2006 |
19 | EE | Kristian G. Olesen,
Ole K. Hejlesen,
R. Dessau,
I. Beltoft,
M. Trangeled:
Diagnosing Lyme disease - Tailoring patient specific Bayesian networks for temporal reasoning.
Probabilistic Graphical Models 2006: 231-238 |
2003 |
18 | | M. Julia Flores,
José A. Gámez,
Kristian G. Olesen:
Incremental compilation of Bayesian networks.
UAI 2003: 233-240 |
17 | EE | Kristian G. Olesen,
Steen Andreassen,
Marko Suojanen:
Modularizing inference in large causal probabilistic networks.
Int. J. Intell. Syst. 18(2): 179-191 (2003) |
2002 |
16 | | Kristian G. Olesen,
Anders L. Madsen:
Maximal prime subgraph decomposition of Bayesian networks.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(1): 21-31 (2002) |
15 | | Anders L. Madsen,
Kristian G. Olesen,
Søren L. Dittmer:
Practical modeling of Bayesian decision problems - exploiting deterministic relations.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(1): 32-38 (2002) |
2001 |
14 | EE | Steen Andreassen,
Marko Suojanen,
Björn Falck,
Kristian G. Olesen:
Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases.
AIME 2001: 167-176 |
13 | | Anders L. Madsen,
Kristian G. Olesen,
Søren L. Dittmer:
Practical Modeling of Bayesian Decision Problems -- Exploiting Deterministic Relations.
FLAIRS Conference 2001: 585-590 |
12 | | Kristian G. Olesen,
Anders L. Madsen:
Maximal Prime Subgraph Decomposition of Bayesian Networks.
FLAIRS Conference 2001: 596-601 |
2000 |
11 | | Yanping Xiang,
Kristian G. Olesen,
Finn Verner Jensen:
Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks.
IJPRAI 14(1): 59-72 (2000) |
1999 |
10 | EE | Steen Andreassen,
Leonard Leibovici,
Henrik C. Schønheyder,
Brian Kristensen,
Christian Riekehr,
Anders Geill Kjær,
Kristian G. Olesen:
A Decision Theoretic Approach to Empirical Treatment of Bacteraemia Originating from the Urinary Tract.
AIMDM 1999: 197-206 |
9 | | Yanping Xiang,
Kristian G. Olesen,
Finn Verner Jensen:
Some Practical Issues in Modeling Diagnostic Systems with Multiply Sectioned Bayesian Networks.
FLAIRS Conference 1999: 438-443 |
1998 |
8 | EE | Tom Brøndsted,
Paul Dalsgaard,
Lars Bo Larsen,
Michael Manthey,
Paul McKevitt,
Thomas B. Moeslund,
Kristian G. Olesen:
The IntelliMedia WorkBench - An Environment for Building Multimodal Systems.
Cooperative Multimodal Communication 1998: 217-233 |
1997 |
7 | | Marko Suojanen,
Kristian G. Olesen,
Steen Andreassen:
A Method for Diagnosing in Large Medical Expert Systems Based on Causal Probabilistic Networks.
AIME 1997: 285-295 |
1993 |
6 | | Kristian G. Olesen,
Steen Andreassen:
Specification of models in large expert systems based on causal probabilistic networks.
Artificial Intelligence in Medicine 5(3): 269-281 (1993) |
5 | EE | Kristian G. Olesen:
Causal Probabilistic Networks with Both Discrete and Continuous Variables.
IEEE Trans. Pattern Anal. Mach. Intell. 15(3): 275-279 (1993) |
1992 |
4 | EE | Kristian G. Olesen,
Steffen L. Lauritzen,
Finn Verner Jensen:
aHUGIN: A System Creating Adaptive Causal Probabilistic Networks.
UAI 1992: 223-229 |
3 | | Roman Hovorka,
Steen Andreassen,
Jonathan J. Benn,
Kristian G. Olesen,
Ewart R. Carson:
Causal Probabilistic Network Modeling - An Illustration of its Role in the Management of Chronic Diseases.
IBM Systems Journal 31(4): 635-648 (1992) |
1989 |
2 | | Stig K. Andersen,
Kristian G. Olesen,
Finn Verner Jensen,
Frank Jensen:
HUGIN - A Shell for Building Bayesian Belief Universes for Expert Systems.
IJCAI 1989: 1080-1085 |
1 | | Kristian G. Olesen,
Uffe Kjærulff,
Frank Jensen,
Finn Verner Jensen,
Björn Falck,
Steen Andreassen,
Stig K. Andersen:
A munin network for the median nerve - a case study on loops.
Applied Artificial Intelligence 3(2-3): 385-403 (1989) |