Sara Silva

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 73

Top Venues

CoRR

EuroGP

CEC

Genet. Program. Evolvable Mach.

Publications

João Eduardo Batista, Nuno Miguel Rodrigues, Leonardo Vanneschi, Sara Silva
M6GP: Multiobjective Feature Engineering. CEC (2024)
Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva
Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. SN Comput. Sci. 5 (1) (2024)
Illya Bakurov, Jose Manuel Muñoz Contreras, Mauro Castelli, Nuno M. Rodrigues, Sara Silva, Leonardo Trujillo, Leonardo Vanneschi
Geometric semantic genetic programming with normalized and standardized random programs. Genet. Program. Evolvable Mach. 25 (1) (2024)
João Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva
Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. CEC (2024)
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, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou
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]. Comput. Biol. Medicine 173 (2024)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Explaining protein-protein interactions with knowledge graph-based semantic similarity. Comput. Biol. Medicine 170 (2024)
Nuno M. 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, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data. Comput. Biol. Medicine 171 (2024)
Giorgia Nadizar, Berfin Sakallioglu, Fraser Garrow, Sara Silva, Leonardo Vanneschi
Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution. Genet. Program. Evolvable Mach. 25 (2) (2024)
Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller
Evolutionary Algorithms for Segment Optimization in Vectorial GP. GECCO Companion (2023)
Rita Torres Sousa, Sara Silva, Heiko Paulheim, Catia Pesquita
Biomedical Knowledge Graph Embeddings with Negative Statements. CoRR (2023)
José Guilherme de Almeida, Nuno M. Rodrigues, Sara Silva, Nickolas Papanikolaou
Testing the Segment Anything Model on radiology data. CoRR (2023)
Karina Brotto Rebuli, Mario Giacobini, Sara Silva, Leonardo Vanneschi
A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. GECCO Companion (2023)
Nuno M. Rodrigues, José G. de Almeida, Sara Silva
Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. GECCO Companion (2023)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Benchmark datasets for biomedical knowledge graphs with negative statements. CoRR (2023)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Explainable Representations for Relation Prediction in Knowledge Graphs. CoRR (2023)
Rita Torres Sousa, Sara Silva, Heiko Paulheim, Catia Pesquita
Biomedical Knowledge Graph Embeddings with Negative Statements. ISWC (2023)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Benchmark Datasets for Biomedical Knowledge Graphs with Negative Statements. SeWeBMeDA@ESWC (2023)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Explainable Representations for Relation Prediction in Knowledge Graphs. KR (2023)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Supervised Biomedical Semantic Similarity. IEEE Access 11 (2023)
Sara Silva, Breno Bernard Nicolau de França
A Case Study on Data Science Processes in an Academia-Industry Collaboration. SBQS (2023)
Giorgia Nadizar, Fraser Garrow, Berfin Sakallioglu, Lorenzo Canonne, Sara Silva, Leonardo Vanneschi
An Investigation of Geometric Semantic GP with Linear Scaling. GECCO (2023)
Sara Silva, Cátia Cepeda, João Rodrigues, Phillip Probst, Hugo Gamboa
Assessing Occupational Health with a Cross-platform Application based on Self-reports and Biosignals. HEALTHINF (2022)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Towards Supervised Biomedical Semantic Similarity. SeWeBMeDA@ESWC (2022)
Nuno M. Rodrigues, Katherine M. Malan, Gabriela Ochoa, Leonardo Vanneschi, Sara Silva
Fitness landscape analysis of convolutional neural network architectures for image classification. Inf. Sci. 609 (2022)
Rita Torres Sousa, Sara Silva, Catia Pesquita
The Supervised Semantic Similarity Toolkit. ESWC (Satellite Events) (2022)
João E. Batista, Sara Silva
Evolving a cloud-robust water index with genetic programming. GECCO Companion (2022)
João E. Batista, Sara Silva
Comparative study of classifier performance using automatic feature construction by M3GP. CEC (2022)
Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva
SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. EuroGP (2022)
Alcides Fonseca, Paulo Santos, Guilherme Espada, Sara Silva
Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming. GPTP (2021)
Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva
Plotting time: On the usage of CNNs for time series classification. CoRR (2021)
João E. Batista, Ana I. R. Cabral, Maria J. P. de Vasconcelos, Leonardo Vanneschi, Sara Silva
Improving Land Cover Classification Using Genetic Programming for Feature Construction. Remote. Sens. 13 (9) (2021)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Is there data leakage in protein-protein interaction prediction using knowledge graphs? ISWC (Posters/Demos/Industry) (2021)
Rita Torres Sousa, Sara Silva, Catia Pesquita
