Information Fusion with Distributed Probabilistic Networks. - Patrick de Oude; Brammert Ottens; Gregor Pavlin (Artificial Intelligence and Applications, 2005)

Distributed Bayesian Networks in Highly Dynamic Agent Organizations. - Patrick de Oude; Jan Nunnink; Gregor Pavlin (BNAIC, 2005)

A MAS Approach to Fusion of Heterogeneous Information. - Gregor Pavlin; Patrick de Oude; Jan Nunnink (Web Intelligence, 2005)

Distributed Perception Networks: An Architecture for Information Fusion Systems Based on Causal Probabilistic Models. - Gregor Pavlin; Patrick de Oude; Marinus Maris; Thomas Hood (MFI, 2006)

A modular approach to adaptive Bayesian information fusion. - Patrick de Oude; Gregor Pavlin; Thomas Hood (FUSION, 2007)

An information theoretic approach to verification of modular Bayesian fusion systems. - Patrick de Oude; Gregor Pavlin (FUSION, 2008)

Constraint-based Approach to Discovery of Inter Module Dependencies in Modular Bayesian Networks. - Patrick de Oude; Gregor Pavlin (FLAIRS, 2009)

Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables. - Patrick de Oude; Gregor Pavlin (IAT, 2009)

Efficient Design and Inference in Distributed Bayesian Networks: An Overview. - Patrick de Oude; Frans C. A. Groen; Gregor Pavlin (TbiLLC, 2009)

Robust Bayesian detection: A case study. - Patrick de Oude; Gregor Pavlin; Joris de Groot (FUSION, 2010)

A multi-agent systems approach to distributed bayesian information fusion. - Gregor Pavlin; Patrick de Oude; Marinus Maris; Jan Nunnink; Thomas Hood (Inf. Fusion, 2010)

A Distributed Approach to Gas Detection and Source Localization Using Heterogeneous Information. - Gregor Pavlin; Frans C. A. Groen; Patrick de Oude; Michiel Kamermans (Interactive Collaborative Information Systems, 2010)

Dynamic process integration framework: A novel approach to efficient implementation of robust distributed information fusion systems. - Gregor Pavlin; Patrick de Oude; Michiel Kamermans; Frans C. A. Groen (FUSION, 2011)

Gas detection and source localization: A Bayesian approach. - Gregor Pavlin; Patrick de Oude; Franck Mignet (FUSION, 2011)

Towards Characterizing Distributed Complex Situation Assessment as Workflows in Loosely Coupled Systems. - Costin Badica; Claudine Conrado; Franck Mignet; Patrick de Oude; Gregor Pavlin (IDC, 2012)

Evaluating complex fusion systems based on causal probabilistic models. - Franck Mignet; Gregor Pavlin; Patrick de Oude; Paulo Cesar G. da Costa (FUSION, 2013)

Scenario-based reasoning and probabilistic models for decision support. - Claudine Conrado; Patrick de Oude (FUSION, 2014)

A framework for inferring predictive distributions of rhino poaching events through causal modelling. - Hildegarde Koen; Johan Pieter de Villiers; Gregor Pavlin; Alta de Waal; Patrick de Oude; Franck Mignet (FUSION, 2014)

Context driven tracking using particle filters. - Rik Claessens; Gregor Pavlin; Patrick de Oude (FUSION, 2015)

Attractor-directed particle filtering with potential fields. - Patrick de Oude; Gregor Pavlin; Rik Claessens (FUSION, 2016)

Evaluation of a canonical model approach to probabilistic data association in tracking with particle filters. - Gregor Pavlin; Rik Claessens; Patrick de Oude; Paulo C. G. Costa (FUSION, 2016)

Managing Dynamicity in SoS. - Sara Bouchenak; Francesco Brancati; Andrea Ceccarelli; Sorin M. Iacob; Nicolas Marchand; Bogdan Robu; Patrick de Oude (Cyber-Physical Systems of Systems, 2016)

High-Level Tracking Using Bayesian Context Fusion. - Patrick de Oude; Gregor Pavlin; Johan Pieter de Villiers (FUSION, 2018)

Towards the Rational Development and Evaluation of Complex Fusion Systems: A URREF-Driven Approach. - Gregor Pavlin; Anne-Laure Jousselme; Johan Pieter de Villiers; Paulo C. G. Costa; Patrick de Oude (FUSION, 2018)