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A framework for inferring predictive distributions of rhino poaching events through causal modelling.

, , , , , and . FUSION, page 1-7. IEEE, (2014)

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A framework for inferring predictive distributions of rhino poaching events through causal modelling., , , , , and . FUSION, page 1-7. IEEE, (2014)Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables., and . IAT, page 323-330. IEEE Computer Society, (2009)978-0-7695-3801-3.High-Level Tracking Using Bayesian Context Fusion., , and . FUSION, page 1415-1422. IEEE, (2018)Information Fusion with Distributed Probabilistic Networks., , and . Artificial Intelligence and Applications, page 195-201. IASTED/ACTA Press, (2005)Distributed Perception Networks: An Architecture for Information Fusion Systems Based on Causal Probabilistic Models., , , and . MFI, page 303-310. IEEE, (2006)Gas detection and source localization: A Bayesian approach., , and . FUSION, page 1-8. IEEE, (2011)Dynamic process integration framework: A novel approach to efficient implementation of robust distributed information fusion systems., , , and . FUSION, page 1-8. IEEE, (2011)Managing Dynamicity in SoS., , , , , , and . Cyber-Physical Systems of Systems, volume 10099 of Lecture Notes in Computer Science, Springer, (2016)Distributed Bayesian Networks in Highly Dynamic Agent Organizations., , and . BNAIC, page 104-111. Koninklijke Vlaamse Academie van Belie voor Wetenschappen en Kunsten, (2005)Attractor-directed particle filtering with potential fields., , and . FUSION, page 1079-1086. IEEE, (2016)