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2020 – today
- 2024
- [j35]Rita Torres Sousa
, Sara Silva
, Catia Pesquita
:
Explaining protein-protein interactions with knowledge graph-based semantic similarity. Comput. Biol. Medicine 170: 108076 (2024) - [j34]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: 108216 (2024) - [j33]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: 108352 (2024) - [j32]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): 6 (2024) - [j31]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): 17 (2024) - [j30]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): 91 (2024) - [c84]João Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Sara Silva:
Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. CEC 2024: 1-8 - [c83]João Eduardo Batista, Nuno Miguel Rodrigues, Leonardo Vanneschi, Sara Silva:
M6GP: Multiobjective Feature Engineering. CEC 2024: 1-8 - 2023
- [b1]Leonardo Vanneschi
, Sara Silva
:
Lectures on Intelligent Systems. Natural Computing Series, Springer 2023, ISBN 978-3-031-17921-1, pp. 1-331 - [j29]Rita Torres Sousa
, Sara Silva
, Catia Pesquita:
Supervised Biomedical Semantic Similarity. IEEE Access 11: 60635-60645 (2023) - [c82]Rita Torres Sousa, Sara Silva, Catia Pesquita:
Benchmark Datasets for Biomedical Knowledge Graphs with Negative Statements. SeWeBMeDA@ESWC 2023 - [c81]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 2023: 656-671 - [c80]Philipp Fleck
, Stephan M. Winkler
, Michael Kommenda
, Sara Silva
, Leonardo Vanneschi
, Michael Affenzeller
:
Evolutionary Algorithms for Segment Optimization in Vectorial GP. GECCO Companion 2023: 439-442 - [c79]Karina Brotto Rebuli
, Mario Giacobini
, Sara Silva
, Leonardo Vanneschi
:
A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. GECCO Companion 2023: 539-542 - [c78]Nuno M. Rodrigues
, José G. de Almeida
, Sara Silva
:
Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. GECCO Companion 2023: 627-630 - [c77]Giorgia Nadizar
, Fraser Garrow
, Berfin Sakallioglu
, Lorenzo Canonne
, Sara Silva
, Leonardo Vanneschi
:
An Investigation of Geometric Semantic GP with Linear Scaling. GECCO 2023: 1165-1174 - [c76]Rita Torres Sousa, Sara Silva, Catia Pesquita:
Explainable Representations for Relation Prediction in Knowledge Graphs. KR 2023: 635-646 - [c75]Sara Silva
, Breno Bernard Nicolau de França
:
A Case Study on Data Science Processes in an Academia-Industry Collaboration. SBQS 2023: 1-10 - [c74]Rita Torres Sousa
, Sara Silva
, Heiko Paulheim
, Catia Pesquita
:
Biomedical Knowledge Graph Embeddings with Negative Statements. ISWC 2023: 428-446 - [e9]Sara Silva, Luís Paquete:
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2023, Lisbon, Portugal, July 15-19, 2023. ACM 2023, ISBN 979-8-4007-0119-1 [contents] - [e8]Sara Silva, Luís Paquete:
Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023. ACM 2023, ISBN 979-8-4007-0120-7 [contents] - [e7]Leonardo Trujillo
, Stephan M. Winkler
, Sara Silva
, Wolfgang Banzhaf
:
Genetic Programming Theory and Practice XIX [GPTP 2022]. Springer 2023, ISBN 978-981-19-8459-4 [contents] - [i9]Rita Torres Sousa, Sara Silva, Catia Pesquita:
Explainable Representations for Relation Prediction in Knowledge Graphs. CoRR abs/2306.12687 (2023) - [i8]Rita Torres Sousa, Sara Silva, Catia Pesquita:
Benchmark datasets for biomedical knowledge graphs with negative statements. CoRR abs/2307.11719 (2023) - [i7]Rita Torres Sousa, Sara Silva, Heiko Paulheim, Catia Pesquita:
Biomedical Knowledge Graph Embeddings with Negative Statements. CoRR abs/2308.03447 (2023) - [i6]José Guilherme de Almeida, Nuno M. Rodrigues, Sara Silva, Nickolas Papanikolaou:
Testing the Segment Anything Model on radiology data. CoRR abs/2312.12880 (2023) - 2022
- [j28]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: 711-726 (2022) - [c73]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: 549-556 - [c72]João E. Batista
