Martijn de Jongh
Title
Cited by
Cited by
Year
A comparison of structural distance measures for causal Bayesian network models
M de Jongh, MJ Druzdzel
Recent Advances in Intelligent Information Systems, Challenging Problems of …, 2009
502009
Sequences of Mechanisms for Causal Reasoning in Artificial Intelligence
D Dash, M Voortman, M de Jongh
Twenty-Third International Joint Conference on Artificial Intelligence …, 2013
102013
Algorithms for Constraint-Based Learning of Bayesian Network Structures with Large Numbers of Variables
M de Jongh
University of Pittsburgh, 2014
72014
A semi-supervised approach to visualizing and manipulating overlapping communities
PM Dudas, M De Jongh, P Brusilovsky
2013 17th International Conference on Information Visualisation, 180-185, 2013
72013
Adaptive Visualization of Research Communities
M de Jongh, PM Dudas, P Brusilovsky
WUAV 2013, 2013
32013
Evaluation of Rules for Coping with Insufficient Data in Constraint-based Search Algorithms
M de Jongh, M Druzdzel
The Seventh European Workshop on Probabilistic Graphical Models (PGM 2014), 2014
22014
Affective state detection with dynamic bayesian networks
MA de Jongh
Technical report, Delft University of Technology, 2005
22005
Why am I stuck? Causal Logic Models for Token-Level Causal Reasoning
D Dash, M Voortman, M de Jongh
Approaches to Causal Structure Learning Workshop, UAI 2013, 2013
2013
Visualizing Overlapping Latent Communities Using POI-Based Visualizations
PM Dudas, J Ahn, M de Jongh, P Brusilovsky
iConference 2013, 2013
2013
Implementing and improving a method for non-invasive elicitation of probabilities for Bayesian networks
M de Jongh, M Druzdzel, L Rothkrantz
Proceedings of the 2007 international conference on Computer systems and …, 2007
2007
MSc Thesis Implementing and Improving a Method for Non-Invasive Elicitation of Probabilities for Bayesian Networks
MA de Jongh
2007
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Articles 1–11