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Gianluca Maguolo
Gianluca Maguolo
PhD Student in Computer Science Engineering, University of Padova
Bestätigte E-Mail-Adresse bei phd.unipd.it
Titel
Zitiert von
Zitiert von
Jahr
A critic evaluation of methods for COVID-19 automatic detection from X-ray images
G Maguolo, L Nanni
Information fusion 76, 1-7, 2021
2482021
Data augmentation approaches for improving animal audio classification
L Nanni, G Maguolo, M Paci
Ecological Informatics 57, 101084, 2020
1602020
Insect pest image detection and recognition based on bio-inspired methods
L Nanni, G Maguolo, F Pancino
arXiv preprint arXiv:1910.00296, 2019
1232019
An ensemble of convolutional neural networks for audio classification
L Nanni, G Maguolo, S Brahnam, M Paci
Applied Sciences 11 (13), 5796, 2021
972021
Deep learning for plankton and coral classification
A Lumini, L Nanni, G Maguolo
Applied Computing and Informatics 19 (3/4), 265-283, 2020
752020
Ensemble of convolutional neural networks trained with different activation functions
G Maguolo, L Nanni, S Ghidoni
Expert Systems with Applications 166, 114048, 2021
742021
High performing ensemble of convolutional neural networks for insect pest image detection
L Nanni, A Manfè, G Maguolo, A Lumini, S Brahnam
Ecological Informatics 67, 101515, 2022
702022
Stochastic selection of activation layers for convolutional neural networks
L Nanni, A Lumini, S Ghidoni, G Maguolo
Sensors 20 (6), 1626, 2020
442020
Deep learning and handcrafted features for virus image classification
L Nanni, E De Luca, ML Facin, G Maguolo
Journal of Imaging 6 (12), 143, 2020
332020
General purpose (GenP) bioimage ensemble of handcrafted and learned features with data augmentation
L Nanni, S Brahnam, S Ghidoni, G Maguolo
arXiv preprint arXiv:1904.08084, 2019
292019
Animal sound classification using dissimilarity spaces
L Nanni, S Brahnam, A Lumini, G Maguolo
Applied Sciences 10 (23), 8578, 2020
282020
Audiogmenter: a MATLAB toolbox for audio data augmentation
G Maguolo, M Paci, L Nanni, L Bonan
Applied Computing and Informatics, 2021
192021
Data augmentation for building an ensemble of convolutional neural networks
L Nanni, S Brahnam, G Maguolo
Innovation in Medicine and Healthcare Systems, and Multimedia: Proceedings …, 2019
162019
Deep learning for actinic keratosis classification
L Nanni, M Paci, G Maguolo, S Ghidoni
AIMS Electronics and Electrical Engineering 4 (1), 47-56, 2019
132019
Exploiting Adam-like optimization algorithms to improve the performance of convolutional neural networks
L Nanni, G Maguolo, A Lumini
arXiv preprint arXiv:2103.14689, 2021
112021
Image orientation detection by ensembles of Stochastic CNNs
A Lumini, L Nanni, L Scattolaro, G Maguolo
Machine Learning with Applications 6, 100090, 2021
72021
Deep ensembles based on stochastic activation selection for polyp segmentation
A Lumini, L Nanni, G Maguolo
arXiv preprint arXiv:2104.00850, 2021
72021
Comparisons among different stochastic selections of activation layers for convolutional neural networks for health care
L Nanni, A Lumini, S Ghidoni, G Maguolo
Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data …, 2022
52022
Deep ensembles based on stochastic activations for semantic segmentation
A Lumini, L Nanni, G Maguolo
Signals 2 (4), 820-833, 2021
52021
Comparison of different convolutional neural network activation functions and methods for building ensembles
L Nanni, G Maguolo, S Brahnam, M Paci
arXiv preprint arXiv:2103.15898, 2021
52021
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