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Efficient Inference in Bayesian Networks with Continuous Variables A Discretization and Knowledge Compilation Approach2023 SSRN Electronic Journal preprint Computer Science Bayesian Modeling and Causal Inference Open access
Maarten Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova
2citations -
Visual Assistance in Development and Validation of Bayesian Networks for Clinical Decision Support2022 IEEE Transactions on Visualization and Computer Graphics article Computer Science Bayesian Modeling and Causal Inference Open access
Juliane Müller, Seyedbehnam Beladi, Stephanie Vrede, Monique Meuschke, Peter Lucas, Johanna M. A. Pijnenborg, +1 more
7citations -
Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data2026 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Bayesian Modeling and Causal Inference Open access
Damy M. F. Ha, Thalea Schlender, Yvette M. van der Linden, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Optimizing Causal Interventions in Hybrid Bayesian Networks2024 Lecture notes in networks and systems conference-paper Computer Science Bayesian Modeling and Causal Inference Open access
Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more
1citations -
Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study
Richard A. J. Howey, Jonathan Adam, Jerzy Adamski, Natalie N. Atabaki, Søren Brunak, Piotr Jaroslaw Chmura, +32 more
1citations -
Unified field theoretical approach to deep and recurrent neuronal networks2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access
Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Moritz Helias
17citations