evoKGsim+: A Framework for Tailoring Knowledge Graph-Based Similarity for Supervised Learning. ESWC (Satellite Events) (2021)
Sara Silva, Jaime Correia, André Bento, Filipe Araújo, Raul Barbosa
μ Viz: Visualization of Microservices. IV (2021)
Uriel López, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand
Unlabeled multi-target regression with genetic programming. GECCO (2020)
Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi
A Study of Fitness Landscapes for Neuroevolution. CoRR (2020)
João E. Batista, Sara Silva
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. CoRR (2020)
Irene Azzali, Leonardo Vanneschi, Illya Bakurov, Sara Silva, Marco Ivaldi, Mario Giacobini
Towards the use of vector based GP to predict physiological time series. Appl. Soft Comput. 89 (2020)
Luis Muñoz, Leonardo Trujillo, Sara Silva
Transfer learning in constructive induction with Genetic Programming. Genet. Program. Evolvable Mach. 21 (4) (2020)
Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi
A Study of Fitness Landscapes for Neuroevolution. CEC (2020)
João E. Batista, Sara Silva
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. CEC (2020)
Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo
Is k Nearest Neighbours Regression Better Than GP? EuroGP (2020)
Nuno M. Rodrigues, João E. Batista, Sara Silva
Ensemble Genetic Programming. EuroGP (2020)
Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi
A Study of Generalization and Fitness Landscapes for Neuroevolution. IEEE Access 8 (2020)
Nuno M. Rodrigues, João E. Batista, Sara Silva
Ensemble Genetic Programming. CoRR (2020)
Rita Torres Sousa, Sara Silva, Catia Pesquita
Evolving knowledge graph similarity for supervised learning in complex biomedical domains. BMC Bioinform. 21 (1) (2020)
Mauro Castelli, Fabiana Martins Clemente, Ales Popovic, Sara Silva, Leonardo Vanneschi
A Machine Learning Approach to Predict Air Quality in California. Complex. 2020 (2020)
Alcides Fonseca, Paulo Santos, Sara Silva
The Usability Argument for Refinement Typed Genetic Programming. PPSN (2) (2020)
Nuno Martins, Daniel Brandão, Heitor Alvelos, Sara Silva
E-Marketplace as a Tool for the Revitalization of Portuguese Craft Industry: The Design Process in the Development of an Online Platform. Future Internet 12 (11) (2020)
Paulo Santos, Sara Silva, Alcides Fonseca
Refined typed genetic programming as a user interface for genetic programming. GECCO Companion (2020)
Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini
A Vectorial Approach to Genetic Programming. EuroGP (2019)
João E. Batista, Nuno M. Rodrigues, Sara Silva
To adapt or not to adapt, or the beauty of random settings. GECCO (Companion) (2019)
Rafael Fazzolino, Auri Marcelo Rizzo Vincenzi, Sara Silva, Letícia de Souza, Rejane M. da C. Figueiredo, Cristiane Soares Ramos, Luiz Carlos Miyadaira Ribeiro
Validation process for services produced by digital transformation. CASCON (2019)
Nuno Santos, Carlos E. Salgado, Francisco Morais, Mónica Melo, Sara Silva, Raquel Martins, Marco Pereira, Helena Rodrigues, Ricardo J. Machado, Nuno Ferreira, Manuel Pereira
A logical architecture design method for microservices architectures. ECSA (Companion) (2019)
Luis Muñoz, Leonardo Trujillo, Sara Silva, Mauro Castelli, Leonardo Vanneschi
Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Comput. 11 (2) (2019)
William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore
Multidimensional genetic programming for multiclass classification. Swarm Evol. Comput. 44 (2019)
Sara Silva, Leonardo Vanneschi, Ana I. R. Cabral, Maria José Alves do Rio Perestrelo de Vasconcelos
A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. Swarm Evol. Comput. 39 (2018)
Sara Silva, Ricardo Ribeiro, Rúben Pereira
Less is more in incident categorization (Short Paper). SLATE (2018)
William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore
A multidimensional genetic programming approach for identifying epsistatic gene interactions. GECCO (Companion) (2018)
Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Vanneschi, Ales Popovic
The influence of population size in geometric semantic GP. Swarm Evol. Comput. 32 (2017)
Uriel López, Leonardo Trujillo, Yuliana Martínez, Pierrick Legrand, Enrique Naredo, Sara Silva
RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. EuroGP (2017)
Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves
PSXO: population-wide semantic crossover. GECCO (Companion) (2017)
William G. La Cava, Sara Silva, Leonardo Vanneschi, Lee Spector, Jason H. Moore
Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. EvoApplications (1) (2017)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Unsure When to Stop? Ask Your Semantic Neighbors. CoRR (2017)
Leonardo Vanneschi, Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Sara Silva
Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. CEC (2017)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Unsure when to stop?: ask your semantic neighbors. GECCO (2017)
Leonardo Trujillo, Emigdio Z.-Flores, Perla S. Juárez-Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze, Luis Muñoz
Local Search is Underused in Genetic Programming. GPTP (2016)
