Foto af Finn Verner Jensen

Finn Verner Jensen

Dr. techn., Cand. Scient

1987 …2016
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Publikationer 1987 2016

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2010

Information enhancement for approximate representation of optimal strategies from influence diagrams

Jensen, F. V. & Gatti, E., 2010, Proceedings of the Fifth European Workshop on Probabilstic Graphical Models (PGM-2010. Myllymäki, P., Roos, T. & Jaakola, T. (red.). Helsinki: HIIT Publications, 8 s.

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6 Citationer (Scopus)

The Cost of Troubleshooting Cost Clusters with Inside Information

Ottosen, T. J. & Jensen, F. V., 2010, Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010). Association for Uncertainty in Artificial Intelligence

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Costs
2008

A* Wars: The Fight for Improving A* Search for Troubleshooting with Dependent Actions

Ottosen, T. J. & Jensen, F. V., 2008, Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. Jaeger, M. & Nielsen, T. D. (red.). s. 233-240 8 s.

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5 Citationer (Scopus)
346 Downloads (Pure)

An anytime algorithm for evaluating unconstrained influence diagrams

Luque, M., Nielsen, T. D. & Jensen, F. V., 2008, Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. Jaeger, M. & Nielsen, T. D. (red.). s. 177-184 8 s.

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2 Citationer (Scopus)

An Influence Diagram framework for acting under influence by agents with unknown goals

Sønderberg-Madsen, N. & Jensen, F. V., 2008, Proceedings of the 4th European Workshop on Probabilistic Graphical Models. Jaeger, M. & Nielsen, T. D. (red.).

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Bayesian networks
Data storage equipment
3 Citationer (Scopus)

Approximate representation of optimal strategies from influence diagrams

Jensen, F. V., 2008, Proceedings of the 4th European Workshop on Probabilistic Graphical Models. Jaeger, M. & Nielsen, T. D. (red.). s. 153-159 7 s.

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Specifications

Better Safe than Sorry: Optimal Troubleshooting through A* Search with Efficiency-based Pruning

Ottosen, T. J. & Jensen, F. V., 2008, Tenth Scandinavian Conference on Artificial Intelligence - SCAI 2008. Holst, A., Kreuger, P. & Funk, P. (red.). IOS Press, s. 92-97 6 s. (Frontiers in Artificial Intelligence and Applications; Nr. 173).

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2006
3 Citationer (Scopus)

A Bayesian Network Framework for the Construction of Virtual Agents with Human-like Behaviour

Bangsø, O., Sønderberg-Madsen, N. & Jensen, F. V., 2006, Proceedings of the Third European Workshop on Probabilistic Graphical Models. Studený, M. & Vomlel, J. (red.). <Forlag uden navn>, s. 35-42 8 s.

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2005
5 Citationer (Scopus)
502 Downloads (Pure)

Alert Systems for production Plants: A Methodology Based on Conflict Analysis

Nielsen, T. D. & Jensen, F. V., 2005, Proceedings of the Eighth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. IEEE Computer Society Press, s. 76-87 (Lecture Notes in Computer Science; Nr. 3571).

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Fault detection
Power plants
Coal
Oils
2004

Engaging stakeholders in construction and validation of Bayesian belief networks for groundwater protection

Henriksen, H. J., Rasmussen, P., Brandt, G., von Bülow, D. & Jensen, F. V., 2004, IFAC.

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215 Downloads (Pure)

Multi-currency Influence Diagrams

Nielsen, S. H., Nielsen, T. D. & Jensen, F. V., 2004, Proceedings of the Second European Workshop on Probabilistic Graphical Models. Lucas, P. (red.). s. 153-160 8 s.

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Influence Diagrams
Currency
Decision problem
Optimal Strategy
Inaccurate
249 Downloads (Pure)

Parameter Reusing in Learning Latent Class Models

Karciauskas, G., Jensen, F. V. & Kocka, T., 2004, Proceedings of the 8th International Symposium on Artificial Intelligence and Mathematics.

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173 Downloads (Pure)

Sequential influence diagrams: a unified asymmetry framework

Jensen, F. V., Nielsen, T. D. & Shenoy, P., 2004, Proceedings of the second European Workshop on Probabilistic Graphical Models.

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2003

Plug & Play object oriented Bayesian networks

Bangsø, O., Flores, J. & Jensen, F. V., 2003, Proceedings of the Tenth Conference of the Spanish Association for Artificial Intelligence. Springer, s. 457-467 11 s.

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2002

An extension of lazy evaluation for influence diagrams avoiding redundant variables in the potentials

Vomlelova, M. & Jensen, F. V., 2002, Proceedings of the First European Workshop on Probabilistic Graphical Models, Cuenca, Spain. s. 186-193

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Real-time hypothesis driven feature extraction on parallel processing architectures

Granmo, O-C. & Jensen, F. V., 2002, Proceedings of The 2002 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'02).

