no code implementations • 19 Apr 2024 • Leonardo Barcellona, Alberto Bacchin, Matteo Terreran, Emanuele Menegatti, Stefano Ghidoni
The ability of a robot to pick an object, known as robot grasping, is crucial for several applications, such as assembly or sorting.
no code implementations • 8 Apr 2021 • Loris Nanni, Stefano Ghidoni, Sheryl Brahnam
Features play a crucial role in computer vision.
no code implementations • 24 Nov 2020 • Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo
In this paper we classify biomedical images using ensembles of neural networks.
no code implementations • 6 May 2020 • Andrea Franceschetti, Elisa Tosello, Nicola Castaman, Stefano Ghidoni
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 the art algorithms, namely Deep Deterministic Policy Gradient and Vanilla Policy Gradient.
no code implementations • 28 Jul 2019 • Alessandro Malaguti, Marco Carraro, Mattia Guidolin, Luca Tagliapietra, Emanuele Menegatti, Stefano Ghidoni
This paper presents a novel real-time tracking system capable of improving body pose estimation algorithms in distributed camera networks.
no code implementations • 7 May 2019 • Gianluca Maguolo, Loris Nanni, Stefano Ghidoni
The goal of this work is to propose an ensemble of Convolutional Neural Networks trained using several different activation functions.
no code implementations • 20 Jul 2018 • 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 challenge 2018.