| 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 | 93 | 2009 |
| 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 | 17 | 2013 |
| Algorithms for Constraint-Based Learning of Bayesian Network Structures with Large Numbers of Variables M de Jongh University of Pittsburgh, 2014 | 9 | 2014 |
| 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 | 7 | 2013 |
| Adaptive Visualization of Research Communities M de Jongh, PM Dudas, P Brusilovsky WUAV 2013, 2013 | 3 | 2013 |
| 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 | 2 | 2014 |
| Affective state detection with dynamic bayesian networks MA de Jongh Technical report, Delft University of Technology, 2005 | 2 | 2005 |
| 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 |
Marek J. DruzdzelUniversity of Pittsburgh, Bialystok University of Technology在 pitt.edu 的电子邮件经过验证
