on aspectual requirements analysis patterns. | Sara Silva, Joo Arajo, Armanda Rodrigues, Matias Urbieta, Ana Moreira, Silvia E. Gordillo, Gustavo Rossi |
| 2011 | EUROGP | A Quantitative Study of Learning and Generalization in Genetic Programming. | Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi |
| 2011 | EUROGP | An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming. | Leonardo Trujillo, Sara Silva, Pierrick Legrand, Leonardo Vanneschi |
| 2011 | GECCO | Geometric nelder-mead algorithm on the space of genetic programs. | Alberto Moraglio, Sara Silva |
| 2011 | GECCO | Reassembling operator equalisation: a secret revealed. | Sara Silva |
| 2011 | GECCO | Handling bloat in GP. | Sara Silva |
| 2010 | CEC | A comparison of the generalization ability of different genetic programming frameworks. | Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi |
| 2010 | EUROGP | Geometric Differential Evolution on the Space of Genetic Programs. | Alberto Moraglio, Sara Silva |
| 2010 | GECCO | Handling bloat in GP. | Sara Silva |
| 2010 | GECCO | Measuring bloat, overfitting and functional complexity in genetic programming. | Leonardo Vanneschi, Mauro Castelli, Sara Silva |
| 2009 | EPIA | Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. | Leonardo Vanneschi, Sara Silva |
| 2009 | EUROGP | Extending Operator Equalisation: Fitness Based Self Adaptive Length Distribution for Bloat Free GP. | Sara Silva, Stephen Dignum |
| 2009 | GECCO | Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. | Sara Silva, Leonardo Vanneschi |
| 2008 | EATIS | SWIT: an open-source web-based database management system with indexing engine integration. | Sara Silva, Marco Fernandes, Pedro Almeida, Joaquim Arnaldo Martins, Joaquim Sousa Pinto |
| 2005 | CEC | Comparing tree depth limits and resource-limited GP. | Sara Silva, Ernesto Costa |
| 2005 | EPIA | Evolutionary Computation Approaches for Shape Modelling and Fitting. | Sara Silva, Pierre-Alain Fayolle, Johann Vincent, Guillaume Pauron, Christophe Rosenberger, Christian Toinard |
| 2005 | GECCO | Resource-limited genetic programming: the dynamic approach. | Sara Silva, Ernesto Costa |
| 2004 | GECCO | Dynamic Limits for Bloat Control: Variations on Size and Depth. | Sara Silva, Ernesto Costa |
| 2003 | GECCO | Dynamic Maximum Tree Depth. | Sara Silva, Jonas S. Almeida |