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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
Adresse e-mail validée de idsia.ch
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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
4102000
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
3842004
Principles of Expert Systems
PJF Lucas, LC van der Gaag
Addison-Wesley, Wokingham, 1991
3351991
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
280*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
2172002
Making sensitivity analysis computationally efficient
U Kjærulff, LC van der Gaag
UAI 2000: Uncertainty in Artificial Intelligence, 317-325, 2000
181*2000
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
181*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
1752002
Bayesian belief networks: odds and ends
LC van der Gaag
The Computer Journal 39 (2), 97-113, 1996
1301996
Multi-dimensional Bayesian network classifiers
LC van der Gaag, PR de Waal
PGM 2006: Workshop on Probabilistic Graphical Models, 107-114, 2006
1122006
Learning Bayesian network parameters under order constraints
A Feelders, LC van der Gaag
International Journal of Approximate Reasoning 42 (1), 37-53, 2006
1082006
Sensitivity analysis: an aid for belief-network quantification
VMH Coupé, LC van der Gaag, JDF Habbema
Knowledge Engineering Review 15 (3), 215-232, 2000
98*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
972009
Building Bayesian networks through ontologies
EM Helsper, LC van der Gaag
ECAI 2002: European Conference on Artificial Intelligence, 2002
912002
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
752007
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
722010
Sensitivity analysis of probabilistic networks
LC van der Gaag, S Renooij, VMH Coupé
Advances in Probabilistic Graphical Models, 103-124, 2007
672007
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
63*2011
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
612020
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