, Sara Silva
:
Comparative study of classifier performance using automatic feature construction by M3GP. CEC 2022: 1-8 - [c71]Rita Torres Sousa, Sara Silva, Catia Pesquita:
The Supervised Semantic Similarity Toolkit. ESWC (Satellite Events) 2022: 42-46 - [c70]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: 68-84 - [c69]João E. Batista, Sara Silva:
Evolving a cloud-robust water index with genetic programming. GECCO Companion 2022: 55-56 - [c68]Rita Torres Sousa, Sara Silva, Catia Pesquita:
Towards Supervised Biomedical Semantic Similarity. SeWeBMeDA@ESWC 2022 - 2021
- [j27]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): 1623 (2021) - [c67]Rita Torres Sousa, Sara Silva, Catia Pesquita:
evoKGsim+: A Framework for Tailoring Knowledge Graph-Based Similarity for Supervised Learning. ESWC (Satellite Events) 2021: 141-146 - [c66]Alcides Fonseca
, Paulo Santos, Guilherme Espada, Sara Silva
:
Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming. GPTP 2021: 45-62 - [c65]Sara Silva, Jaime Correia, André Bento
, Filipe Araújo
, Raul Barbosa:
μ Viz: Visualization of Microservices. IV 2021: 120-128 - [c64]Rita Torres Sousa, Sara Silva, Catia Pesquita:
Is there data leakage in protein-protein interaction prediction using knowledge graphs? ISWC (Posters/Demos/Industry) 2021 - [i5]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 abs/2102.04179 (2021) - 2020
- [j26]Nuno M. Rodrigues
, Sara Silva
, Leonardo Vanneschi
:
A Study of Generalization and Fitness Landscapes for Neuroevolution. IEEE Access 8: 108216-108234 (2020) - [j25]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: 106097 (2020) - [j24]Rita Torres Sousa
, Sara Silva
, Catia Pesquita
:
Evolving knowledge graph similarity for supervised learning in complex biomedical domains. BMC Bioinform. 21(1): 6 (2020) - [j23]Mauro Castelli
, Fabiana Martins Clemente, Ales Popovic, Sara Silva
, Leonardo Vanneschi
:
A Machine Learning Approach to Predict Air Quality in California. Complex. 2020: 8049504:1-8049504:23 (2020) - [j22]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): 195 (2020) - [j21]Luis Muñoz, Leonardo Trujillo
, Sara Silva
:
Transfer learning in constructive induction with Genetic Programming. Genet. Program. Evolvable Mach. 21(4): 529-569 (2020) - [c63]João E. Batista
, Sara Silva
:
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. CEC 2020: 1-8 - [c62]Nuno M. Rodrigues, Sara Silva
, Leonardo Vanneschi
:
A Study of Fitness Landscapes for Neuroevolution. CEC 2020: 1-8 - [c61]Nuno M. Rodrigues
, João E. Batista
, Sara Silva
:
Ensemble Genetic Programming. EuroGP 2020: 151-166 - [c60]Leonardo Vanneschi
, Mauro Castelli
, Luca Manzoni, Sara Silva
, Leonardo Trujillo:
Is k Nearest Neighbours Regression Better Than GP? EuroGP 2020: 244-261 - [c59]Paulo Santos, Sara Silva
, Alcides Fonseca
:
Refined typed genetic programming as a user interface for genetic programming. GECCO Companion 2020: 251-252 - [c58]Uriel López, Leonardo Trujillo, Sara Silva
, Leonardo Vanneschi
, Pierrick Legrand:
Unlabeled multi-target regression with genetic programming. GECCO 2020: 976-984 - [c57]Alcides Fonseca
, Paulo Santos
, Sara Silva
:
The Usability Argument for Refinement Typed Genetic Programming. PPSN (2) 2020: 18-32 - [i4]Nuno M. Rodrigues, João E. Batista, Sara Silva:
Ensemble Genetic Programming. CoRR abs/2001.07553 (2020) - [i3]Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Fitness Landscapes for Neuroevolution. CoRR abs/2001.11272 (2020) - [i2]João E. Batista, Sara Silva:
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. CoRR abs/2002.00053 (2020)
2010 – 2019
- 2019
- [j20]Luis Muñoz
, Leonardo Trujillo
, Sara Silva
, Mauro Castelli
, Leonardo Vanneschi
:
Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Comput. 11(2): 111-126 (2019) - [j19]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: 260-272 (2019) - [c56]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: 354-364 - [c55]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: 145-151 - [c54]Irene Azzali
