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Paolo Braca

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Enrica d'Afflisio

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Publications

2022
[j49]
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Nicola Forti, Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Sandro Carniel, Peter Willett:
Next-Gen Intelligent Situational Awareness Systems for Maritime Surveillance and Autonomous Navigation [Point of View]. Proc. IEEE 110(10): 1532-1537 (2022)
[j47]
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Nicola Forti, Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Peter Willett, Sandro Carniel:
Maritime Anomaly Detection in a Real-World Scenario: Ever Given Grounding in the Suez Canal. IEEE Trans. Intell. Transp. Syst. 23(8): 13904-13910 (2022)
2021
[j41]
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  - journals/taes/dAfflisioBW21
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Enrica d'Afflisio, Paolo Braca, Peter Willett:
Malicious AIS Spoofing and Abnormal Stealth Deviations: A Comprehensive Statistical Framework for Maritime Anomaly Detection. IEEE Trans. Aerosp. Electron. Syst. 57(4): 2093-2108 (2021)
[j38]
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  - journals/tsp/AubryBdMMW21
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Augusto Aubry, Paolo Braca, Enrica d'Afflisio, Antonio De Maio, Leonardo Maria Millefiori, Peter Willett:
Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique. IEEE Trans. Signal Process. 69: 270-283 (2021)
[c67]
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  - conf/fusion/dAfflisioBCBW21
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Enrica d'Afflisio, Paolo Braca, Luigi Chisci, Giorgio Battistelli, Peter Willett:
Maritime Anomaly Detection of Malicious Data Spoofing and Stealth Deviations from Nominal Route Exploiting Heterogeneous Sources of Information. FUSION 2021: 1-7
2018
[j26]
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Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Peter Willett:
Detecting Anomalous Deviations From Standard Maritime Routes Using the Ornstein-Uhlenbeck Process. IEEE Trans. Signal Process. 66(24): 6474-6487 (2018)
[c53]
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  - conf/fusion/dAfflisioBM018
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Enrica d'Afflisio, Paolo Braca, Leonardo Maria Millefiori, Peter Willett:
Maritime Anomaly Detection Based on Mean-Reverting Stochastic Processes Applied to a Real-World Scenario. FUSION 2018: 1171-1177

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