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Leonardo Vanneschi
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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
3042012
Open issues in genetic programming
M O’Neill, L Vanneschi, S Gustafson, W Banzhaf
Genetic Programming and Evolvable Machines 11, 339-363, 2010
2652010
A survey of semantic methods in genetic programming
L Vanneschi, M Castelli, S Silva
Genetic Programming and Evolvable Machines 15, 195-214, 2014
1992014
An empirical study of multipopulation genetic programming
F Fernandez, M Tomassini, L Vanneschi
Genetic Programming and Evolvable Machines 4, 21-51, 2003
1672003
A machine learning approach to predict air quality in California
M Castelli, FM Clemente, A Popovič, S Silva, L Vanneschi
Complexity 2020, 2020
1572020
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
1552005
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
1502010
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
1472013
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
1412015
A C++ framework for geometric semantic genetic programming
M Castelli, S Silva, L Vanneschi
Genetic Programming and Evolvable Machines 16, 73-81, 2015
1312015
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
1202013
Improved fully convolutional network with conditional random fields for building extraction
S Shrestha, L Vanneschi
Remote Sensing 10 (7), 1135, 2018
1072018
Theory and practice for efficient genetic programming
L Vanneschi
Université de Lausanne, Faculté des sciences, 2004
1042004
Predicting burned areas of forest fires: an artificial intelligence approach
M Castelli, L Vanneschi, A Popovič
Fire ecology 11 (1), 106-118, 2015
982015
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
982014
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
962007
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
852010
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
842004
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
832006
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
822018
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