Gianluca Maguolo

According to our database, Gianluca Maguolo authored at least 20 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

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

2021

Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks.

Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Gianluca Maguolo, Alessandra Lumini

Sensors, 2021

A critic evaluation of methods for COVID-19 automatic detection from X-ray images.

Gianluca Maguolo, Loris Nanni

Inf. Fusion, 2021

Ensemble of convolutional neural networks trained with different activation functions.

Gianluca Maguolo, Loris Nanni, Stefano Ghidoni

Expert Syst. Appl., 2021

Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation.

Alessandra Lumini, Loris Nanni, Gianluca Maguolo

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

Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks.

Loris Nanni, Gianluca Maguolo, Alessandra Lumini

CoRR, 2021

2020

Stochastic Selection of Activation Layers for Convolutional Neural Networks.

Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo

Sensors, 2020

Deep Learning and Handcrafted Features for Virus Image Classification.

Loris Nanni, Eugenio De Luca, Marco Ludovico Facin, Gianluca Maguolo

J. Imaging, 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

Insect pest image detection and recognition based on bio-inspired methods.

Loris Nanni, Gianluca Maguolo, Fabio Pancino

Ecol. Informatics, 2020

Data augmentation approaches for improving animal audio classification.

Loris Nanni, Gianluca Maguolo, Michelangelo Paci

Ecol. Informatics, 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

An Ensemble of Convolutional Neural Networks for Audio Classification.

Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci

CoRR, 2020

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

The High-Order Mixed Mimetic Finite Difference Method for Time-Dependent Diffusion Problems.

Gianmarco Manzini, Gianluca Maguolo, Mario Putti

J. Sci. Comput., 2019

Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation.

Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan

CoRR, 2019

Research on insect pest image detection and recognition based on bio-inspired methods.

Loris Nanni, Gianluca Maguolo, Fabio Pancino

CoRR, 2019

Deep learning for Plankton and Coral Classification.

Alessandra Lumini, Loris Nanni, Gianluca Maguolo

CoRR, 2019

General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation.

Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Gianluca Maguolo

CoRR, 2019