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Construction and evaluation of Bayesian networks with expert-defined latent variables.

, , , , , and . FUSION, page 774-781. IEEE, (2016)

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Construction and evaluation of Bayesian networks with expert-defined latent variables., , , , , and . FUSION, page 774-781. IEEE, (2016)High-Level Tracking Using Bayesian Context Fusion., , and . FUSION, page 1415-1422. IEEE, (2018)Evaluation metrics for the practical application of URREF ontology: An illustration on data criteria., , , , , , , and . FUSION, page 1-8. IEEE, (2017)Integrating distributed Bayesian inference and reinforcement learning for sensor management., , , and . FUSION, page 93-101. IEEE, (2009)A framework for inferring predictive distributions of rhino poaching events through causal modelling., , , , , and . FUSION, page 1-7. IEEE, (2014)Towards improved Bayesian fusion through run-time model analysis., and . FUSION, page 1-8. IEEE, (2007)Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables., and . IAT, page 323-330. IEEE Computer Society, (2009)978-0-7695-3801-3.Relations Between Explainability, Evaluation and Trust in AI-Based Information Fusion Systems., , , , , , , , and . FUSION, page 1-9. IEEE, (2021)Dynamic Process Integration Framework: Toward Efficient Information Processing in Complex Distributed Systems., , and . IDC, volume 237 of Studies in Computational Intelligence, page 161-174. Springer, (2009)Context-based feature extraction with wide-angle sonars., and . IROS, page 1304-1309. IEEE, (2000)