Gianluca Maguolo

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 24

Top Topics

Image Classification

Activation Function

Preprocessing Steps

Top Venues

Ecol. Informatics

J. Sci. Comput.

Publications

Loris Nanni, Alessandro Manfe, Gianluca Maguolo, Alessandra Lumini, Sheryl Brahnam
High performing ensemble of convolutional neural networks for insect pest image detection. Ecol. Informatics 67 (2022)
Loris Nanni, Gianluca Maguolo, Alessandra Lumini
Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks. CoRR (2021)
Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci
Comparison of different convolutional neural network activation functions and methods for building ensembles. CoRR (2021)
Gianluca Maguolo, Loris Nanni, Stefano Ghidoni
Ensemble of convolutional neural networks trained with different activation functions. Expert Syst. Appl. 166 (2021)
Loris Nanni, Alessandro Manfe, Gianluca Maguolo, Alessandra Lumini, Sheryl Brahnam
High performing ensemble of convolutional neural networks for insect pest image detection. CoRR (2021)
Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Gianluca Maguolo, Alessandra Lumini
Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks. Sensors 21 (5) (2021)
Alessandra Lumini, Loris Nanni, Gianluca Maguolo
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation. CoRR (2021)
Gianluca Maguolo, Loris Nanni
A critic evaluation of methods for COVID-19 automatic detection from X-ray images. Inf. Fusion 76 (2021)
Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo
Stochastic Selection of Activation Layers for Convolutional Neural Networks. Sensors 20 (6) (2020)
Gianluca Maguolo, Loris Nanni
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images. CoRR (2020)
Loris Nanni, Eugenio De Luca, Marco Ludovico Facin, Gianluca Maguolo
Deep Learning and Handcrafted Features for Virus Image Classification. J. Imaging 6 (12) (2020)
Loris Nanni, Sheryl Brahnam, Gianluca Maguolo
Anatomical Therapeutic Chemical Classification (ATC) With Multi-Label Learners and Deep Features. Int. J. Nat. Comput. Res. 9 (3) (2020)
Loris Nanni, Gianluca Maguolo, Sheryl Brahnam, Michelangelo Paci
An Ensemble of Convolutional Neural Networks for Audio Classification. CoRR (2020)
Loris Nanni, Gianluca Maguolo, Michelangelo Paci
Data augmentation approaches for improving animal audio classification. Ecol. Informatics 57 (2020)
Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare. CoRR (2020)
Loris Nanni, Gianluca Maguolo, Fabio Pancino
Insect pest image detection and recognition based on bio-inspired methods. Ecol. Informatics 57 (2020)
Loris Nanni, Gianluca Maguolo, Fabio Pancino
Research on insect pest image detection and recognition based on bio-inspired methods. CoRR (2019)
Gianmarco Manzini, Gianluca Maguolo, Mario Putti
The High-Order Mixed Mimetic Finite Difference Method for Time-Dependent Diffusion Problems. J. Sci. Comput. 80 (3) (2019)
Gianluca Maguolo, Michelangelo Paci, Loris Nanni, Ludovico Bonan
Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation. CoRR (2019)
Gianluca Maguolo, Loris Nanni, Stefano Ghidoni
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions. CoRR (2019)
Gianmarco Manzini, Gianluca Maguolo, Mario Putti
Correction to: The High-Order Mixed Mimetic Finite Difference Method for Time-Dependent Diffusion Problems. J. Sci. Comput. 80 (3) (2019)
Alessandra Lumini, Loris Nanni, Gianluca Maguolo
Deep learning for Plankton and Coral Classification. CoRR (2019)
Loris Nanni, Gianluca Maguolo, Michelangelo Paci
Data augmentation approaches for improving animal audio classification. CoRR (2019)
Loris Nanni, Sheryl Brahnam, Stefano Ghidoni, Gianluca Maguolo
General Purpose (GenP) Bioimage Ensemble of Handcrafted and Learned Features with Data Augmentation. CoRR (2019)