Genetic programming needs better benchmarks J McDermott, DR White, S Luke, L Manzoni, M Castelli, L Vanneschi, ... Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 290 | 2012 |
Open issues in genetic programming M O’Neill, L Vanneschi, S Gustafson, W Banzhaf Genetic Programming and Evolvable Machines 11, 339-363, 2010 | 259 | 2010 |
A survey of semantic methods in genetic programming L Vanneschi, M Castelli, S Silva Genetic Programming and Evolvable Machines 15, 195-214, 2014 | 191 | 2014 |
An empirical study of multipopulation genetic programming F Fernandez, M Tomassini, L Vanneschi Genetic Programming and Evolvable Machines 4, 21-51, 2003 | 166 | 2003 |
A study of fitness distance correlation as a difficulty measure in genetic programming M Tomassini, L Vanneschi, P Collard, M Clergue Evolutionary computation 13 (2), 213-239, 2005 | 154 | 2005 |
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 | 142 | 2010 |
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 | 141 | 2013 |
Prediction of energy performance of residential buildings: A genetic programming approach M Castelli, L Trujillo, L Vanneschi, A Popovič Energy and Buildings 102, 67-74, 2015 | 138 | 2015 |
A machine learning approach to predict air quality in California M Castelli, FM Clemente, A Popovič, S Silva, L Vanneschi Complexity 2020, 2020 | 126 | 2020 |
A C++ framework for geometric semantic genetic programming M Castelli, S Silva, L Vanneschi Genetic Programming and Evolvable Machines 16, 73-81, 2015 | 126 | 2015 |
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 |
Theory and practice for efficient genetic programming L Vanneschi Université de Lausanne, Faculté des sciences, 2004 | 104 | 2004 |
Improved fully convolutional network with conditional random fields for building extraction S Shrestha, L Vanneschi Remote Sensing 10 (7), 1135, 2018 | 97 | 2018 |
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 | 95 | 2014 |
Genetic programming for computational pharmacokinetics in drug discovery and development F Archetti, S Lanzeni, E Messina, L Vanneschi Genetic Programming and Evolvable Machines 8, 413-432, 2007 | 92 | 2007 |
Predicting burned areas of forest fires: an artificial intelligence approach M Castelli, L Vanneschi, A Popovič Fire ecology 11 (1), 106-118, 2015 | 90 | 2015 |
Fitness clouds and problem hardness in genetic programming L Vanneschi, M Clergue, P Collard, M Tomassini, S Vérel Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 2004 | 84 | 2004 |
Theoretical results in genetic programming: the next ten years? R Poli, L Vanneschi, WB Langdon, NF McPhee Genetic Programming and Evolvable Machines 11, 285-320, 2010 | 82 | 2010 |
Negative slope coefficient: A measure to characterize genetic programming fitness landscapes L Vanneschi, M Tomassini, P Collard, S Vérel Genetic Programming: 9th European Conference, EuroGP 2006, Budapest, Hungary …, 2006 | 81 | 2006 |
An artificial intelligence system for predicting customer default in e-commerce L Vanneschi, DM Horn, M Castelli, A Popovič Expert Systems with Applications 104, 1-21, 2018 | 75 | 2018 |