Virginia Fernandez Arguedas
Virginia Fernandez Arguedas
Applied Scientist, Amazon
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
Towards smart traffic management systems: Vacant on-street parking spot detection based on video analytics
X Sevillano, E Màrmol, V Fernandez-Arguedas
17th International Conference on Information Fusion (FUSION), 1-8, 2014
Automatic generation of geographical networks for maritime traffic surveillance
VF Arguedas, G Pallotta, M Vespe
17th international conference on information fusion (FUSION), 1-8, 2014
Event detection and clustering for surveillance video summarization
U Damnjanovic, V Fernandez, E Izquierdo, JM Martinez
2008 Ninth International Workshop on Image Analysis for Multimedia …, 2008
Texture-based vessel classifier for electro-optical satellite imagery
VF Arguedas
2015 IEEE International Conference on Image Processing (ICIP), 3866-3870, 2015
Mining vessel tracking data for maritime domain applications
A Alessandrini, M Alvarez, H Greidanus, V Gammieri, VF Arguedas, ...
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
Spatio-temporal data mining for maritime situational awareness
VF Arguedas, F Mazzarella, M Vespe
OCEANS 2015-Genova, 1-8, 2015
Sentinel-1 maritime surveillance: Testing and experiences with long-term monitoring
C Santamaria, M Stasolla, V Fernandez Arguedas, P Argentieri, M Alvarez, ...
JRC Science and Policy Report, 2015
Data driven contextual knowledge from and for maritime situational awareness
A Alessandrini, P Argentieri, MA Alvarez, T Barbas, C Delaney, ...
Context-Awareness in Geographic Information Services (CAGIS 2014) 39, 2014
¿ Por qué decidimos ser voluntarios
MR Agost, V Fernández, J Martínez, E Nebot
Jornades de Foment de la Investigació, 2002
Multi-feature fusion for surveillance video indexing
V Fernandez Arguedas, Q Zhang, K Chandramouli, E Izquierdo
Sentinel-1 contribution to monitoring maritime activity in the Arctic
C Santamaria, H Greidanus, M Fournier, T Eriksen, M Vespe, M Alvarez, ...
Proceedings of the ESA Living Planet Symposium, Prague, Czech Republic, 9-13, 2016
Unsupervised maritime pattern analysis to enhance contextual awareness
VF Arguedas, G Pallotta, M Vespe
Context-Awareness in Geographic Information Services (CAGIS 2014) 50, 2014
The privacy challenges of in-depth video analytics
T Piatrik, V Fernandez, E Izquierdo
2012 IEEE 14th International Workshop on Multimedia Signal Processing (MMSP …, 2012
Object classification based on behaviour patterns
VF Arguedas, E Izquierdo
IET Digital Library, 2011
Multimodal fusion in surveillance applications
VF Arguedas, Q Zhang, E Izquierdo
Fusion in Computer Vision, 161-184, 2014
Ship classification in high and very high resolution satellite SAR imagery
VF Arguedas, D Velotto, B Tings, HarmGreidanus, C Bentes
11th Future Security 2016, 0
Surveillance ontology for legal, ethical and privacy protection based on SKOS
VF Arguedas, E Izquierdo, K Chandramouli
2013 18th International Conference on Digital Signal Processing (DSP), 1-5, 2013
Anomaly detection and knowledge discovery using vessel tracking data
A Alessandrini, M Alvarez, H Greidanus, V Gammieri, FF Arguedas, ...
Proceedings of the Maritime Knowledge Discovery and Anomaly Detection …, 2016
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