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Feature extraction
Bayesian networks
Processing
Function evaluation

Unconstrained influence diagrams

Jensen, F. V. & Vomlelova, M., 2002, Uncertainty in artificial intelligence : proceedings of the Eighteenth Conference (2002), August 1-4, 2002, University of Alberta, Edmonton. Darwiche, A. & Friedman, N. (red.). Morgan Kaufmann, s. 234-241

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2001

Cutting Influence Diagrams Down to the Core

Nielsen, T. D. & Jensen, F. V., 2001, Seventh Scandinavian Conference on Artificial Intelligence : SCAI'01: Frontiers in Artificial Intelligence and Applications. Lund, H. H. : Mayoh, B. : Perram, J. (eds.) (red.). Vol. 66 udg. IOS Press, s. 159-160

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Graphical Models as Languages for Computer Assisted Diagnosis and Decision Making

Jensen, F. V., 2001, Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 6th European Conference, ECSQARU 2001 Toulouse, France, September 19 - 21, 2001 : Proceedings: Lecture Notes in Artificial Intelligence , subseries of Lecture Notes in Computer Science. Benferhat, S. : Besnard, P. (eds.) (red.). 2143 udg. IEEE Computer Society Press, s. 1-15

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Heuristics for Two Extensions of Basic Troubleshooting

Langseth, H. & Jensen, F. V., 2001, Seventh Scandinavian Conference on Artificial Intelligence : SCAI'01: Frontiers in Artificial Intelligence and Applications. Lund, H. H. : Mayoh, B. : Perram, J. (eds.) (red.). Vol. 66 udg. IOS Press, s. 80-89

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The SACSO System for Troubleshooting of Printing Systems

Jensen, F. V., Skaanning, C. & Kjærulff, U. B., 2001, Seventh Scandinavian Conference on Artificial Intelligence : SCAI'01: Frontiers in Artificial Intelligence and Applications. Lund, H. H. : Mayoh, B. : Perram, J. (eds.) (red.). Vol. 66 udg. IOS Press, s. 67-79

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2000
29 Citationer (Scopus)

Printer Troubleshooting using Bayesian Networks

Skaanning, C., Jensen, F. V. & Kjærulff, U. B., 2000, Intelligent Problem Solving : Methodologies and Approaches : 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000, New Orleans, Lousiana, USA, June 19-22, 2000 : Proceedings: Lecture Notes in Computer Science. Loganantharaj, R. : Palm, G. : Ali, M. (eds.) (red.). 1821 udg. IEEE Computer Society Press, s. 367-379

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Representing and Solving Asymmetric Bayesian Decision Problems

Nielsen, T. D. & Jensen, F. V., 2000, Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence. Boutilier, C. : Goldszmidt, M. (eds.) (red.). Morgan Kaufmann, s. 416-425

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Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example

Nielsen, T. D., Wuillemin, P-H., Jensen, F. V. & Kjærulff, U. B., 2000, Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence: UAI '00. Boutilier, C. : Goldszmidt, M. (eds.) (red.). Morgan Kaufmann, s. 426-435

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1999

Acquisition and Transformation of Likelihoods to Conditional Probabilities for Bayesian Networks

Skaanning, C., Jensen, F. V., Kjærulff, U. B. & Madsen, A. L., 1999, AAAI Spring Symposium, Standford, USA, 1999.

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11 Citationer (Scopus)

Gradient Descent Training of Bayesian Networks

Jensen, F. V., 1999, Symbolic and Quantitative Approaches to Reasoning and Uncertainty : European Conference : ECSQARU '99, London , UK, July 5-9, 1999 : Proceedings: Lecture Notes in Artificial Intelligence , subseries of Lecture Notes in Computer Science. Hunter,A. : Parsons, S. (eds.) (red.). 1638 udg. IEEE Computer Society Press, s. 190-200

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Inference in Multiply Sectioned Bayesian Networks with Extended Shafer-Shenoy and Lazy Propagation

Xiang, Y. & Jensen, F. V., 1999, Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence. Laskey, K. B. : Prade, H. (eds.) (red.). Morgan Kaufmann

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Lazy Evaluation of Symmetric Bayesian Decision Problems

Madsen, A. L. & Jensen, F. V., 1999, Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence. Laskey, K. B. : Prade, H. (eds.) (red.). Morgan Kaufmann

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Lightning Strike Sensors for Power Producing Wind Turbines

Sørensen, T., Johansen, P., Raben, N., Nielsen, H. O., Olsen, M. L., Brask, M. H., Jensen, F. V., Sørensen, J. T. & Olsen, K., 1999, CIRED'99 : 15th International Conference & Exhibition on Electricity Distribution, AIM, Liege, Belgium, June, 1999.