Stefano Beretta, Mauro Castelli, Yuliana Martínez, Luis Muñoz, Sara Silva, Leonardo Trujillo, Luciano Milanesi, Ivan Merelli
A Machine Learning Approach for the Integration of miRNA-Target Predictions. PDP (2016)
Mauro Castelli, Luca Manzoni, Leonardo Vanneschi, Sara Silva, Ales Popovic
Self-tuning geometric semantic Genetic Programming. Genet. Program. Evolvable Mach. 17 (1) (2016)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. GECCO (Companion) (2016)
Enrique Naredo, Leonardo Trujillo, Pierrick Legrand, Sara Silva, Luis Muñoz
Evolving genetic programming classifiers with novelty search. Inf. Sci. 369 (2016)
Leonardo Trujillo, Luis Muñoz, Edgar Galván López, Sara Silva
neat Genetic Programming: Controlling bloat naturally. Inf. Sci. 333 (2016)
Mauro Castelli, Luca Manzoni, Ivo Gonçalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva
An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. IJCCI (ECTA) (2016)
Sara Silva, Luis Muñoz, Leonardo Trujillo, Vijay Ingalalli, Mauro Castelli, Leonardo Vanneschi
Multiclass Classification Through Multidimensional Clustering. GPTP (2015)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca
Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. EPIA (2015)
Mauro Castelli, Sara Silva, Leonardo Vanneschi
A C++ framework for geometric semantic genetic programming. Genet. Program. Evolvable Mach. 16 (1) (2015)
Luis Muñoz, Sara Silva, Leonardo Trujillo
M3GP - Multiclass Classification with GP. EuroGP (2015)
Ana Coelho, João Pedro Ribeiro, Jaime Campos, Sara Silva, Victor Alves
3D Reconstruction of Bone Structures Based on Planar Radiography. ISAmI (2015)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca
On the Generalization Ability of Geometric Semantic Genetic Programming. EuroGP (2015)
Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand
Geometric Semantic Genetic Programming with Local Search. GECCO (2015)
Mauro Castelli, Leonardo Vanneschi, Sara Silva
Corrections to "Semantic Search Based Genetic Programming and the Effect of Introns Deletion". IEEE Trans. Cybern. 44 (4) (2014)
Mauro Castelli, Sara Silva, Luca Manzoni, Leonardo Vanneschi
Geometric Selective Harmony Search. Inf. Sci. 279 (2014)
Mauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto
How to Exploit Alignment in the Error Space: Two Different GP Models. GPTP (2014)
Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi
A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. EuroGP (2014)
Leonardo Vanneschi, Mauro Castelli, Sara Silva
A survey of semantic methods in genetic programming. Genet. Program. Evolvable Mach. 15 (2) (2014)
Mauro Castelli, Leonardo Vanneschi, Sara Silva, Alexandros Agapitos, Michael O'Neill
Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Trans. Cybern. 44 (1) (2014)
Mauro Castelli, Leonardo Vanneschi, Sara Silva
Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators. Expert Syst. Appl. 41 (10) (2014)
Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva
ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. EuroGP (2014)
Leonardo Vanneschi, Sara Silva, Mauro Castelli, Luca Manzoni
Geometric Semantic Genetic Programming for Real Life Applications. GPTP (2013)
Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva
A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. EuroGP (2013)
Alberto Moraglio, Julian Togelius, Sara Silva
Geometric Differential Evolution for Combinatorial and Programs Spaces. Evol. Comput. 21 (4) (2013)
Mauro Castelli, Davide Castaldi, Ilaria Giordani, Sara Silva, Leonardo Vanneschi, Francesco Archetti, Daniele Maccagnola
An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. EPIA (2013)
Pedro Carvalho, Bruno Ribeiro, Nuno M. Rodrigues, João E. Batista, Leonardo Vanneschi, Sara Silva
Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers. EvoApplications@EvoStar (2013)
Mauro Castelli, Sara Silva, Leonardo Vanneschi, Ana I. R. Cabral, Maria J. P. de Vasconcelos, Luís Catarino, João Manuel de Brito Carreiras
Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. EvoApplications (2013)
Sara Silva, Vijay Ingalalli, Susana Vinga, João Manuel de Brito Carreiras, Joana B. Melo, Mauro Castelli, Leonardo Vanneschi, Ivo Gonçalves, José Caldas
Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. EvoApplications (2013)
Ivo Gonçalves, Sara Silva
Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data. EuroGP (2013)
Mauro Castelli, Leonardo Vanneschi, Sara Silva
Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators. Expert Syst. Appl. 40 (17) (2013)
Sara Silva, Leonardo Vanneschi
Bloat free genetic programming: application to human oral bioavailability prediction. Int. J. Data Min. Bioinform. 6 (6) (2012)
Sara Silva, James A. Foster
Guest editorial: special issue on selected papers from the European conference on genetic programming. Genet. Program. Evolvable Mach. 13 (3) (2012)
Sara Silva, João Araújo, Armanda Rodrigues, Matias Urbieta, Ana Moreira, Silvia E. Gordillo, Gustavo Rossi
Reuse of spatial concerns based on aspectual requirements analysis patterns. RCIS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sara Silva