Следене
Mauro Castelli
Mauro Castelli
NOVA IMS, Universidade Nova de Lisboa
Потвърден имейл адрес: novaims.unl.pt
Заглавие
Позовавания
Позовавания
Година
The impact of big data analytics on firms’ high value business performance
A Popovič, R Hackney, R Tassabehji, M Castelli
Information Systems Frontiers 20, 209-222, 2018
2832018
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
2752012
Better GP benchmarks: community survey results and proposals
DR White, J McDermott, M Castelli, L Manzoni, BW Goldman, ...
Genetic Programming and Evolvable Machines 14, 3-29, 2013
2312013
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
2242020
A survey of semantic methods in genetic programming
L Vanneschi, M Castelli, S Silva
Genetic Programming and Evolvable Machines 15, 195-214, 2014
1832014
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
1362010
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
1302015
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
1272013
A C++ framework for geometric semantic genetic programming
M Castelli, S Silva, L Vanneschi
Genetic Programming and Evolvable Machines 16, 73-81, 2015
1212015
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
1162013
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
922014
A machine learning approach to predict air quality in California
M Castelli, FM Clemente, A Popovič, S Silva, L Vanneschi
Complexity 2020, 2020
892020
Predicting burned areas of forest fires: an artificial intelligence approach
M Castelli, L Vanneschi, A Popovič
Fire ecology 11 (1), 106-118, 2015
802015
Transfer learning with convolutional neural networks for diabetic retinopathy image classification. A review
I Kandel, M Castelli
Applied Sciences 10 (6), 2021, 2020
782020
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
702018
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
602014
Comparative study of first order optimizers for image classification using convolutional neural networks on histopathology images
I Kandel, M Castelli, A Popovič
Journal of imaging 6 (9), 92, 2020
562020
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
462015
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
462015
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
442014
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