| 2007 |
|---|
| 49 | EE | Hans Jørgen Henriksen,
Per Rasmussen,
Gyrite Brandt,
Dorthe von Bülow,
Finn Verner Jensen:
Public participation modelling using Bayesian networks in management of groundwater contamination.
Environmental Modelling and Software 22(8): 1101-1113 (2007) |
| 48 | EE | Thomas D. Nielsen,
Finn Verner Jensen:
On-line alert systems for production plants: A conflict based approach.
Int. J. Approx. Reasoning 45(2): 255-270 (2007) |
| 2006 |
|---|
| 47 | EE | Olav Bangsø,
N. Sondberg-Madsen,
Finn Verner Jensen:
A Bayesian Network Framework for the Construction of Virtual Agents with Human-like Behaviour.
Probabilistic Graphical Models 2006: 35-42 |
| 46 | EE | Finn Verner Jensen,
Thomas D. Nielsen,
Prakash P. Shenoy:
Sequential influence diagrams: A unified asymmetry framework.
Int. J. Approx. Reasoning 42(1-2): 101-118 (2006) |
| 2005 |
|---|
| 45 | EE | Thomas D. Nielsen,
Finn Verner Jensen:
Alert Systems for Production Plants: A Methodology Based on Conflict Analysis.
ECSQARU 2005: 76-87 |
| 44 | EE | John Bromley,
Nick A. Jackson,
O. J. Clymer,
Anna Maria Giacomello,
Finn Verner Jensen:
The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning.
Environmental Modelling and Software 20(2): 231-242 (2005) |
| 2004 |
|---|
| 43 | EE | Gytis Karciauskas,
Finn Verner Jensen,
Tomás Kocka:
Parameter Reusing in Learning Latent Class Models.
AMAI 2004 |
| 42 | EE | Thomas D. Nielsen,
Finn Verner Jensen:
Learning a decision maker's utility function from (possibly) inconsistent behavior.
Artif. Intell. 160(1-2): 53-78 (2004) |
| 41 | EE | Nevin Lianwen Zhang,
Thomas D. Nielsen,
Finn Verner Jensen:
Latent variable discovery in classification models.
Artificial Intelligence in Medicine 30(3): 283-299 (2004) |
| 40 | EE | Marta Vomlelová,
Finn Verner Jensen:
An Extension Of Lazy Evaluation For Influence Diagrams Avoiding Redundant Variables In The Potentials.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(Supplement-1): 1-18 (2004) |
| 39 | EE | Finn Verner Jensen:
Bayesian Artificial Intelligence.
Pattern Anal. Appl. 7(2): 221-223 (2004) |
| 2003 |
|---|
| 38 | EE | Olav Bangsø,
M. Julia Flores,
Finn Verner Jensen:
Plug & Play Object Oriented Bayesian Networks.
CAEPIA 2003: 457-467 |
| 37 | | Thomas D. Nielsen,
Finn Verner Jensen:
Sensitivity analysis in influence diagrams.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(2): 223-234 (2003) |
| 36 | EE | Thomas D. Nielsen,
Finn Verner Jensen:
Representing and Solving Asymmetric Decision Problems.
International Journal of Information Technology and Decision Making 2(2): 217-263 (2003) |
| 2002 |
|---|
| 35 | | Ole-Christoffer Granmo,
Finn Verner Jensen:
Real-time Hypothesis Driven Feature Extraction on Parallel Processing Architectures.
PDPTA 2002: 727-733 |
| 34 | EE | Marta Vomlelová,
Finn Verner Jensen:
An Extension of Lazy Evaluation for Influence Diagrams Avoiding Redundant Variables in the Potentials.
Probabilistic Graphical Models 2002 |
| 33 | | Finn Verner Jensen,
Marta Vomlelová:
Unconstrained Influence Diagrams.
UAI 2002: 234-241 |
| 2001 |
|---|
| 32 | EE | Finn Verner Jensen:
Graphical Models as Languages for Computer Assisted Diagnosis and Decision Making.
ECSQARU 2001: 1-15 |
| 31 | | Thomas D. Nielsen,
Finn Verner Jensen:
Cutting Influence Diagrams Down to the Core.
SCAI 2001: 159-160 |
| 30 | | Finn Verner Jensen,
Claus Skaanning,
Uffe Kjærulff:
The SACSO System for Troubleshooting of Printing Systems.
SCAI 2001: 67-79 |
| 29 | | Helge Langseth,
Finn Verner Jensen:
Heuristics for Two Extensions of Basic Troubleshooting.
SCAI 2001: 80-89 |
| 28 | | Finn Verner Jensen,
Uffe Kjærulff,
Brian Kristiansen,
Helge Langseth,
Claus Skaanning,
Jirí Vomlel,
Marta Vomlelová:
The SACSO methodology for troubleshooting complex systems.
