27 citations · 50 across the 4 of their papers we have counts for
5 papers
Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation
Samuele Capobianco, Nicola Forti, Leonardo M. Millefiori +2
Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical Automatic Identification System (AIS) data and accurately…
Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
Samuele Capobianco, Leonardo M. Millefiori, Nicola Forti +2
Data-driven methods open up unprecedented possibilities for maritime surveillance using Automatic Identification System (AIS) data. In this work, we explore deep learning strategie…
Vehicle classification based on convolutional networks applied to FM-CW radar signals
Samuele Capobianco, Luca Facheris, Fabrizio Cuccoli +1
This paper investigates the processing of Frequency Modulated-Continuos Wave (FM-CW) radar signals for vehicle classification. In the last years deep learning has gained interest i…
DocEmul: a Toolkit to Generate Structured Historical Documents
Samuele Capobianco, Simone Marinai
We propose a toolkit to generate structured synthetic documents emulating the actual document production process. Synthetic documents can be used to train systems to perform docume…
Record Counting in Historical Handwritten Documents with Convolutional Neural Networks
Samuele Capobianco, Simone Marinai
In this paper, we investigate the use of Convolutional Neural Networks for counting the number of records in historical handwritten documents. With this work we demonstrate that tr…