, Leonardo Vanneschi
, Sara Silva
, Illya Bakurov
, Mario Giacobini
:
A Vectorial Approach to Genetic Programming. EuroGP 2019: 213-227 - [c53]João E. Batista
, Nuno M. Rodrigues
, Sara Silva
:
To adapt or not to adapt, or the beauty of random settings. GECCO (Companion) 2019: 336-337 - 2018
- [j18]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: 323-338 (2018) - [c52]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: 23-24 - [c51]Sara Silva, Ricardo Ribeiro
, Rúben Pereira
:
Less is more in incident categorization (Short Paper). SLATE 2018: 17:1-17:7 - 2017
- [j17]Mauro Castelli
, Luca Manzoni
, Sara Silva
, Leonardo Vanneschi
, Ales Popovic
:
The influence of population size in geometric semantic GP. Swarm Evol. Comput. 32: 110-120 (2017) - [c50]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: 177-184 - [c49]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: 114-130 - [c48]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: 158-173 - [c47]Leonardo Vanneschi
, Mauro Castelli
, Luca Manzoni
, Krzysztof Krawiec
, Alberto Moraglio
, Sara Silva
, Ivo Gonçalves
:
PSXO: population-wide semantic crossover. GECCO (Companion) 2017: 257-258 - [c46]Ivo Gonçalves
, Sara Silva
, Carlos M. Fonseca
, Mauro Castelli
:
Unsure when to stop?: ask your semantic neighbors. GECCO 2017: 929-936 - [i1]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli:
Unsure When to Stop? Ask Your Semantic Neighbors. CoRR abs/1706.06195 (2017) - 2016
- [j16]Mauro Castelli
, Luca Manzoni
, Leonardo Vanneschi
, Sara Silva
, Ales Popovic
:
Self-tuning geometric semantic Genetic Programming. Genet. Program. Evolvable Mach. 17(1): 55-74 (2016) - [j15]Leonardo Trujillo
, Luis Muñoz, Edgar Galván López
, Sara Silva
:
neat Genetic Programming: Controlling bloat naturally. Inf. Sci. 333: 21-43 (2016) - [j14]Enrique Naredo
, Leonardo Trujillo
, Pierrick Legrand, Sara Silva
, Luis Muñoz:
Evolving genetic programming classifiers with novelty search. Inf. Sci. 369: 347-367 (2016) - [c45]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: 99-100 - [c44]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: 119-137 - [c43]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: 201-208 - [c42]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: 528-534 - 2015
- [j13]Mauro Castelli
, Sara Silva
, Leonardo Vanneschi
:
A C++ framework for geometric semantic genetic programming. Genet. Program. Evolvable Mach. 16(1): 73-81 (2015) - [c41]Ivo Gonçalves
, Sara Silva
, Carlos M. Fonseca
:
Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. EPIA 2015: 280-285 - [c40]Ivo Gonçalves
, Sara Silva
, Carlos M. Fonseca
:
On the Generalization Ability of Geometric Semantic Genetic Programming. EuroGP 2015: 41-52 - [c39]Luis Muñoz, Sara Silva
, Leonardo Trujillo
:
M3GP - Multiclass Classification with GP. EuroGP 2015: 78-91 - [c38]Mauro Castelli
, Leonardo Trujillo
, Leonardo Vanneschi
, Sara Silva
, Emigdio Z.-Flores
, Pierrick Legrand:
Geometric Semantic Genetic Programming with Local Search. GECCO 2015: 999-1006 - [c37]Sara Silva, Luis Muñoz
, Leonardo Trujillo, Vijay Ingalalli, Mauro Castelli, Leonardo Vanneschi:
Multiclass Classification Through Multidimensional Clustering. GPTP 2015: 219-239 - [c36]Ana Coelho
, João Pedro Ribeiro, Jaime Campos, Sara Silva, Victor Alves
:
3D Reconstruction of Bone Structures Based on Planar Radiography. ISAmI 2015: 135-144 - [e6]Sara Silva, Anna Isabel Esparcia-Alcázar:
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015. ACM 2015, ISBN 978-1-4503-3472-3 [contents] - [e5]Sara Silva, Anna Isabel Esparcia-Alcázar:
Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015, Companion Material Proceedings. ACM 2015, ISBN 978-1-4503-3488-4 [contents] - 2014
- [j12]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): 4608-4616 (2014) - [j11]Leonardo Vanneschi
