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Mauro Castelli
Mauro Castelli
Full Professor at NOVA IMS, Universidade Nova de Lisboa
Verified email at novaims.unl.pt
Title
Cited by
Cited by
Year
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
5212020
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
4592018
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
3202012
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
2732013
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
2372020
A survey of semantic methods in genetic programming
L Vanneschi, M Castelli, S Silva
Genetic Programming and Evolvable Machines 15, 195-214, 2014
2242014
Transfer learning with convolutional neural networks for diabetic retinopathy image classification. A review
I Kandel, M Castelli
Applied Sciences 10 (6), 2021, 2020
1932020
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
1752013
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
1752010
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
1612022
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
1482015
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
1392013
Predicting burned areas of forest fires: an artificial intelligence approach
M Castelli, L Vanneschi, A Popovič
Fire ecology 11, 106-118, 2015
1162015
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
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
1102018
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
1002020
Combinatorial optimization problems and metaheuristics: Review, challenges, design, and development
F Peres, M Castelli
Applied Sciences 11 (14), 6449, 2021
962021
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
882020
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
822021
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