Browsing by Author "Pallotta, Giuliana"
Now showing items 1-5 of 5
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Data-driven detection and context-based classification of maritime anomalies
Pallotta, Giuliana; Jousselme, Anne-Laure (CMRE, 2019/06)Discovering anomalies at sea is one of the critical tasks of Maritime Situational Awareness (MSA) activities and an important enabler for maritime security operations. This paper proposes a data-driven approach to anomaly ... -
Dissecting uncertainty-based fusion techniques for maritime anomaly detection
Jousselme, Anne-Laure; Pallotta, Giuliana (CMRE, 2019/06)Detecting and classifying anomalies for Maritime Situation Awareness gets a lot of benefit from the combination of multiple sources, correlating their output for detecting inconsistencies in vessels' behaviour. Adequate ... -
Mining maritime vessel traffic: promises, challenges, techniques
Cazzanti, Luca; Pallotta, Giuliana (CMRE, 2019/06)This paper discusses machine learning and data mining approaches to analyzing maritime vessel traffic based on the Automated Information System (AIS). We review recent efforts to apply machine learning techniques to AIS ... -
Validation of the Ornstein-Uhlenbeck route propagation model in the Mediterranean Sea
Millefiori, Leonardo; Pallotta, Giuliana; Braca, Paolo; Horn, Steven A.; Bryan, Karna (CMRE, 2019/06)Traffic route analysis and prediction are both crucial to maritime security. The ability to predict a vessel position in the future is essential to provide information on upcoming events. However, accurate prediction along ... -
Vessel pattern knowledge discovery from AIS data: a framework for anomaly detection and route prediction
Pallotta, Giuliana; Vespe, Michele; Bryan, Karna (CMRE, 2014/01)Understanding maritime traffic patterns is key to Maritime Situational Awareness applications, in particular, to classify and predict activities. Facilitated by the recent build-up of terrestrial networks and satellite ...