, Mauro Castelli
, Sara Silva
:
A survey of semantic methods in genetic programming. Genet. Program. Evolvable Mach. 15(2): 195-214 (2014) - [j10]Mauro Castelli
, Sara Silva
, Luca Manzoni
, Leonardo Vanneschi
:
Geometric Selective Harmony Search. Inf. Sci. 279: 468-482 (2014) - [j9]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): 103-113 (2014) - [j8]Mauro Castelli
, Leonardo Vanneschi
, Sara Silva
:
Corrections to "Semantic Search Based Genetic Programming and the Effect of Introns Deletion". IEEE Trans. Cybern. 44(4): 565 (2014) - [c35]Vijay Ingalalli, Sara Silva
, Mauro Castelli
, Leonardo Vanneschi
:
A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. EuroGP 2014: 48-60 - [c34]Stefano Ruberto, Leonardo Vanneschi
, Mauro Castelli
, Sara Silva:
ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. EuroGP 2014: 150-161 - [c33]Mauro Castelli
, Leonardo Vanneschi
, Sara Silva
, Stefano Ruberto:
How to Exploit Alignment in the Error Space: Two Different GP Models. GPTP 2014: 133-148 - 2013
- [j7]Alberto Moraglio, Julian Togelius
, Sara Silva
:
Geometric Differential Evolution for Combinatorial and Programs Spaces. Evol. Comput. 21(4): 591-624 (2013) - [j6]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): 6856-6862 (2013) - [c32]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: 78-89 - [c31]Ivo Gonçalves
, Sara Silva
:
Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data. EuroGP 2013: 73-84 - [c30]Leonardo Vanneschi
, Mauro Castelli
, Luca Manzoni
, Sara Silva
:
A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics. EuroGP 2013: 205-216 - [c29]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: 334-343 - [c28]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: 407-417 - [c27]Leonardo Vanneschi, Sara Silva, Mauro Castelli, Luca Manzoni:
Geometric Semantic Genetic Programming for Real Life Applications. GPTP 2013: 191-209 - 2012
- [j5]Sara Silva
, Stephen Dignum, Leonardo Vanneschi
:
Operator equalisation for bloat free genetic programming and a survey of bloat control methods. Genet. Program. Evolvable Mach. 13(2): 197-238 (2012) - [j4]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): 271-273 (2012) - [j3]Sara Silva
, Leonardo Vanneschi
:
Bloat free genetic programming: application to human oral bioavailability prediction. Int. J. Data Min. Bioinform. 6(6): 585-601 (2012) - [c26]Ivo Gonçalves
, Sara Silva
, Joana B. Melo, João Manuel de Brito Carreiras:
Random Sampling Technique for Overfitting Control in Genetic Programming. EuroGP 2012: 218-229 - [c25]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: 1-6 - [e4]Alberto Moraglio
, Sara Silva, Krzysztof Krawiec, Penousal Machado, Carlos Cotta:
Genetic Programming - 15th European Conference, EuroGP 2012, Málaga, Spain, April 11-13, 2012. Proceedings. Lecture Notes in Computer Science 7244, Springer 2012, ISBN 978-3-642-29138-8 [contents] - [e3]Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Isabel Esparcia-Alcázar, Muddassar Farooq, William B. Langdon, Juan Julián Merelo Guervós
, Mike Preuss, Hendrik Richter
, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis:
Applications of Evolutionary Computation - EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings. Lecture Notes in Computer Science 7248, Springer 2012, ISBN 978-3-642-29177-7 [contents] - 2011
- [c24]Mauro Castelli
, Luca Manzoni
, Sara Silva
, Leonardo Vanneschi
:
A Quantitative Study of Learning and Generalization in Genetic Programming. EuroGP 2011: 25-36 - [c23]Leonardo Trujillo
, Sara Silva
, Pierrick Legrand, Leonardo Vanneschi
:
An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming. EuroGP 2011: 262-273 - [c22]Sara Silva
, Orlando Anunciação
, Marco Lotz:
A Comparison of Machine Learning Methods for the Prediction of Breast Cancer. EvoBio 2011: 159-170 - [c21]Alberto Moraglio
, Sara Silva
:
