Michele Vespe
Michele Vespe
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Vessel pattern knowledge discovery from AIS data: A framework for anomaly detection and route prediction
G Pallotta, M Vespe, K Bryan
Entropy 15 (6), 2218-2245, 2013
Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact
SM Iacus, F Natale, C Santamaria, S Spyratos, M Vespe
Safety Science 129, 104791, 2020
Mapping fishing effort through AIS data
F Natale, M Gibin, A Alessandrini, M Vespe, A Paulrud
PloS one 10 (6), e0130746, 2015
Maritime anomaly detection: A review
M Riveiro, G Pallotta, M Vespe
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1266, 2018
Maritime traffic networks: From historical positioning data to unsupervised maritime traffic monitoring
VF Arguedas, G Pallotta, M Vespe
IEEE Transactions on Intelligent Transportation Systems 19 (3), 722-732, 2017
Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis
C Santamaria, F Sermi, S Spyratos, SM Iacus, A Annunziato, D Tarchi, ...
Safety Science 132, 104925, 2020
Unsupervised learning of maritime traffic patterns for anomaly detection
M Vespe, I Visentini, K Bryan, P Braca
IET Digital Library, 2012
Discovering vessel activities at sea using AIS data: Mapping of fishing footprints
F Mazzarella, M Vespe, D Damalas, G Osio
17th International conference on information fusion (FUSION), 1-7, 2014
Knowledge-based vessel position prediction using historical AIS data
F Mazzarella, VF Arguedas, M Vespe
2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-6, 2015
Human mobility and COVID-19 initial dynamics
SM Iacus, C Santamaria, F Sermi, S Spyratos, D Tarchi, M Vespe
Nonlinear Dynamics 101, 1901-1919, 2020
The Future of Cities–Opportunities, challenges and the way forward. Luxembourg: Publications Office of the European Union
I Vandecasteele, C Baranzelli, A Siragusa, JP Aurambout, V Alberti, ...
doi: https://doi. org/10.2760/375209, JRC116711, 2019
SAR Ship Detection and Self-Reporting Data Fusion Based on Traffic Knowledge
F Mazzarella, M Vespe, C Santamaria
Geoscience and Remote Sensing Letters 12 (8), 1685 - 1689, 2015
A novel anomaly detection approach to identify intentional AIS on-off switching
F Mazzarella, M Vespe, A Alessandrini, D Tarchi, G Aulicino, A Vollero
Expert Systems with Applications 78, 110-123, 2017
Mapping EU fishing activities using ship tracking data
M Vespe, M Gibin, A Alessandrini, F Natale, F Mazzarella, GC Osio
Journal of Maps 12 (Sup1), 520-525, 2016
Quantifying international human mobility patterns using Facebook Network data
S Spyratos, M Vespe, F Natale, I Weber, E Zagheni, M Rango
PloS one 14 (10), e0224134, 2019
Estimated time of arrival using historical vessel tracking data
A Alessandrini, F Mazzarella, M Vespe
IEEE Transactions on Intelligent Transportation Systems 20 (1), 7-15, 2018
Radar target classification using multiple perspectives
M Vespe, CJ Baker, HD Griffiths
IET Radar, Sonar & Navigation 1 (4), 300-307, 2007
Traffic knowledge discovery from AIS data
G Pallotta, M Vespe, K Bryan
Proceedings of the 16th International Conference on Information Fusion, 1996…, 2013
Migration data using social media: A European perspective
S Spyratos, M Vespe, F Natale, I Weber, E Zagheni, M Rango
Publications Office of the European Union, 2018
SAR Image Quality Assessment and Indicators for Vessel and Oil Spill Detection
M Vespe, H Greidanus
IEEE Transactions on Geoscience and Remote Sensing, 1-9, 2012
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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