5 citations · 7 across the 2 of their papers we have counts for
6 papers
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…
Robotic Arm Control and Task Training through Deep Reinforcement Learning
Andrea Franceschetti, Elisa Tosello, Nicola Castaman +1
This paper proposes a detailed and extensive comparison of the Trust Region Policy Optimization and DeepQ-Network with Normalized Advantage Functions with respect to other state of…
Real-time Tracking-by-Detection of Human Motion in RGB-D Camera Networks
Alessandro Malaguti, Marco Carraro, Mattia Guidolin +3
This paper presents a novel real-time tracking system capable of improving body pose estimation algorithms in distributed camera networks. The first stage of our approach introduce…
Proprioceptive Robot Collision Detection through Gaussian Process Regression
Dalla Libera Alberto, Tosello Elisa, Pillonetto Gianluigi +2
This paper proposes a proprioceptive collision detection algorithm based on Gaussian Regression. Compared to sensor-based collision detection and other proprioceptive algorithms, t…
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
Gianluca Maguolo, Loris Nanni, Stefano Ghidoni
Activation functions play a vital role in the training of Convolutional Neural Networks. For this reason, to develop efficient and performing functions is a crucial problem in the…
Ensemble of Deep Learned Features for Melanoma Classification
Loris Nanni, Alessandra Lumini, Stefano Ghidoni
The aim of this work is to propose an ensemble of descriptors for Melanoma Classification, whose performance has been evaluated on validation and test datasets of the melanoma chal…