Dynamic Maximum Tree Depth. - Sara Silva; Jonas S. Almeida (GECCO, 2003)

EURISWEB - Web-based epidemiological surveillance of antibiotic-resistant pneumococci in Day Care Centers. - Sara Silva; Rodrigo Gouveia-Oliveira; António Maretzek; João A. Carriço; Thorolfur Gudnason; Karl G. Kristinsson; Karl Ekdahl; António Brito-Avô; Alexander Tomasz; Ilda Santos Sanches; Hermínia de Lencastre; Jonas S. Almeida (BMC Medical Informatics Decis. Mak., 2003)

Dynamic Limits for Bloat Control: Variations on Size and Depth. - Sara Silva; Ernesto Costa (GECCO (2), 2004)

Comparing tree depth limits and resource-limited GP. - Sara Silva; Ernesto Costa (Congress on Evolutionary Computation, 2005)

Evolutionary Computation Approaches for Shape Modelling and Fitting. - Sara Silva; Pierre-Alain Fayolle; Johann Vincent; Guillaume Pauron; Christophe Rosenberger; Christian Toinard (EPIA, 2005)

Resource-limited genetic programming: the dynamic approach. - Sara Silva; Ernesto Costa (GECCO, 2005)

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 (EATIS, 2008)

Classification of Seafloor Habitats Using Genetic Programming. - Sara Silva; Yao-Ting Tseng (EvoWorkshops, 2008)

Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. - Leonardo Vanneschi; Sara Silva (EPIA, 2009)

Extending Operator Equalisation: Fitness Based Self Adaptive Length Distribution for Bloat Free GP. - Sara Silva; Stephen Dignum (EuroGP, 2009)

Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. - Sara Silva; Leonardo Vanneschi (GECCO, 2009)

Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring. - António Dourado; Sara Silva; Lara Aires; João Araújo 002 (ICDM, 2009)

Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories. - Sara Silva; Ernesto Costa (Genet. Program. Evolvable Mach., 2009)

A comparison of the generalization ability of different genetic programming frameworks. - Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Vanneschi (IEEE Congress on Evolutionary Computation, 2010)

Geometric Differential Evolution on the Space of Genetic Programs. - Alberto Moraglio; Sara Silva (EuroGP, 2010)

Application of Genetic Programming Classification in an Industrial Process Resulting in Greenhouse Gas Emission Reductions. - Marco Lotz; Sara Silva (EvoApplications (2), 2010)

Bloat Free Genetic Programming versus Classification Trees for Identification of Burned Areas in Satellite Imagery. - Sara Silva; Maria J. P. de Vasconcelos; Joana B. Melo (EvoApplications (1), 2010)

Handling bloat in GP. - Sara Silva (GECCO (Companion), 2010)

Measuring bloat, overfitting and functional complexity in genetic programming. - Leonardo Vanneschi; Mauro Castelli; Sara Silva (GECCO, 2010)

State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs. - Sara Silva; Leonardo Vanneschi (IWPACBB, 2010)

A Quantitative Study of Learning and Generalization in Genetic Programming. - Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Vanneschi (EuroGP, 2011)

An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming. - Leonardo Trujillo; Sara Silva; Pierrick Legrand; Leonardo Vanneschi (EuroGP, 2011)

A Comparison of Machine Learning Methods for the Prediction of Breast Cancer. - Sara Silva; Orlando Anunciação; Marco Lotz (EvoBio, 2011)

Geometric nelder-mead algorithm on the space of genetic programs. - Alberto Moraglio; Sara Silva (GECCO, 2011)

Reassembling operator equalisation: a secret revealed. - Sara Silva (GECCO, 2011)

Random Sampling Technique for Overfitting Control in Genetic Programming. - Ivo Gonçalves; Sara Silva; Joana B. Melo; João Manuel de Brito Carreiras (EuroGP, 2012)

Reuse of spatial concerns based on aspectual requirements analysis patterns. - Sara Silva; João Araújo 001; Armanda Rodrigues; Matias Urbieta; Ana Moreira 001; Silvia E. Gordillo; Gustavo Rossi (RCIS, 2012)

Operator equalisation for bloat free genetic programming and a survey of bloat control methods. - Sara Silva; Stephen Dignum; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2012)

Guest editorial: special issue on selected papers from the European conference on genetic programming. - Sara Silva; James A. Foster (Genet. Program. Evolvable Mach., 2012)

Bloat free genetic programming: application to human oral bioavailability prediction. - Sara Silva; Leonardo Vanneschi (Int. J. Data Min. Bioinform., 2012)

