Linda C. van der Gaag
Linda C. van der Gaag
Senior researcher, Dalle Molle Institute for Artificial Intelligence Research, Lugano, Switzerland
Verified email at idsia.ch
TitleCited byYear
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
3612000
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
3122004
Principles of Expert Systems
PJF Lucas, LC van der Gaag
Addison-Wesley, Wokingham, 1991
2801991
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
2561995
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
1932002
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
1561999
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
1472002
Making sensitivity analysis computationally efficient
U Kjærulff, LC van der Gaag
UAI 2000: Uncertainty in Artificial Intelligence, 317-325, 2000
1222000
Bayesian belief networks: odds and ends
LC van der Gaag
The Computer Journal 39 (2), 97-113, 1996
1191996
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
922009
Learning Bayesian network parameters under order constraints
A Feelders, LC van der Gaag
International Journal of Approximate Reasoning 42 (1), 37-53, 2006
922006
Multi-dimensional Bayesian network classifiers
LC van der Gaag, PR de Waal
PGM 2006: Workshop on Probabilistic Graphical Models, 107-114, 2006
922006
Sensitivity analysis: an aid for belief-network quantification
VMH Coupé, LC van der Gaag, JDF Habbema
Knowledge Engineering Review 15 (3), 215-232, 2000
87*2000
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
801998
Building Bayesian networks through ontologies
EM Helsper, LC van der Gaag
ECAI 2002: European Conference on Artificial Intelligence, 2002
792002
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
612007
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
582010
Sensitivity analysis of probabilistic networks
LC van der Gaag, S Renooij, VMH Coupé
Advances in Probabilistic Graphical Models, 103-124, 2007
572007
Analysing sensitivity data from probabilistic networks
LC van der Gaag, S Renooij
UAI 2001: Uncertainty in Artificial Intelligence, 530-537, 2001
552001
Context-specific sign propagation in qualitative probabilistic networks
S Renooij, LC van der Gaag, S Parsons
Artificial Intelligence 140, 207-230, 2002
522002
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