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

Xiang, Y., Olesen, K. G. & Jensen, F. V., 1999, Proceedings of the Twelfth International Florida AI Research Society Conference. Kumar, A. N. & Russell, I. (red.). AAAI Press

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Well-Defined Decision Scenarios

Nielsen, T. D. & Jensen, F. V., 1999, Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence. Laskey, K. B. : Prade, H. (eds.) (red.). Morgan Kaufmann, s. 502-511

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1998

Lazy Propagation in Junction Trees

Madsen, A. L. & Jensen, F. V., 1998, Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence. Cooper, Gregory F. : Moral, Serafin (eds.) (red.). Kaufmann, s. 362-369

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Printing System Diagnosis: a Bayesian Network Application

Skaanning, C., Jensen, F. V., Kjærulff, U., Pelletier, P. & Rostrup-Jensen, L., 1998, The 9th International Conference on Principles of Diagnosis (Dx98), Cape Cod, Massachusetts, USA, 1998. s. 259-265

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ProbSy - A System for the Calculation of Probabilities in the Card Game Bridge

Madsen, A. L., Nielsen, L. M. & Jensen, F. V., 1998, Proceedings of the 11th International Florida Artificial Intelligence Research Symposium Conference. Cook, Diane J. (ed.) (red.). AAAI Press, s. 435-439

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1997

Bayesian Networks and Influence Diagrams

Jensen, F. V., 1997, Proceedings of The 1st European Conference for Information Technology in Agriculture, June 15-18, 1997, The Royal Veterinary and Agricultural University, Copenhagen, Denmark. <Forlag uden navn>, s. 429-440

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Myopic Value of Information for Influence Diagrams

Dittmer, S. L. & Jensen, F. V., 1997, 13th Conference on Uncertainty in Artificial Intelligence. Kaufmann, s. 142-149

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Tools for Explanation in Bayesian Networks with Application to an Agricultural Problem

Dittmer, S. L. & Jensen, F. V., 1997, Proceedings of The 1st European Conference for Information Technology in Agriculture, June 15-18, 1997, The Royal Veterinary and Agricultural University, Copenhagen, Denmark. <Forlag uden navn>, s. 441-446

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1996

A framework for generic object recognition with Bayesian networks

Jianming, L., Jensen, F. V. & Christensen, H. I., 1996, Proceedings of the First International Symposium of Soft Computing for Pattern Recognition, Reading, 1996, United Kingdom.

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MIDAS - An Influence Diagram for Management of Mildew in Winther Wheat

Jensen, A. L. & Jensen, F. V., 1996, Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence. Horvitz, E. : Jensen, F. V. (eds.) (red.). Academic Press, s. 349-356

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1995
45 Citationer (Scopus)

Cautious Propagation in Bayesian Networks

Jensen, F. V., 1995, Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence. Besnard, P. : Hanks, S. (eds.) (red.). Morgan Kaufmann, s. 323-328

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1994

Qualitative recognition using bayes reasoning

Liang, J., Christensen, H. I. & Jensen, F. V., 1994, Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems: Proceedings of an International Workshop, 1-3 June, 1994, Vlieland, Netherlands. Elsevier, (Machine Intelligence and Pattern Recognition, Bind 16).

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1992
28 Citationer (Scopus)

Bayesian methods for interpretation and control in multi-agent vision systems

Jensen, F. V., Christensen, H. I. & Nielsen, J., 1992, Proceedings of SPIE Conference Applications of Artificial Intelligence X : Machine Vision and Robotics, 22-24 April 1992, Orlando, FL, USA. Bowyer, K. (red.). SPIE - International Society for Optical Engineering, s. 536-548 (SPIE proceedings; Nr. 1708).

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HUGIN: a system creating adaptive causal probabilistic networks

Olesen, K. G., Lauritzen, S. L. & Jensen, F. V., 1992, Proceedings of the 8th Conference on Uncertainty in Artificial Intelligence, 17-19 July 1992, Stanford, CA, USA. Kaufmann, s. 223-229

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1990

Computer aided decision making in mastitis control: development of a causal probabilistic network

Agger, J. F., Olesen, K. G., Jensen, F. V. & Andersen, S. K., 1990, Proceedings of the 2nd GIL Symposium, 1990, Bonn, Germany.

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1989

HUGIN - a Shell for Building Belief Universes for Expert Systems

Andersen, S. K., Olesen, K. G., Jensen, F. V. & Jensen, F., 1989, Proceedings of the 11th International Joint Conference on Artificial Intelligence. Morgan Kaufmann, s. 1080-1085 6 s.

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1987

MUNIN: on the case for probabilities in medical expert systems : a practical exercise

Jensen, F. V., Andersen, S. K., Kjærulff, U. & Andreassen, S., 1987, Proceedings of the European Conference on Artificial Intelligence in Medicine, AIME 87, 31 August-3 September 1987, Marseilles, France. Fox, J., Fieschi, M. & Engelbrecht, R. (red.). Springer, s. 149-160 (Lecture Notes in Medical Informatics; Nr. 33).

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The HUGIN core: preliminary considerations on systems for fast manipulation of probabilities

Andersen, S. K., Jensen, F. V. & Olesen, K. G., 1987, Proceedings of the Workshop on Induction Reasoning : Managing Empirical Information in AI-Systems, Risø National Laboratory, 1987, Roskilde, Denmark.

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