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Sara Silva
Sara Silva
LASIGE, Informática, Faculdade de Ciências, Universidade de Lisboa
Dirección de correo verificada de fc.ul.pt - Página principal
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Año
GPLAB-a genetic programming toolbox for MATLAB
S Silva, J Almeida
Proceedings of the Nordic MATLAB conference, 273-278, 2003
3942003
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
3492001
A machine learning approach to predict air quality in California
M Castelli, FM Clemente, A Popovič, S Silva, L Vanneschi
Complexity 2020 (1), 8049504, 2020
2742020
A survey of semantic methods in genetic programming
L Vanneschi, M Castelli, S Silva
Genetic Programming and Evolvable Machines 15, 195-214, 2014
2302014
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, 141-179, 2009
1972009
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
1832013
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
1772010
A C++ framework for geometric semantic genetic programming
M Castelli, S Silva, L Vanneschi
Genetic Programming and Evolvable Machines 16, 73-81, 2015
1492015
A new implementation of geometric semantic GP and its application to problems in pharmacokinetics
L Vanneschi, M Castelli, L Manzoni, S Silva
Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria …, 2013
1402013
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
1242003
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
1192014
Balancing learning and overfitting in genetic programming with interleaved sampling of training data
I Gonçalves, S Silva
Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria …, 2013
1022013
Random sampling technique for overfitting control in genetic programming
I Gonçalves, S Silva, JB Melo, JMB Carreiras
Genetic Programming: 15th European Conference, EuroGP 2012, Málaga, Spain …, 2012
922012
M3gp–multiclass classification with gp
L Muñoz, S Silva, L Trujillo
European Conference on Genetic Programming, 78-91, 2015
852015
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, 197-238, 2012
832012
neat Genetic Programming: Controlling bloat naturally
L Trujillo, L Muñoz, E Galván-López, S Silva
Information Sciences 333, 21-43, 2016
792016
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
792014
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
732019
Dynamic limits for bloat control - variations on size and depth
S Silva, E Costa
Genetic and Evolutionary Computation–GECCO 2004, 666-677, 2004
732004
Geometric semantic genetic programming with local search
M Castelli, L Trujillo, L Vanneschi, S Silva, E Z-Flores, P Legrand
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
672015
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