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Data-driven detection and context-based classification of maritime anomalies.

, and . FUSION, page 1152-1159. IEEE, (2015)

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Interpreted systems for situation analysis., and . FUSION, page 1-11. IEEE, (2007)Information and Source Quality Ontology in Support to Maritime Situational Awareness., and . FUSION, page 1-5. IEEE, (2018)Reducing Algorithm Complexity for Computing an Aggregate Uncertainty Measure., , , and . IEEE Trans. Syst. Man Cybern. Part A, 37 (5): 669-679 (2007)Robust combination rules for evidence theory., , , and . Inf. Fusion, 10 (2): 183-197 (2009)Mobility Data: A Perspective from the Maritime Domain., , , , , and . Big Data Analytics for Time-Critical Mobility Forecasting, Springer, (2020)Logical and Evidential Inconsistencies Meet: First Steps., , , and . BELIEF, volume 12915 of Lecture Notes in Computer Science, page 207-214. Springer, (2021)A Note About Entropy and Inconsistency in Evidence Theory., , , and . BELIEF, volume 12915 of Lecture Notes in Computer Science, page 215-223. Springer, (2021)Stochastic fusion of heterogeneous multisensor information for robust data-to-decision., , , and . FUSION, page 2185-2191. IEEE, (2013)A URREF interpretation of Bayesian network information fusion., , , , and . FUSION, page 1-8. IEEE, (2014)Entropy-Based Metrics for URREF Criteria to Assess Uncertainty in Bayesian Networks for Cyber Threat Detection., , , , , and . FUSION, page 1-8. IEEE, (2019)