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)

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)

Online System Evaluation and Learning of Data Source Models: a Probabilistic Generative Approach. - Gregor Pavlin; Anne-Laure Jousselme; Johan Pieter de Villiers; Paulo C. G. Costa; Kathryn B. Laskey; Franck Mignet; Alta de Waal (FUSION, 2019)

Context-Based Vessel Trajectory Forecasting: A Probabilistic Approach Combining Dynamic Bayesian Networks with an Auxiliary Position Determination Process. - Lennard Jansen; Gregor Pavlin; Alexander Atamas; Franck Mignet (FUSION, 2020)

Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces. - Clemens Heistracher; Franck Mignet; Sven Schlarb (ICAI, 2020)

Continuous Model Evaluation and Adaptation to Distribution Shifts: A Probabilistic Self-Supervised Approach. - Gregor Pavlin; Johan Pieter de Villiers; Kathryn B. Laskey; Franck Mignet; Lennard Jansen (FUSION, 2022)

Qualitative Models of Data Generation Processes: Facilitating Data-Intensive AI Solutions. - Gregor Pavlin; Kathryn B. Laskey; Franck Mignet; Filip S. Slijkhuis; Erik Blasch; Valentina Dragos; Johan Pieter de Villiers; Lennard Jansen (FUSION, 2023)

CEASEFIRE: An AI-Powered System for Combating Illicit Firearms Trafficking. - Jorgen Cani; Ioannis Mademlis; Marina Mancuso; Caterina Paternoster; Emmanouil Adamakis; George Margetis; Sylvie Chambon; Alain Crouzil; Loubna Lechelek; Georgia Dede; Spyridon Evangelatos; George Lalas; et al. (IEEE Big Data, 2024)

Vision Paper: Incorporating Domain Knowledge in Information Retrieval Systems to Streamline Incident Investigation. - Franck Mignet; Valeriu-Daniel Stanciu; Susanne Plank-Konrad (IEEE Big Data, 2024)

A Qualitative Causal Approach to Determining Adequate Training Data Quantity for Machine Learning. - Franck Mignet; Filip S. Slijkhuis; A. Abouhafc; Gregor Pavlin; Kathryn B. Laskey (FUSION, 2024)

CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking. - Ioannis Mademlis; Jorgen Cani; Marina Mancuso; Caterina Paternoster; Emmanouil Adamakis; George Margetis; Sylvie Chambon; Alain Crouzil; Loubna Lechelek; Georgia Dede; Spyridon C. Evangelatos; George Lalas; et al. (CoRR, 2024)