AI EDAM 15(4): 321-333 (2001) |
| 2000 |
|---|
| 27 | EE | Claus Skaanning,
Finn Verner Jensen,
Uffe Kjærulff:
Printer Troubleshooting Using Bayesian Networks.
IEA/AIE 2000: 367-379 |
| 26 | EE | Thomas D. Nielsen,
Finn Verner Jensen:
Representing and Solving Asymmetric Bayesian Decision Problems.
UAI 2000: 416-425 |
| 25 | EE | Thomas D. Nielsen,
Pierre-Henri Wuillemin,
Finn Verner Jensen,
Uffe Kjærulff:
Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example.
UAI 2000: 426-435 |
| 24 | | 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 |
|---|
| 23 | EE | Finn Verner Jensen:
Gradient Descent Training of Bayesian Networks.
ESCQARU 1999: 190-200 |
| 22 | | 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 |
| 21 | EE | Anders L. Madsen,
Finn Verner Jensen:
Lazy Evaluation of Symmetric Bayesian Decision Problems.
UAI 1999: 382-390 |
| 20 | EE | Thomas D. Nielsen,
Finn Verner Jensen:
Welldefined Decision Scenarios.
UAI 1999: 502-511 |
| 19 | EE | Yanping Xiang,
Finn Verner Jensen:
Inference in Multiply Sectioned Bayesian Networks with Extended Shafer-Shenoy and Lazy Propagation.
UAI 1999: 680-687 |
| 18 | EE | Anders L. Madsen,
Finn Verner Jensen:
LAZY Propagation: A Junction Tree Inference Algorithm Based on Lazy Evaluation.
Artif. Intell. 113(1-2): 203-245 (1999) |
| 1998 |
|---|
| 17 | | Anders L. Madsen,
Lars M. Nielsen,
Finn Verner Jensen:
ProbSy--A System for the Calculation of Probabilities in the Card Game Bridge.
FLAIRS Conference 1998: 435-439 |
| 16 | EE | Anders L. Madsen,
Finn Verner Jensen:
Lazy Propagation in Junction Trees.
UAI 1998: 362-369 |
| 1997 |
|---|
| 15 | EE | Søren L. Dittmer,
Finn Verner Jensen:
Myopic Value of Information in Influence Diagrams.
UAI 1997: 142-149 |
| 14 | | Steffen L. Lauritzen,
Finn Verner Jensen:
Local Computation with Valuations from a Commutative Semigroup.
Ann. Math. Artif. Intell. 21(1): 51-69 (1997) |
| 1996 |
|---|
| 13 | | Eric Horvitz,
Finn Verner Jensen:
UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, August 1-4, 1996, Reed College, Portland, Oregon, USA
Morgan Kaufmann 1996 |
| 12 | EE | Allan Leck Jensen,
Finn Verner Jensen:
MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat.
UAI 1996: 349-356 |
| 1995 |
|---|
| 11 | | Finn Verner Jensen,
Søren H. Aldenryd,
Klaus B. Jensen:
Sensitivity Analysis in Bayesian Networks.
ECSQARU 1995: 243-250 |
| 10 | EE | Finn Verner Jensen:
Cautious Propagation in Bayesian Networks.
UAI 1995: 323-328 |
| 1994 |
|---|
| 9 | EE | Finn Verner Jensen,
Frank Jensen:
Optimal junction Trees.
UAI 1994: 360-366 |
| 8 | EE | Frank Jensen,
Finn Verner Jensen,
Søren L. Dittmer:
From Influence Diagrams to junction Trees.
UAI 1994: 367-373 |
| 1992 |
|---|
| 7 | EE | Kristian G. Olesen,
Steffen L. Lauritzen,
Finn Verner Jensen:
aHUGIN: A System Creating Adaptive Causal Probabilistic Networks.
UAI 1992: 223-229 |
| 1991 |
|---|
| 6 | | Finn Verner Jensen:
Calculation in HUGIN of Probabilities for Specific Configurations: A Trick with Many Applications.
SCAI 1991: 176-186 |
| 1990 |
|---|
| 5 | EE | Finn Verner Jensen,
Bo Chamberlain,
Torsten Nordahl,
Frank Jensen:
Analysis in HUGIN of data conflict.
UAI 1990: 519-528 |
| 1989 |
|---|
| 4 | | 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 |
| 3 | | 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) |
| 1987 |
|---|
| 2 | | Finn Verner Jensen,
Kim Guldstrand Larsen:
Recursively Defined Doains and their Induction Principles.
Theor. Comput. Sci. 54: 29-51 (1987) |
| 1985 |
|---|
| 1 | | Finn Verner Jensen,
Kim Guldstrand Larsen:
Recursively Defined Domains and Their Induction Principles.
FSTTCS 1985: 225-245 |
