Mauro Castelli
Mauro Castelli
NOVA IMS, Universidade Nova de Lisboa
Verifierad e-postadress på novaims.unl.pt
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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
2322012
Better GP benchmarks: community survey results and proposals
DR White, J McDermott, M Castelli, L Manzoni, BW Goldman, ...
Genetic Programming and Evolvable Machines 14 (1), 3-29, 2013
2002013
The impact of big data analytics on firms’ high value business performance
A Popovič, R Hackney, R Tassabehji, M Castelli
Information Systems Frontiers 20 (2), 209-222, 2018
1892018
A survey of semantic methods in genetic programming
L Vanneschi, M Castelli, S Silva
Genetic Programming and Evolvable Machines 15 (2), 195-214, 2014
1622014
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
1222010
A C++ framework for geometric semantic genetic programming
M Castelli, S Silva, L Vanneschi
Genetic Programming and Evolvable Machines 16 (1), 73-81, 2015
1122015
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
1082015
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
1052013
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
952013
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
872014
The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset
I Kandel, M Castelli
ICT express 6 (4), 312-315, 2020
642020
Predicting burned areas of forest fires: an artificial intelligence approach
M Castelli, L Vanneschi, A Popovič
Fire ecology 11 (1), 106-118, 2015
612015
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
522014
Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case
M Castelli, L Vanneschi, M De Felice
Energy Economics 47, 37-41, 2015
432015
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
402015
Geometric selective harmony search
M Castelli, S Silva, L Manzoni, L Vanneschi
Information Sciences 279, 468-482, 2014
372014
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
362018
Semantic search-based genetic programming and the effect of intron deletion
M Castelli, L Vanneschi, S Silva
IEEE transactions on cybernetics 44 (1), 103-113, 2013
362013
Genetic algorithm with variable neighborhood search for the optimal allocation of goods in shop shelves
M Castelli, L Vanneschi
Operations Research Letters 42 (5), 355-360, 2014
342014
A multi-dimensional genetic programming approach for multi-class classification problems
V Ingalalli, S Silva, M Castelli, L Vanneschi
European Conference on Genetic Programming, 48-60, 2014
342014
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Artiklar 1–20