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Sara Silva
Sara Silva
Principal Investigator, LASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de
Verified email at fc.ul.pt - Homepage
Title
Cited by
Cited by
Year
GPLAB-a genetic programming toolbox for MATLAB
S Silva, J Almeida
Proceedings of the Nordic MATLAB conference, 273-278, 2003
356*2003
GPLAB-a genetic programming toolbox for MATLAB
S Silva, J Almeida
Proceedings of the Nordic MATLAB conference, 273-278, 2003
3262003
Spatial prediction of fire ignition probabilities: comparing logistic regression and neural networks
MJP de Vasconcelos, S Silva, M Tome, M Alvim, JMC Pereira
Photogrammetric Engineering and Remote Sensing 67 (1), 73-81, 2001
2982001
A survey of semantic methods in genetic programming
L Vanneschi, M Castelli, S Silva
Genetic Programming and Evolvable Machines 15 (2), 195-214, 2014
1832014
Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories
S Silva, E Costa
Genetic Programming and Evolvable Machines 10 (2), 141-179, 2009
1582009
Measuring bloat, overfitting and functional complexity in genetic programming
L Vanneschi, M Castelli, S Silva
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
1312010
Prediction of high performance concrete strength using genetic programming with geometric semantic genetic operators
M Castelli, L Vanneschi, S Silva
Expert Systems with Applications 40 (17), 6856-6862, 2013
1232013
A C++ framework for geometric semantic genetic programming
M Castelli, S Silva, L Vanneschi
Genetic Programming and Evolvable Machines 16 (1), 73-81, 2015
1222015
Dynamic maximum tree depth - a simple technique for avoiding bloat in tree-based GP
S Silva, J Almeida
Genetic and Evolutionary Computation—GECCO 2003, 1776-1787, 2003
115*2003
A new implementation of geometric semantic GP and its application to problems in pharmacokinetics
L Vanneschi, M Castelli, L Manzoni, S Silva
European Conference on Genetic Programming, 205-216, 2013
1142013
Geometric semantic genetic programming for real life applications
L Vanneschi, S Silva, M Castelli, L Manzoni
Genetic programming theory and practice xi, 191-209, 2014
922014
A machine learning approach to predict air quality in California
M Castelli, FM Clemente, A Popovič, S Silva, L Vanneschi
Complexity 2020, 2020
812020
Balancing learning and overfitting in genetic programming with interleaved sampling of training data
I Gonçalves, S Silva
European Conference on Genetic Programming, 73-84, 2013
772013
Dynamic limits for bloat control - variations on size and depth
S Silva, E Costa
Genetic and Evolutionary Computation–GECCO 2004, 666-677, 2004
70*2004
Random sampling technique for overfitting control in genetic programming
I Gonçalves, S Silva, JB Melo, J Carreiras
European Conference on Genetic Programming, 218-229, 2012
662012
Prediction of the unified Parkinson’s disease rating scale assessment using a genetic programming system with geometric semantic genetic operators
M Castelli, L Vanneschi, S Silva
Expert Systems with Applications 41 (10), 4608-4616, 2014
612014
Operator equalisation for bloat free genetic programming and a survey of bloat control methods
S Silva, S Dignum, L Vanneschi
Genetic Programming and Evolvable Machines 13 (2), 197-238, 2012
612012
neat Genetic Programming: Controlling bloat naturally
L Trujillo, L Muñoz, E Galván-López, S Silva
Information Sciences 333, 21-43, 2016
572016
M3gp–multiclass classification with gp
L Muñoz, S Silva, L Trujillo
European Conference on Genetic Programming, 78-91, 2015
542015
Multidimensional genetic programming for multiclass classification
W La Cava, S Silva, K Danai, L Spector, L Vanneschi, JH Moore
Swarm and evolutionary computation 44, 260-272, 2019
482019
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