General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation. - Loris Nanni; Sheryl Brahnam; Stefano Ghidoni; Gianluca Maguolo (CoRR, 2019)

Deep learning for Plankton and Coral Classification. - Alessandra Lumini; Loris Nanni; Gianluca Maguolo (CoRR, 2019)

Research on insect pest image detection and recognition based on bio-inspired methods. - Loris Nanni; Gianluca Maguolo; Fabio Pancino (CoRR, 2019)

Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation. - Gianluca Maguolo; Michelangelo Paci; Loris Nanni; Ludovico Bonan (CoRR, 2019)

The High-Order Mixed Mimetic Finite Difference Method for Time-Dependent Diffusion Problems. - Gianmarco Manzini; Gianluca Maguolo; Mario Putti (J. Sci. Comput., 2019)

Correction to: The High-Order Mixed Mimetic Finite Difference Method for Time-Dependent Diffusion Problems. - Gianmarco Manzini; Gianluca Maguolo; Mario Putti (J. Sci. Comput., 2019)

An Ensemble of Convolutional Neural Networks for Audio Classification. - Loris Nanni; Gianluca Maguolo; Sheryl Brahnam; Michelangelo Paci (CoRR, 2020)

Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare. - Loris Nanni; Alessandra Lumini; Stefano Ghidoni; Gianluca Maguolo (CoRR, 2020)

Data augmentation approaches for improving animal audio classification. - Loris Nanni; Gianluca Maguolo; Michelangelo Paci (Ecol. Informatics, 2020)

Insect pest image detection and recognition based on bio-inspired methods. - Loris Nanni; Gianluca Maguolo; Fabio Pancino (Ecol. Informatics, 2020)

Anatomical Therapeutic Chemical Classification (ATC) With Multi-Label Learners and Deep Features. - Loris Nanni; Sheryl Brahnam; Gianluca Maguolo (Int. J. Nat. Comput. Res., 2020)

Deep Learning and Handcrafted Features for Virus Image Classification. - Loris Nanni; Eugenio De Luca; Marco Ludovico Facin; Gianluca Maguolo (J. Imaging, 2020)

Stochastic Selection of Activation Layers for Convolutional Neural Networks. - Loris Nanni; Alessandra Lumini; Stefano Ghidoni; Gianluca Maguolo (Sensors, 2020)

Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks. - Loris Nanni; Gianluca Maguolo; Alessandra Lumini (CoRR, 2021)

Comparison of different convolutional neural network activation functions and methods for building ensembles. - Loris Nanni; Gianluca Maguolo; Sheryl Brahnam; Michelangelo Paci (CoRR, 2021)

Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation. - Alessandra Lumini; Loris Nanni; Gianluca Maguolo (CoRR, 2021)

Ensemble of convolutional neural networks trained with different activation functions. - Gianluca Maguolo; Loris Nanni; Stefano Ghidoni (Expert Syst. Appl., 2021)

A critic evaluation of methods for COVID-19 automatic detection from X-ray images. - Gianluca Maguolo; Loris Nanni (Inf. Fusion, 2021)

Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks. - Loris Nanni; Giovanni Minchio; Sheryl Brahnam; Gianluca Maguolo; Alessandra Lumini (Sensors, 2021)

High performing ensemble of convolutional neural networks for insect pest image detection. - Loris Nanni; Alessandro Manfe; Gianluca Maguolo; Alessandra Lumini; Sheryl Brahnam (Ecol. Informatics, 2022)