Kristian G. Olesen

According to our database, Kristian G. Olesen authored at least 26 papers between 1989 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Online Updating of Conditional Linear Gaussian Bayesian Networks.

Anders L. Madsen, Kristian G. Olesen, Frank Jensen, Per Henriksen, Thomas Mulvad Larsen, Jørn Munkhof Møller

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2020

A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital.

Anders L. Madsen, Kristian G. Olesen, Jørn Munkhof Møller, Nicolaj Søndberg-Jeppesen, Frank Jensen, Thomas Mulvad Larsen, Per Henriksen, Morten Lindblad, Trine Søby Christensen

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Prediction of High Risk of Deviations in Home Care Deliveries.

Anders L. Madsen, Kristian G. Olesen, Heidi Lynge Løvschall, Nicolaj Søndberg-Jeppesen, Frank Jensen, Morten Lindblad, Mads Lause Mogensen, Trine Søby Christensen

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2011

Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs.

M. Julia Flores, José A. Gámez, Kristian G. Olesen

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011

2006

Diagnosing Lyme disease - Tailoring patient specific Bayesian networks for temporal reasoning.

Kristian G. Olesen, Ole K. Hejlesen, Ram Dessau, Ivan Beltoft, Michael Trangeled

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005

Decision Support for Diagnosis of Lyme Disease.

Ole K. Hejlesen, Kristian G. Olesen, Ram Dessau, Ivan Beltoft, Michael Trangeled

Proceedings of the Connecting Medical Informatics and Bio-Informatics - Proceedings of MIE 2005, 2005

2003

Modularizing inference in large causal probabilistic networks.

Kristian G. Olesen, Steen Andreassen, Marko Suojanen

Int. J. Intell. Syst., 2003

Incremental compilation of Bayesian networks.

M. Julia Flores, José A. Gámez, Kristian G. Olesen

Proceedings of the UAI '03, 2003

2002

Maximal prime subgraph decomposition of Bayesian networks.

Kristian G. Olesen, Anders L. Madsen

IEEE Trans. Syst. Man Cybern. Part B, 2002

Practical modeling of Bayesian decision problems - exploiting deterministic relations.

Anders L. Madsen, Kristian G. Olesen, Søren L. Dittmer

IEEE Trans. Syst. Man Cybern. Part B, 2002

2001

A method for diagnosing multiple diseases in MUNIN.

Marko Suojanen, Steen Andreassen, Kristian G. Olesen

IEEE Trans. Biomed. Eng., 2001

Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases.

Steen Andreassen, Marko Suojanen, Björn Falck, Kristian G. Olesen

Proceedings of the Artificial Intelligence Medicine, 2001

2000

Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks.

Yanping Xiang, Kristian G. Olesen, Finn Verner Jensen

Int. J. Pattern Recognit. Artif. Intell., 2000

1999

Some Practical Issues in Modeling Diagnostic Systems with Multiply Sectioned Bayesian Networks.

Yanping Xiang, Kristian G. Olesen, Finn Verner Jensen

Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract.

Steen Andreassen, Leonard Leibovici, Henrik C. Schønheyder, Brian Kristensen, Christian Riekehr, Anders Geill Kjær, Kristian G. Olesen

Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1998

The intellimedia workbench - a generic environment for multimodal systems.

Tom Brøndsted, Lars Bo Larsen, Michael Manthey, Paul McKevitt, Thomas B. Moeslund, Kristian G. Olesen

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

The IntelliMedia WorkBench - An Environment for Building Multimodal Systems.

Tom Brøndsted, Paul Dalsgaard, Lars Bo Larsen, Michael Manthey, Paul McKevitt, Thomas B. Moeslund, Kristian G. Olesen

Proceedings of the Cooperative Multimodal Communication, Second International Conference, 1998

1997

A Method for Diagnosing in Large Medical Expert Systems Based on Causal Probabilistic Networks.

Marko Suojanen, Kristian G. Olesen, Steen Andreassen

Proceedings of the Artificial Intelligence Medicine, 1997

1993

Causal Probabilistic Networks with Both Discrete and Continuous Variables.

Kristian G. Olesen

IEEE Trans. Pattern Anal. Mach. Intell., 1993

Specification of models in large expert systems based on causal probabilistic networks.

Kristian G. Olesen, Steen Andreassen

Artif. Intell. Medicine, 1993

1992

Causal Probabilistic Network Modeling - An Illustration of its Role in the Management of Chronic Diseases.

Roman Hovorka, Steen Andreassen, Jonathan J. Benn, Kristian G. Olesen, Ewart R. Carson

IBM Syst. J., 1992

aHUGIN: A System Creating Adaptive Causal Probabilistic Networks.

Kristian G. Olesen, Steffen L. Lauritzen, Finn Verner Jensen

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

1991

A Model-Based Approach to Insulin Adjustment.

Steen Andreassen, Roman Hovorka, Jonathan J. Benn, Kristian G. Olesen, Ewart R. Carson

Proceedings of the AIME 91, 1991

1990

An algebra of bayesian belief universes for knowledge-based systems.

Finn Verner Jensen, Kristian G. Olesen, Stig K. Andersen

Networks, 1990

1989

A munin network for the median nerve - a case study on loops.

Kristian G. Olesen, Uffe Kjærulff, Frank Jensen, Finn Verner Jensen, Björn Falck, Steen Andreassen, Stig K. Andersen

Appl. Artif. Intell., 1989

HUGIN - A Shell for Building Bayesian Belief Universes for Expert Systems.

Stig K. Andersen, Kristian G. Olesen, Finn Verner Jensen, Frank Jensen

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989