165 citations · 536 across the 24 of their papers we have counts for
7 papers · 1 filter
Deep learning and hand-crafted features for virus image classification
Loris Nanni, Eugenio De Luca, Marco Ludovico Facin +1
In this work, we present an ensemble of descriptors for the classification of transmission electron microscopy images of viruses. We propose to combine handcrafted and deep learnin…
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare
Loris Nanni, Alessandra Lumini, Stefano Ghidoni +1
Classification of biological images is an important task with crucial application in many fields, such as cell phenotypes recognition, detection of cell organelles and histopatholo…
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Lucas O. Teixeira, Rodolfo M. Pereira, Diego Bertolini +4
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation…
An Ensemble of Convolutional Neural Networks for Audio Classification
Loris Nanni, Gianluca Maguolo, Sheryl Brahnam +1
In this paper, ensembles of classifiers that exploit several data augmentation techniques and four signal representations for training Convolutional Neural Networks (CNNs) for audi…
The computerization of archaeology: survey on AI techniques
Lorenzo Mantovan, Loris Nanni
This paper analyses the application of artificial intelligence techniques to various areas of archaeology and more specifically: a) The use of software tools as a creative stimulus…
Phasic dopamine release identification using ensemble of AlexNet
Luca Patarnello, Marco Celin, Loris Nanni
Dopamine (DA) is an organic chemical that influences several parts of behaviour and physical functions. Fast-scan cyclic voltammetry (FSCV) is a technique used for in vivo phasic d…