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 (EPIA, 2013)

Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data. - Ivo Gonçalves; Sara Silva (EuroGP, 2013)

A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. - Leonardo Vanneschi; Mauro Castelli; Luca Manzoni; Sara Silva (EuroGP, 2013)

Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. - Mauro Castelli; Sara Silva; Leonardo Vanneschi; Ana I. R. Cabral; Maria J. P. de Vasconcelos; Luís Catarino; João Manuel de Brito Carreiras (EvoApplications, 2013)

Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. - Sara Silva; Vijay Ingalalli; Susana Vinga; João Manuel de Brito Carreiras; Joana B. Melo; Mauro Castelli; Leonardo Vanneschi; Ivo Gonçalves; José Caldas (EvoApplications, 2013)

Geometric Semantic Genetic Programming for Real Life Applications. - Leonardo Vanneschi; Sara Silva; Mauro Castelli; Luca Manzoni (GPTP, 2013)

Geometric Differential Evolution for Combinatorial and Programs Spaces. - Alberto Moraglio; Julian Togelius; Sara Silva (Evol. Comput., 2013)

Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators. - Mauro Castelli; Leonardo Vanneschi; Sara Silva (Expert Syst. Appl., 2013)

A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. - Vijay Ingalalli; Sara Silva; Mauro Castelli; Leonardo Vanneschi (EuroGP, 2014)

ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. - Stefano Ruberto; Leonardo Vanneschi; Mauro Castelli; Sara Silva (EuroGP, 2014)

How to Exploit Alignment in the Error Space: Two Different GP Models. - Mauro Castelli; Leonardo Vanneschi; Sara Silva; Stefano Ruberto (GPTP, 2014)

Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators. - Mauro Castelli; Leonardo Vanneschi; Sara Silva (Expert Syst. Appl., 2014)

A survey of semantic methods in genetic programming. - Leonardo Vanneschi; Mauro Castelli; Sara Silva (Genet. Program. Evolvable Mach., 2014)

Geometric Selective Harmony Search. - Mauro Castelli; Sara Silva; Luca Manzoni; Leonardo Vanneschi (Inf. Sci., 2014)

Corrections to "Semantic Search Based Genetic Programming and the Effect of Introns Deletion". - Mauro Castelli; Leonardo Vanneschi; Sara Silva (IEEE Trans. Cybern., 2014)

Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. - Mauro Castelli; Leonardo Vanneschi; Sara Silva; Alexandros Agapitos; Michael O'Neill 001 (IEEE Trans. Cybern., 2014)

Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca (EPIA, 2015)

On the Generalization Ability of Geometric Semantic Genetic Programming. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca (EuroGP, 2015)

M3GP - Multiclass Classification with GP. - Luis Muñoz; Sara Silva; Leonardo Trujillo (EuroGP, 2015)

Geometric Semantic Genetic Programming with Local Search. - Mauro Castelli; Leonardo Trujillo; Leonardo Vanneschi; Sara Silva; Emigdio Z.-Flores; Pierrick Legrand (GECCO, 2015)

Multiclass Classification Through Multidimensional Clustering. - Sara Silva; Luis Muñoz; Leonardo Trujillo; Vijay Ingalalli; Mauro Castelli; Leonardo Vanneschi (GPTP, 2015)

3D Reconstruction of Bone Structures Based on Planar Radiography. - Ana Coelho; João Pedro Ribeiro; Jaime Campos; Sara Silva; Victor Alves (ISAmI, 2015)

A C++ framework for geometric semantic genetic programming. - Mauro Castelli; Sara Silva; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2015)

Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca; Mauro Castelli (GECCO (Companion), 2016)

Local Search is Underused in Genetic Programming. - Leonardo Trujillo; Emigdio Z.-Flores; Perla S. Juárez-Smith; Pierrick Legrand; Sara Silva; Mauro Castelli; Leonardo Vanneschi; Oliver Schütze 001; Luis Muñoz (GPTP, 2016)

An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. - Mauro Castelli; Luca Manzoni; Ivo Gonçalves; Leonardo Vanneschi; Leonardo Trujillo; Sara Silva (IJCCI (ECTA), 2016)

A Machine Learning Approach for the Integration of miRNA-Target Predictions. - Stefano Beretta 001; Mauro Castelli; Yuliana Martínez; Luis Muñoz; Sara Silva; Leonardo Trujillo; Luciano Milanesi; Ivan Merelli (PDP, 2016)

