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Mauro Castelli
Mauro Castelli
Full Professor at NOVA IMS, Universidade Nova de Lisboa
Dirección de correo verificada de novaims.unl.pt
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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
5462020
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
4772018
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
3212012
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
2742013
A machine learning approach to predict air quality in California
M Castelli, FM Clemente, A Popovič, S Silva, L Vanneschi
Complexity 2020 (1), 8049504, 2020
2532020
A survey of semantic methods in genetic programming
L Vanneschi, M Castelli, S Silva
Genetic Programming and Evolvable Machines 15, 195-214, 2014
2232014
Transfer learning with convolutional neural networks for diabetic retinopathy image classification. A review
I Kandel, M Castelli
Applied Sciences 10 (6), 2021, 2020
2022020
Structural similarity index (SSIM) revisited: A data-driven approach
I Bakurov, M Buzzelli, R Schettini, M Castelli, L Vanneschi
Expert Systems with Applications 189, 116087, 2022
1832022
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
1802013
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
1762010
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
1592015
A C++ framework for geometric semantic genetic programming
M Castelli, S Silva, L Vanneschi
Genetic Programming and Evolvable Machines 16, 73-81, 2015
1472015
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
1382013
Predicting burned areas of forest fires: an artificial intelligence approach
M Castelli, L Vanneschi, A Popovič
Fire ecology 11, 106-118, 2015
1192015
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
1162014
Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
F Cruz-Jesus, M Castelli, T Oliveira, R Mendes, C Nunes, M Sa-Velho, ...
Heliyon 6 (6), 2020
1152020
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
1132018
Combinatorial optimization problems and metaheuristics: Review, challenges, design, and development
F Peres, M Castelli
Applied Sciences 11 (14), 6449, 2021
1072021
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
912020
A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach
R Costa-Mendes, T Oliveira, M Castelli, F Cruz-Jesus
Education and Information Technologies 26 (2), 1527-1547, 2021
852021
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Artículos 1–20