Compiler Generation from Relational Semantics. - Mads Dam; Frank Jensen (ESOP, 1986)

Conjunctional type assignment in programming languages. - R. Ghosh-Roy; Frank Jensen (ACM Conference on Computer Science, 1988)

HUGIN - A Shell for Building Bayesian Belief Universes for Expert Systems. - Stig K. Andersen; Kristian G. Olesen; Finn Verner Jensen; Frank Jensen (IJCAI, 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)

Analysis in HUGIN of data conflict. - Finn Verner Jensen; Bo Chamberlain; Torsten Nordahl; Frank Jensen (UAI, 1990)

Optimal junction Trees. - Finn Verner Jensen; Frank Jensen (UAI, 1994)

From Influence Diagrams to junction Trees. - Frank Jensen; Finn Verner Jensen; Søren L. Dittmer (UAI, 1994)

Transition Structure Modeling by Intersecting Potetntial Energy Surfaces. - Frank Jensen (J. Comput. Chem., 1994)

Stable local computation with conditional Gaussian distributions. - Steffen L. Lauritzen; Frank Jensen (Stat. Comput., 2001)

Hugin - The Tool for Bayesian Networks and Influence Diagrams. - Frank Jensen; Uffe Kjærulff; Michael Lang 002; Anders L. Madsen (Probabilistic Graphical Models, 2002)

Mixed Influence Diagrams. - Anders L. Madsen; Frank Jensen (ECSQARU, 2003)

The Hugin Tool for Learning Bayesian Networks. - Anders L. Madsen; Michael Lang 002; Uffe Kjærulff; Frank Jensen (ECSQARU, 2003)

The Hugin Tool for Probabilistic Graphical Models. - Anders L. Madsen; Frank Jensen; Uffe Kjærulff; Michael Lang 002 (Int. J. Artif. Intell. Tools, 2005)

Solving linear-quadratic conditional Gaussian influence diagrams. - Anders L. Madsen; Frank Jensen (Int. J. Approx. Reason., 2005)

A Software Package for Web Deployment of Probabilistic Graphical Models. - Anders L. Madsen; Martin Karlsen; Gary C. Barker; Ana Belén García; Jeffrey Hoorfar; Frank Jensen; Håkan Vigre (SCAI, 2013)

Approximations in Bayesian Belief Universe for Knowledge Based Systems - Frank Jensen; S. K. Anderson (CoRR, 2013)

Bayesian Networks with Function Nodes. - Anders L. Madsen; Frank Jensen; Martin Karlsen; Nicolaj Søndberg-Jeppesen (Probabilistic Graphical Models, 2014)

A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs. - Anders L. Madsen; Frank Jensen; Antonio Salmerón; Martin Karlsen; Helge Langseth; Thomas D. Nielsen (Probabilistic Graphical Models, 2014)

Parallelisation of the PC Algorithm. - Anders L. Madsen; Frank Jensen; Antonio Salmerón; Helge Langseth; Thomas D. Nielsen (CAEPIA, 2015)

Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. - Antonio Salmerón; Anders L. Madsen; Frank Jensen; Helge Langseth; Thomas D. Nielsen; Darío Ramos-López; Ana M. Martínez; Andrés R. Masegosa (ECAI, 2016)

Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. - Anders L. Madsen; Nicolaj Søndberg-Jeppesen; Frank Jensen; Mohamed S. Sayed; Ulrich Moser; Luís Neto; João Reis 001; Niels Lohse (ECSQARU, 2017)

A parallel algorithm for Bayesian network structure learning from large data sets. - Anders L. Madsen; Frank Jensen; Antonio Salmerón; Helge Langseth; Thomas D. Nielsen (Knowl. Based Syst., 2017)

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 (PGM, 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 (PGM, 2020)

Online Updating of Conditional Linear Gaussian Bayesian Networks. - Anders L. Madsen; Kristian G. Olesen; Frank Jensen; Per Henriksen; Thomas Mulvad Larsen; Jørn Munkhof Møller (PGM, 2022)