165 citations · 536 across the 24 of their papers we have counts for
8 papers · 1 filter
Data augmentation approaches for improving animal audio classification
Loris Nanni, Gianluca Maguolo, Michelangelo Paci
In this paper we present ensembles of classifiers for automated animal audio classification, exploiting different data augmentation techniques for training Convolutional Neural Net…
Audiogmenter: a MATLAB Toolbox for Audio Data Augmentation
Gianluca Maguolo, Michelangelo Paci, Loris Nanni +1
Audio data augmentation is a key step in training deep neural networks for solving audio classification tasks. In this paper, we introduce Audiogmenter, a novel audio data augmenta…
Insect pest image detection and recognition based on bio-inspired methods
Loris Nanni, Gianluca Maguolo, Fabio Pancino
Insect pests recognition is necessary for crop protection in many areas of the world. In this paper we propose an automatic classifier based on the fusion between saliency methods…
Learning morphological operators for skin detection
Alessandra Lumini, Loris Nanni, Alice Codogno +1
In this work we propose a novel post processing approach for skin detectors based on trained morphological operators. The first step, consisting in skin segmentation is performed a…
Deep learning for Plankton and Coral Classification
Alessandra Lumini, Loris Nanni, Gianluca Maguolo
Oceans are the essential lifeblood of the Earth: they provide over 70% of the oxygen and over 97% of the water. Plankton and corals are two of the most fundamental components of oc…
iProStruct2D: Identifying protein structural classes by deep learning via 2D representations
Loris Nanni, Alessandra Lumini, Federica Pasquali +1
In this paper we address the problem of protein classification starting from a multi-view 2D representation of proteins. From each 3D protein structure, a large set of 2D projectio…