| Building probabilistic networks: " Where do the numbers come from?" MJ Druzdel, LC van der Gaag IEEE Transactions on Knowledge and Data Engineering 12 (4), 481-486, 2000 | 413 | 2000 |
| Bayesian networks in biomedicine and health-care PJF Lucas, LC van der Gaag, A Abu-Hanna Artificial Intelligence in Medicine 30 (3), 201-214, 2004 | 387 | 2004 |
| Principles of Expert Systems PJF Lucas, LC van der Gaag Addison-Wesley, Wokingham, 1991 | 337 | 1991 |
| Elicitation of probabilities for belief networks: Combining qualitative and quantitative information MJ Druzdzel, LC van der Gaag UAI 1995: Uncertainty in Artificial Intelligence, 141-148, 1995 | 281* | 1995 |
| Probabilities for a probabilistic network: a case study in oesophageal cancer LC van der Gaag, S Renooij, CLM Witteman, BMP Aleman, BG Taal Artificial Intelligence in Medicine 25 (2), 123-148, 2002 | 221 | 2002 |
| How to elicit many probabilities LC van der Gaag, S Renooij, CLM Witteman, BMP Aleman, BG Taal UAI 1999: Uncertainty in Artificial Intelligence, 647-654, 1999 | 182* | 1999 |
| Making sensitivity analysis computationally efficient U Kjærulff, LC van der Gaag UAI 2000: Uncertainty in Artificial Intelligence, 317-325, 2000 | 180* | 2000 |
| Properties of sensitivity analysis of Bayesian belief networks VMH Coupé, LC van der Gaag Annals of Mathematics and Artificial Intelligence 36 (4), 323-356, 2002 | 176 | 2002 |
| Bayesian belief networks: odds and ends LC van der Gaag The Computer Journal 39 (2), 97-113, 1996 | 121 | 1996 |
| Multi-dimensional Bayesian network classifiers LC van der Gaag, PR de Waal PGM 2006: Workshop on Probabilistic Graphical Models, 107-114, 2006 | 111 | 2006 |
| Learning Bayesian network parameters under order constraints A Feelders, LC van der Gaag International Journal of Approximate Reasoning 42 (1), 37-53, 2006 | 106 | 2006 |
| Sensitivity analysis: an aid for belief-network quantification VMH Coupé, LC van der Gaag, JDF Habbema Knowledge Engineering Review 15 (3), 215-232, 2000 | 99* | 2000 |
| A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients T Charitos, LC van der Gaag, S Visscher, KAM Schurink, PJF Lucas Expert Systems with Applications 36 (2), 1249-1258, 2009 | 97 | 2009 |
| Building Bayesian networks through ontologies EM Helsper, LC van der Gaag ECAI 2002: European Conference on Artificial Intelligence, 2002 | 94 | 2002 |
| Visual exploration of uncertainty in remote-sensing classification FJM van der Wel, LC van der Gaag, BGH Gorte Computers & Geosciences 24 (4), 335-343, 1998 | 87 | 1998 |
| The necessity of bounded treewidth for efficient inference in Bayesian networks JHP Kwisthout, HL Bodlaender, LC van der Gaag ECAI 2010: Proceedings of the 19th European Conference on Artificial …, 2010 | 77 | 2010 |
| Inference and learning in multi-dimensional Bayesian network classifiers P de Waal, LC van der Gaag ECSQARU 2007: Proceedings of the 9th European Conference on Symbolic and …, 2007 | 75 | 2007 |
| A research agenda for hybrid intelligence: Augmenting human intellect with collaborative, adaptive, responsible, and explainable artificial intelligence Z Akata, D Balliet, M De Rijke, F Dignum, V Dignum, G Eiben, A Fokkens, ... Computer 53 (8), 18-28, 2020 | 70 | 2020 |
| Sensitivity analysis of probabilistic networks LC van der Gaag, S Renooij, VMH Coupé Advances in Probabilistic Graphical Models, 103-124, 2007 | 68 | 2007 |
| Constructing naive Bayesian classifiers for veterinary medicine: A case study in the clinical diagnosis of classical swine fever PL Geenen, LC van der Gaag, WLA Loeffen, ARW Elbers Research in Veterinary Science 91, 64-70, 2011 | 64* | 2011 |
Silja RenooijUD Informatica, Universiteit UtrechtVerified email at uu.nl
