activity
20182026
most citedThe computerization of archaeology: survey on AI techniques

33 citations · 72 across the 9 of their papers we have counts for

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12 papers · 1 filter

cs.CV2021

High performing ensemble of convolutional neural networks for insect pest image detection

Loris Nanni, Alessandro Manfe, Gianluca Maguolo +2

Pest infestation is a major cause of crop damage and lost revenues worldwide. Automatic identification of invasive insects would greatly speedup the identification of pests and exp…

cs.CV20214 cited

Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation

Alessandra Lumini, Loris Nanni, Gianluca Maguolo

Semantic segmentation has a wide array of applications ranging from medical-image analysis, scene understanding, autonomous driving and robotic navigation. This work deals with med…

cs.CV2021

Comparison of different convolutional neural network activation functions and methods for building ensembles

Loris Nanni, Gianluca Maguolo, Sheryl Brahnam +1

Recently, much attention has been devoted to finding highly efficient and powerful activation functions for CNN layers. Because activation functions inject different nonlinearities…

cs.CV20202 cited

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…

cs.CV20201 cited

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…

cs.CV2019

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…