Gplab-a genetic programming toolbox for matlab S Silva, J Almeida Proceedings of the Nordic MATLAB conference, 273-278, 2003 | 372 | 2003 |
GPLAB-a genetic programming toolbox for MATLAB S Silva, J Almeida Proceedings of the Nordic MATLAB conference, 273-278, 2003 | 345 | 2003 |
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 | 316 | 2001 |
A survey of semantic methods in genetic programming L Vanneschi, M Castelli, S Silva Genetic Programming and Evolvable Machines 15, 195-214, 2014 | 195 | 2014 |
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 | 168 | 2009 |
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 | 145 | 2013 |
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 | 143 | 2010 |
A machine learning approach to predict air quality in California M Castelli, FM Clemente, A Popovič, S Silva, L Vanneschi Complexity 2020, 2020 | 137 | 2020 |
A C++ framework for geometric semantic genetic programming M Castelli, S Silva, L Vanneschi Genetic Programming and Evolvable Machines 16, 73-81, 2015 | 130 | 2015 |
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 | 121 | 2003 |
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 | 119 | 2013 |
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 | 98 | 2014 |
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 | 84 | 2013 |
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 | 78 | 2012 |
Dynamic limits for bloat control - variations on size and depth S Silva, E Costa Genetic and Evolutionary Computation–GECCO 2004, 666-677, 2004 | 71 | 2004 |
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 | 69 | 2014 |
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 | 69 | 2012 |
neat Genetic Programming: Controlling bloat naturally L Trujillo, L Muñoz, E Galván-López, S Silva Information Sciences 333, 21-43, 2016 | 65 | 2016 |
M3GP–multiclass classification with GP L Muñoz, S Silva, L Trujillo European Conference on Genetic Programming, 78-91, 2015 | 65 | 2015 |
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 | 54 | 2015 |