Self-tuning geometric semantic Genetic Programming. - Mauro Castelli; Luca Manzoni; Leonardo Vanneschi; Sara Silva; Ales Popovic (Genet. Program. Evolvable Mach., 2016)

Evolving genetic programming classifiers with novelty search. - Enrique Naredo; Leonardo Trujillo; Pierrick Legrand; Sara Silva; Luis Muñoz (Inf. Sci., 2016)

neat Genetic Programming: Controlling bloat naturally. - Leonardo Trujillo; Luis Muñoz; Edgar Galván López; Sara Silva (Inf. Sci., 2016)

Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. - Leonardo Vanneschi; Mauro Castelli; Ivo Gonçalves; Luca Manzoni; Sara Silva (CEC, 2017)

RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. - Uriel López; Leonardo Trujillo; Yuliana Martínez; Pierrick Legrand; Enrique Naredo; Sara Silva (EuroGP, 2017)

Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. - William G. La Cava; Sara Silva; Leonardo Vanneschi; Lee Spector; Jason H. Moore (EvoApplications (1), 2017)

Unsure when to stop?: ask your semantic neighbors. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca; Mauro Castelli (GECCO, 2017)

PSXO: population-wide semantic crossover. - Leonardo Vanneschi; Mauro Castelli; Luca Manzoni; Krzysztof Krawiec; Alberto Moraglio; Sara Silva; Ivo Gonçalves (GECCO (Companion), 2017)

The influence of population size in geometric semantic GP. - Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Vanneschi; Ales Popovic (Swarm Evol. Comput., 2017)

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 (GECCO (Companion), 2018)

Less is more in incident categorization (Short Paper). - Sara Silva; Ricardo Ribeiro 001; Rúben Pereira 001 (SLATE, 2018)

A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. - Sara Silva; Leonardo Vanneschi; Ana I. R. Cabral; Maria José Alves do Rio Perestrelo de Vasconcelos (Swarm Evol. Comput., 2018)

Validation process for services produced by digital transformation. - Rafael Fazzolino; Auri Marcelo Rizzo Vincenzi; Sara Silva; Letícia de Souza; Rejane M. da C. Figueiredo; Cristiane Soares Ramos; Luiz Carlos Miyadaira Ribeiro (CASCON, 2019)

A logical architecture design method for microservices architectures. - Nuno Santos 002; Carlos E. Salgado; Francisco Morais; Mónica Melo; Sara Silva; Raquel Martins; Marco Pereira; Helena Rodrigues 001; Ricardo J. Machado 001; Nuno Ferreira 002; Manuel Pereira (ECSA (Companion), 2019)

A Vectorial Approach to Genetic Programming. - Irene Azzali; Leonardo Vanneschi; Sara Silva; Illya Bakurov; Mario Giacobini (EuroGP, 2019)

To adapt or not to adapt, or the beauty of random settings. - João E. Batista; Nuno M. Rodrigues; Sara Silva (GECCO (Companion), 2019)

Evolving multidimensional transformations for symbolic regression with M3GP. - Luis Muñoz; Leonardo Trujillo; Sara Silva; Mauro Castelli; Leonardo Vanneschi (Memetic Comput., 2019)

Multidimensional genetic programming for multiclass classification. - William G. La Cava; Sara Silva; Kourosh Danai; Lee Spector; Leonardo Vanneschi; Jason H. Moore (Swarm Evol. Comput., 2019)

Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. - João E. Batista; Sara Silva (CEC, 2020)

A Study of Fitness Landscapes for Neuroevolution. - Nuno M. Rodrigues; Sara Silva; Leonardo Vanneschi (CEC, 2020)

Ensemble Genetic Programming. - Nuno M. Rodrigues; João E. Batista; Sara Silva (EuroGP, 2020)

Is k Nearest Neighbours Regression Better Than GP? - Leonardo Vanneschi; Mauro Castelli; Luca Manzoni; Sara Silva; Leonardo Trujillo (EuroGP, 2020)

Unlabeled multi-target regression with genetic programming. - Uriel López; Leonardo Trujillo; Sara Silva; Leonardo Vanneschi; Pierrick Legrand (GECCO, 2020)

Refined typed genetic programming as a user interface for genetic programming. - Paulo Santos; Sara Silva; Alcides Fonseca (GECCO Companion, 2020)

The Usability Argument for Refinement Typed Genetic Programming. - Alcides Fonseca; Paulo Santos; Sara Silva (PPSN (2), 2020)

A Study of Generalization and Fitness Landscapes for Neuroevolution. - Nuno M. Rodrigues; Sara Silva; Leonardo Vanneschi (IEEE Access, 2020)

