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2020 – today
- 2023
[b1]Leonardo Vanneschi, Sara Silva:
Lectures on Intelligent Systems. Natural Computing Series, Springer 2023, ISBN 978-3-031-17921-1, pp. 1-331- 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) - [c70]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 - [c69]João E. Batista
, Sara Silva:
Comparative study of classifier performance using automatic feature construction by M3GP. CEC 2022: 1-8 - [c68]Rita Torres Sousa, Sara Silva, Catia Pesquita:
The Supervised Semantic Similarity Toolkit. ESWC (Satellite Events) 2022: 42-46 - [c67]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 - [c66]João E. Batista, Sara Silva:
Evolving a cloud-robust water index with genetic programming. GECCO Companion 2022: 55-56 - 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) - [c65]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 - [c64]Sara Silva, Jaime Correia, André Bento, Filipe Araújo, Raul Barbosa:
μ Viz: Visualization of Microservices. IV 2021: 120-128 - [c63]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) - [c62]João E. Batista, Sara Silva:
Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. CEC 2020: 1-8 - [c61]Nuno M. Rodrigues, Sara Silva, Leonardo Vanneschi:
A Study of Fitness Landscapes for Neuroevolution. CEC 2020: 1-8 - [c60]Nuno M. Rodrigues, João E. Batista, Sara Silva:
Ensemble Genetic Programming. EuroGP 2020: 151-166 - [c59]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo:
Is k Nearest Neighbours Regression Better Than GP? EuroGP 2020: 244-261 - [c58]Paulo Santos, Sara Silva, Alcides Fonseca:
Refined typed genetic programming as a user interface for genetic programming. GECCO Companion 2020: 251-252 - [c57]Uriel López, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand:
Unlabeled multi-target regression with genetic programming. GECCO 2020: 976-984 - [c56]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) - [c55]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 - [c54]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 - [c53]Irene Azzali, Leonardo Vanneschi, Sara Silva, Illya Bakurov, Mario Giacobini:
A Vectorial Approach to Genetic Programming. EuroGP 2019: 213-227 - [c52]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) - [c51]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 - [c50]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) - [c49]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 - [c48]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 - [c47]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 - [c46]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves:
PSXO: population-wide semantic crossover. GECCO (Companion) 2017: 257-258 - [c45]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) - [c44]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 - [c43]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 - [c42]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 - [c41]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) - [c40]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 - [c39]Ivo Gonçalves, Sara Silva, Carlos M. Fonseca:
On the Generalization Ability of Geometric Semantic Genetic Programming. EuroGP 2015: 41-52 - [c38]Luis Muñoz, Sara Silva, Leonardo Trujillo:
M3GP - Multiclass Classification with GP. EuroGP 2015: 78-91 - [c37]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand:
Geometric Semantic Genetic Programming with Local Search. GECCO 2015: 999-1006 - [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