Search Results - "Capobianco, Samuele"

Context-Based Energy Disaggregation in Smart Homes by Paradiso, Francesca, Paganelli, Federica, Giuli, Dino, Capobianco, Samuele

“…In this paper, we address the problem of energy conservation and optimization in residential environments by providing users with useful information to solicit…”
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Deep neural networks for record counting in historical handwritten documents by Capobianco, Samuele, Marinai, Simone

“…•Convolutional neural networks can be used to count the number of handwritten records.•It is possible to generate synthetic handwritten documents simulating…”
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Deep Learning Methods for Vessel Trajectory Prediction Based on Recurrent Neural Networks by Capobianco, Samuele, Millefiori, Leonardo M., Forti, Nicola, Braca, Paolo, Willett, Peter

“…Data-driven methods open up unprecedented possibilities for maritime surveillance using automatic identification system (AIS) data. In this work, we explore…”
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Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction With Uncertainty Estimation by Capobianco, Samuele, Forti, Nicola, Millefiori, Leonardo Maria, Braca, Paolo, Willett, Peter

“…Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS)…”
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DocEmul: A Toolkit to Generate Structured Historical Documents by Capobianco, Samuele, Marinai, Simone

“…We propose a toolkit to generate structured synthetic documents emulating the actual document production process. Synthetic documents can be used to train…”
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Deepdocclassifier: Document classification with deep Convolutional Neural Network by Afzal, Muhammad Zeshan, Capobianco, Samuele, Malik, Muhammad Imran, Marinai, Simone, Breuel, Thomas M., Dengel, Andreas, Liwicki, Marcus

“…This paper presents a deep Convolutional Neural Network (CNN) based approach for document image classification. One of the main requirement of deep CNN…”
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DocEmul: a Toolkit to Generate Structured Historical Documents by Capobianco, Samuele, Marinai, Simone

“…We propose a toolkit to generate structured synthetic documents emulating the actual document production process. Synthetic documents can be used to train…”
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Record Counting in Historical Handwritten Documents with Convolutional Neural Networks by Capobianco, Samuele, Marinai, Simone

“…In this paper, we investigate the use of Convolutional Neural Networks for counting the number of records in historical handwritten documents. With this work…”
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Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation by Capobianco, Samuele, Forti, Nicola, Millefiori, Leonardo M, Braca, Paolo, Willett, Peter

“…Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical Automatic Identification System (AIS)…”
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Uncertainty-Aware Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction by Capobianco, Samuele, Forti, Nicola, Millefiori, Leonardo M., Braca, Paolo, Willett, Peter

“…In this paper, we propose a deep learning framework for sequence-to-sequence vessel trajectory prediction based on encoder-decoder recurrent neural networks to…”
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Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks by Capobianco, Samuele, Millefiori, Leonardo M, Forti, Nicola, Braca, Paolo, Willett, Peter

“…IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 6, pp. 4329-4346, 2021 Data-driven methods open up unprecedented possibilities for maritime…”
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Vehicle classification based on convolutional networks applied to FM-CW radar signals by Capobianco, Samuele, Facheris, Luca, Cuccoli, Fabrizio, Marinai, Simone

“…Springer, Cham, 2018, ISBN: 978-3-319-75608-0 This paper investigates the processing of Frequency Modulated-Continuos Wave (FM-CW) radar signals for vehicle…”
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