World's Best Scientists 2026 revealed!
Finn Verner Jensen

Finn Verner Jensen

D-Index & Metrics

Computer Science

D-Index
37
Citations
14532
World Ranking
10449
National Ranking
46

Overview

Finn Verner Jensen is affiliated with Aalborg University in Denmark.

There are no records of recent papers, frequent co-authors, publication venues, book publications, main fields or subfields of study, main topics of work, or awards won available for this researcher.

Best Publications

  • Bayesian Networks and Decision Graphs

    Unknown

  • An introduction to Bayesian networks

    Finn V. Jensen

  • Bayesian updating in causal probabilistic networks by local computations

    Finn V. Jensen;Steffen L. Lauritzen;Kristian G. Olesen

  • HUGIN: a shell for building Bayesian belief universes for expert systems

    Stig K. Andersen;Kristian G. Olesen;Finn V. Jensen;Frank Jensen

  • An algebra of bayesian belief universes for knowledge‐based systems

    Finn Verner Jensen;Kristian G. Olesen;Stig Kjaer Andersen

  • The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning

    John Bromley;Nick A. Jackson;O. J. Clymer;Anna Maria Giacomello

  • LAZY propagation: a junction tree inference algorithm based on lazy evaluation

    Anders L. Madsen;Finn V. Jensen

  • From influence diagrams to junction trees

    Frank Jensen;Finn V. Jensen;Søren L. Dittmer

  • Optimal junction trees

    Finn V. Jensen;Frank Jensen

  • Public participation modelling using Bayesian networks in management of groundwater contamination

    Hans Jørgen Henriksen;Per Rasmussen;Gyrite Brandt;Dorthe von Bülow

  • Wiley Interdisciplinary Reviews

    Unknown

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

    K. G. Olesen;U. Kjaerulff;F. Jensen;F. V. Jensen

  • MUNIN: an expert EMG assistant

    Stig Kjær Andersen;Steen Andreassen;B. Falck;Finn V. Jensen

  • Computer-Aided Electromyography and Expert Systems

    Steen Andreassen;Finn Verner Jensen;Stig Kjær Andersen;B. Falck

  • Medical expert systems based on causal probabilistic networks

    Steen Andreassen;Finn V. Jensen;Kristian G. Olesen

  • The SACSO methodology for troubleshooting complex systems

    Finn V. Jensen;Uffe Kjærulff;Brian Kristiansen;Helge Langseth

  • aHUGIN: a system creating adaptive causal probabilistic networks

    Kristian G. Olesen;Steffen L. Lauritzen;Finn V. Jensen

  • Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (1996)

    Eric Horvitz;Finn Verner Jensen

  • Local computation with valuations from a commutative semigroup

    S. L. Lauritzen;F. V. Jensen

  • Welldefined decision scenarios

    Thomas D. Nielsen;Finn V. Jensen

  • Printer troubleshooting using Bayesian networks

    Claus Skaanning;Finn V. Jensen;Uffe Kjærulff

  • Lazy propagation in junction trees

    Anders L. Madsen;Finn V. Jensen

  • Bayesian Networks and Influence Diagrams

    Finn V. Jensen

Frequent Co-Authors

Henrik I. Christensen
Henrik I. Christensen University of California, San Diego
Eric Horvitz
Eric Horvitz Microsoft (United States)
Prakash P. Shenoy
Prakash P. Shenoy University of Kansas
Kim Guldstrand Larsen
Kim Guldstrand Larsen Aalborg University
Jianming Liang
Jianming Liang Arizona State University
Poul Ejnar Sørensen
Poul Ejnar Sørensen Technical University of Denmark
Erik Stålberg
Erik Stålberg Uppsala University

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