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Linda C. van der Gaag
Linda C. van der Gaag
Senior researcher, Dalle Molle Institute for Artificial Intelligence Research, Lugano, Switzerland
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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
4462004
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
4392000
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
4012020
Principles of Expert Systems
PJF Lucas, LC van der Gaag
Addison-Wesley, Wokingham, 1991
3951991
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
298*1995
Making sensitivity analysis computationally efficient
U Kjærulff, LC van der Gaag
UAI 2000: Uncertainty in Artificial Intelligence, 317-325, 2000
243*2000
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
2322002
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
199*1999
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
1972002
Bayesian belief networks: odds and ends
LC van der Gaag
The Computer Journal 39 (2), 97-113, 1996
1381996
Learning Bayesian network parameters under order constraints
A Feelders, LC van der Gaag
International Journal of Approximate Reasoning 42 (1), 37-53, 2006
1212006
Multi-dimensional Bayesian network classifiers
LC van der Gaag, PR de Waal
PGM 2006: Workshop on Probabilistic Graphical Models, 107-114, 2006
1202006
Computer-based decision support in the management of primary gastric non-Hodgkin lymphoma
PJF Lucas, H Boot, BG Taal
Methods of information in medicine 37 (03), 206-219, 1998
1151998
Sensitivity analysis: an aid for belief-network quantification
VMH Coupé, LC van der Gaag, JDF Habbema
Knowledge Engineering Review 15 (3), 215-232, 2000
112*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
1102009
Building Bayesian networks through ontologies
EM Helsper, LC van der Gaag
ECAI 2002: European Conference on Artificial Intelligence, 2002
1042002
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
922010
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
871998
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
832007
Sensitivity analysis of probabilistic networks
LC van der Gaag, S Renooij, VMH Coupé
Advances in Probabilistic Graphical Models, 103-124, 2007
772007
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