Towards the use of vector based GP to predict physiological time series. - Irene Azzali; Leonardo Vanneschi; Illya Bakurov; Sara Silva; Marco Ivaldi; Mario Giacobini (Appl. Soft Comput., 2020)

Evolving knowledge graph similarity for supervised learning in complex biomedical domains. - Rita Torres Sousa; Sara Silva; Catia Pesquita (BMC Bioinform., 2020)

A Machine Learning Approach to Predict Air Quality in California. - Mauro Castelli; Fabiana Martins Clemente; Ales Popovic; Sara Silva; Leonardo Vanneschi (Complex., 2020)

E-Marketplace as a Tool for the Revitalization of Portuguese Craft Industry: The Design Process in the Development of an Online Platform. - Nuno Martins; Daniel Brandão; Heitor Alvelos; Sara Silva (Future Internet, 2020)

Transfer learning in constructive induction with Genetic Programming. - Luis Muñoz; Leonardo Trujillo; Sara Silva (Genet. Program. Evolvable Mach., 2020)

evoKGsim+: A Framework for Tailoring Knowledge Graph-Based Similarity for Supervised Learning. - Rita Torres Sousa; Sara Silva; Catia Pesquita (ESWC (Satellite Events), 2021)

Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming. - Alcides Fonseca; Paulo Santos; Guilherme Espada; Sara Silva (GPTP, 2021)

μ Viz: Visualization of Microservices. - Sara Silva; Jaime Correia; André Bento; Filipe Araújo; Raul Barbosa (IV, 2021)

Is there data leakage in protein-protein interaction prediction using knowledge graphs? - Rita Torres Sousa; Sara Silva; Catia Pesquita (ISWC (Posters/Demos/Industry), 2021)

Plotting time: On the usage of CNNs for time series classification. - Nuno M. Rodrigues; João E. Batista; Leonardo Trujillo; Bernardo Duarte; Mario Giacobini; Leonardo Vanneschi; Sara Silva (CoRR, 2021)

Improving Land Cover Classification Using Genetic Programming for Feature Construction. - João E. Batista; Ana I. R. Cabral; Maria J. P. de Vasconcelos; Leonardo Vanneschi; Sara Silva (Remote. Sens., 2021)

Assessing Occupational Health with a Cross-platform Application based on Self-reports and Biosignals. - Sara Silva; Cátia Cepeda; João Rodrigues; Phillip Probst; Hugo Gamboa (HEALTHINF, 2022)

Comparative study of classifier performance using automatic feature construction by M3GP. - João E. Batista; Sara Silva (CEC, 2022)

The Supervised Semantic Similarity Toolkit. - Rita Torres Sousa; Sara Silva; Catia Pesquita (ESWC (Satellite Events), 2022)

SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. - Nuno M. Rodrigues; João E. Batista; William G. La Cava; Leonardo Vanneschi; Sara Silva (EuroGP, 2022)

Evolving a cloud-robust water index with genetic programming. - João E. Batista; Sara Silva (GECCO Companion, 2022)

Towards Supervised Biomedical Semantic Similarity. - Rita Torres Sousa; Sara Silva; Catia Pesquita (SeWeBMeDA@ESWC, 2022)

Fitness landscape analysis of convolutional neural network architectures for image classification. - Nuno M. Rodrigues; Katherine M. Malan; Gabriela Ochoa; Leonardo Vanneschi; Sara Silva (Inf. Sci., 2022)

Benchmark Datasets for Biomedical Knowledge Graphs with Negative Statements. - Rita Torres Sousa; Sara Silva; Catia Pesquita (SeWeBMeDA@ESWC, 2023)

Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers. - Pedro Carvalho; Bruno Ribeiro 008; Nuno M. Rodrigues; João E. Batista; Leonardo Vanneschi; Sara Silva (EvoApplications@EvoStar, 2023)

Evolutionary Algorithms for Segment Optimization in Vectorial GP. - Philipp Fleck; Stephan M. Winkler; Michael Kommenda; Sara Silva; Leonardo Vanneschi; Michael Affenzeller (GECCO Companion, 2023)

An Investigation of Geometric Semantic GP with Linear Scaling. - Giorgia Nadizar; Fraser Garrow; Berfin Sakallioglu; Lorenzo Canonne; Sara Silva; Leonardo Vanneschi (GECCO, 2023)

A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. - Karina Brotto Rebuli; Mario Giacobini; Sara Silva; Leonardo Vanneschi (GECCO Companion, 2023)

Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. - Nuno Miguel Rodrigues; José G. de Almeida; Sara Silva (GECCO Companion, 2023)

