| A critic evaluation of methods for COVID-19 automatic detection from X-ray images G Maguolo, L Nanni Information fusion 76, 1-7, 2021 | 257 | 2021 |
| Data augmentation approaches for improving animal audio classification L Nanni, G Maguolo, M Paci Ecological Informatics 57, 101084, 2020 | 173 | 2020 |
| Insect pest image detection and recognition based on bio-inspired methods L Nanni, G Maguolo, F Pancino arXiv preprint arXiv:1910.00296, 2019 | 135 | 2019 |
| An ensemble of convolutional neural networks for audio classification L Nanni, G Maguolo, S Brahnam, M Paci Applied Sciences 11 (13), 5796, 2021 | 106 | 2021 |
| 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 | 82 | 2022 |
| Deep learning for plankton and coral classification A Lumini, L Nanni, G Maguolo Applied Computing and Informatics 19 (3/4), 265-283, 2020 | 81 | 2020 |
| Ensemble of convolutional neural networks trained with different activation functions G Maguolo, L Nanni, S Ghidoni Expert Systems with Applications 166, 114048, 2021 | 77 | 2021 |
| Stochastic selection of activation layers for convolutional neural networks L Nanni, A Lumini, S Ghidoni, G Maguolo Sensors 20 (6), 1626, 2020 | 48 | 2020 |
| 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 | 36 | 2020 |
| Animal sound classification using dissimilarity spaces L Nanni, S Brahnam, A Lumini, G Maguolo Applied Sciences 10 (23), 8578, 2020 | 33 | 2020 |
| 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 | 28 | 2019 |
| Audiogmenter: a MATLAB toolbox for audio data augmentation G Maguolo, M Paci, L Nanni, L Bonan Applied Computing and Informatics, 2021 | 20 | 2021 |
| 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 | 15 | 2019 |
| Deep learning for actinic keratosis classification L Nanni, M Paci, G Maguolo, S Ghidoni AIMS Electronics and Electrical Engineering 4 (1), 47-56, 2019 | 13 | 2019 |
| 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 | 11 | 2021 |
| Image orientation detection by ensembles of Stochastic CNNs A Lumini, L Nanni, L Scattolaro, G Maguolo Machine Learning with Applications 6, 100090, 2021 | 7 | 2021 |
| Deep ensembles based on stochastic activation selection for polyp segmentation A Lumini, L Nanni, G Maguolo arXiv preprint arXiv:2104.00850, 2021 | 7 | 2021 |
| 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 | 6 | 2022 |
| Deep ensembles based on stochastic activations for semantic segmentation A Lumini, L Nanni, G Maguolo Signals 2 (4), 820-833, 2021 | 5 | 2021 |
| On the importance of passive acoustic monitoring filters R Aguiar, G Maguolo, L Nanni, Y Costa, C Silla Jr Journal of Marine Science and Engineering 9 (7), 685, 2021 | 5 | 2021 |