Geometric nelder-mead algorithm on the space of genetic programs. GECCO 2011: 1307-1314 - [c20]Sara Silva
:
Reassembling operator equalisation: a secret revealed. GECCO 2011: 1395-1402 - [c19]Sara Silva
:
Handling bloat in GP. GECCO (Companion) 2011: 1481-1508 - [e2]Sara Silva, James A. Foster, Miguel Nicolau, Penousal Machado, Mario Giacobini
:
Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011. Proceedings. Lecture Notes in Computer Science 6621, Springer 2011, ISBN 978-3-642-20406-7 [contents] - 2010
- [c18]Mauro Castelli
, Luca Manzoni
, Sara Silva
, Leonardo Vanneschi
:
A comparison of the generalization ability of different genetic programming frameworks. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c17]Alberto Moraglio, Sara Silva:
Geometric Differential Evolution on the Space of Genetic Programs. EuroGP 2010: 171-183 - [c16]Marco Lotz, Sara Silva:
Application of Genetic Programming Classification in an Industrial Process Resulting in Greenhouse Gas Emission Reductions. EvoApplications (2) 2010: 131-140 - [c15]Sara Silva, Maria J. P. de Vasconcelos, Joana B. Melo:
Bloat Free Genetic Programming versus Classification Trees for Identification of Burned Areas in Satellite Imagery. EvoApplications (1) 2010: 272-281 - [c14]Leonardo Vanneschi
, Mauro Castelli
, Sara Silva
:
Measuring bloat, overfitting and functional complexity in genetic programming. GECCO 2010: 877-884 - [c13]Sara Silva
:
Handling bloat in GP. GECCO (Companion) 2010: 2769-2794 - [c12]Sara Silva
, Leonardo Vanneschi
:
State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs. IWPACBB 2010: 165-173 - [e1]Anna Isabel Esparcia-Alcázar, Anikó Ekárt, Sara Silva
, Stephen Dignum, A. Sima Etaner-Uyar:
Genetic Programming, 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings. Lecture Notes in Computer Science 6021, Springer 2010, ISBN 978-3-642-12147-0 [contents]
2000 – 2009
- 2009
- [j2]Sara Silva
, Ernesto Costa
:
Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories. Genet. Program. Evolvable Mach. 10(2): 141-179 (2009) - [c11]Leonardo Vanneschi
, Sara Silva
:
Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. EPIA 2009: 65-76 - [c10]Sara Silva
, Stephen Dignum:
Extending Operator Equalisation: Fitness Based Self Adaptive Length Distribution for Bloat Free GP. EuroGP 2009: 159-170 - [c9]Sara Silva
, Leonardo Vanneschi
:
Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. GECCO 2009: 1115-1122 - [c8]António Dourado, Sara Silva
, Lara Aires, João Araújo:
Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring. ICDM 2009: 232-246 - 2008
- [c7]Sara Silva, Marco Fernandes, Pedro Almeida, Joaquim Arnaldo Martins
, Joaquim Sousa Pinto
:
SWIT: an open-source web-based database management system with indexing engine integration. EATIS 2008 - [c6]Sara Silva
, Yao-Ting Tseng
:
Classification of Seafloor Habitats Using Genetic Programming. EvoWorkshops 2008: 315-324 - 2005
- [c5]Sara Silva, Ernesto Costa:
Comparing tree depth limits and resource-limited GP. Congress on Evolutionary Computation 2005: 920-927 - [c4]Sara Silva, Pierre-Alain Fayolle, Johann Vincent, Guillaume Pauron, Christophe Rosenberger
, Christian Toinard:
Evolutionary Computation Approaches for Shape Modelling and Fitting. EPIA 2005: 144-155 - [c3]Sara Silva
, Ernesto Costa
:
Resource-limited genetic programming: the dynamic approach. GECCO 2005: 1673-1680 - 2004
- [c2]Sara Silva, Ernesto Costa:
Dynamic Limits for Bloat Control: Variations on Size and Depth. GECCO (2) 2004: 666-677 - 2003
- [j1]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:
EURISWEB - Web-based epidemiological surveillance of antibiotic-resistant pneumococci in Day Care Centers. BMC Medical Informatics Decis. Mak. 3: 9 (2003) - [c1]Sara Silva, Jonas S. Almeida:
Dynamic Maximum Tree Depth. GECCO 2003: 1776-1787
Coauthor Index
aka: João Eduardo Batista
aka: Maria José Alves do Rio Perestrelo de Vasconcelos
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