Explainable Representations for Relation Prediction in Knowledge Graphs. - Rita Torres Sousa; Sara Silva; Catia Pesquita (KR, 2023)

A Case Study on Data Science Processes in an Academia-Industry Collaboration. - Sara Silva; Breno Bernard Nicolau de França (SBQS, 2023)

Biomedical Knowledge Graph Embeddings with Negative Statements. - Rita Torres Sousa; Sara Silva; Heiko Paulheim; Catia Pesquita (ISWC, 2023)

Supervised Biomedical Semantic Similarity. - Rita Torres Sousa; Sara Silva; Catia Pesquita (IEEE Access, 2023)

Testing the Segment Anything Model on radiology data. - José Guilherme de Almeida; Nuno Miguel Rodrigues; Sara Silva; Nickolas Papanikolaou 003 (CoRR, 2023)

Lectures on Intelligent Systems - Leonardo Vanneschi; Sara Silva (Springer, 2023)

Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. - João Eduardo Batista; Adam Kotaro Pindur; Hitoshi Iba; Sara Silva (CEC, 2024)

M6GP: Multiobjective Feature Engineering. - João Eduardo Batista; Nuno Miguel Rodrigues; Leonardo Vanneschi; Sara Silva (CEC, 2024)

Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data. - Nuno Miguel Rodrigues; José Guilherme de Almeida; Ana Sofia Castro Verde; Ana Mascarenhas Gaivão; Carlos Bilreiro; Inês Santiago; Joana Ip; Sara Belião; Raquel Moreno; Celso Matos; Leonardo Vanneschi; Manolis Tsiknakis; et al. (Comput. Biol. Medicine, 2024)

Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216]. - Nuno Miguel Rodrigues; José Guilherme de Almeida; Ana Sofia Castro Verde; Ana Mascarenhas Gaivão; Carlos Bilreiro; Inês Santiago; Joana Ip; Sara Belião; Raquel Moreno; Celso Matos; Leonardo Vanneschi; Manolis Tsiknakis; et al. (Comput. Biol. Medicine, 2024)

Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. - Nuno M. Rodrigues; João E. Batista; William G. La Cava; Leonardo Vanneschi; Sara Silva (SN Comput. Sci., 2024)

Explaining protein-protein interactions with knowledge graph-based semantic similarity. - Rita Torres Sousa; Sara Silva; Catia Pesquita (Comput. Biol. Medicine, 2024)

Geometric semantic genetic programming with normalized and standardized random programs. - Illya Bakurov; Jose Manuel Muñoz Contreras; Mauro Castelli; Nuno M. Rodrigues; Sara Silva; Leonardo Trujillo; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2024)

Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution. - Giorgia Nadizar; Berfin Sakallioglu; Fraser Garrow; Sara Silva; Leonardo Vanneschi (Genet. Program. Evolvable Mach., 2024)

Introducing Crossover in SLIM-GSGP. - Gloria Pietropolli; Davide Farinati; Luca Manzoni; Mauro Castelli; Sara Silva; Leonardo Vanneschi (EuroGP, 2025)

Slim_gsgp: A Python Library for Non-Bloating GSGP. - Liah Rosenfeld; Davide Farinati; Diogo Rasteiro; Gloria Pietropolli; Karina Brotto Rebuli; Sara Silva; Leonardo Vanneschi (GECCO, 2025)

Quantitative prediction of grape ripening parameters combining an autonomous IoT spectral sensing system and chemometrics. - Alessio Tugnolo; Hugo M. Oliveira; Valentina Giovenzana; Natacha Fontes; Sara Silva; Cristina Fernandes; António Graça; Alessia Pampuri; Andrea Casson; João Piteira; Paulo Freitas; Riccardo Guidetti; et al. (Comput. Electron. Agric., 2025)

Complexity, interpretability and robustness of GP-based feature engineering in remote sensing. - João E. Batista; Adam Kotaro Pindur; Ana I. R. Cabral; Hitoshi Iba; Sara Silva (Swarm Evol. Comput., 2025)

Introduction to the "Best of GECCO 2023" Special Issue. - Luís Paquete; Sara Silva (ACM Trans. Evol. Learn. Optim., 2025)

Graph Contrastive Learning for Connectome Classification. - Martín Schmidt; Sara Silva; Federico Larroca; Gonzalo Mateos; Pablo Musé (CoRR, 2025)

Evolving Financial Trading Strategies with Vectorial Genetic Programming. - Rui Menoita; Sara Silva (CoRR, 2025)