Lazy Propagation and Independence of Causal Influence. - Anders L. Madsen (ECAI, 1998)

ProbSy–A System for the Calculation of Probabilities in the Card Game Bridge. - Anders L. Madsen; Lars M. Nielsen; Finn Verner Jensen (FLAIRS, 1998)

Lazy Propagation in Junction Trees. - Anders L. Madsen; Finn Verner Jensen (UAI, 1998)

Lazy Propagation and Independence of Causal Influence. - Anders L. Madsen; Bruce D'Ambrosio (ESCQARU, 1999)

Lazy Evaluation of Symmetric Bayesian Decision Problems. - Anders L. Madsen; Finn Verner Jensen (UAI, 1999)

LAZY Propagation: A Junction Tree Inference Algorithm Based on Lazy Evaluation. - Anders L. Madsen; Finn Verner Jensen (Artif. Intell., 1999)

A Factorized Representation of Independence of Causal Influence and Lazy Propagation. - Anders L. Madsen; Bruce D'Ambrosio (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000)

Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation. - Anders L. Madsen; Dennis Nilsson (UAI, 2001)

Condition Monitoring, Root Cause Analysis and Decision Support on Urgency of Actions. - Galia Weidl; Anders L. Madsen; Erik Dahlquist (HIS, 2002)

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

Practical modeling of Bayesian decision problems - exploiting deterministic relations. - Anders L. Madsen; Kristian G. Olesen; Søren L. Dittmer (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Maximal prime subgraph decomposition of Bayesian networks. - Kristian G. Olesen; Anders L. Madsen (IEEE Trans. Syst. Man Cybern. Part B, 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)

ADVOCATE II: ADVanced On-Board Diagnosis and Control of Autonomous Systems II. - Miguel Ángel Sotelo; Luis Miguel Bergasa; Ramón Flores; Manuel Ocaña; Marie-Hélène Doussin; Luis Magdalena; Joerg Kalwa; Anders L. Madsen; Michel Perrier; Damien Roland Pietro Corigliano (EUROCAST, 2003)

Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes. - Galia Weidl; Anders L. Madsen; Stefan Israelson (Comput. Chem. Eng., 2005)

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)

Variations over the message computation algorithm of lazy propagation. - Anders L. Madsen (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime. - Luigi Ferrara; Christian Mårtenson; Pontus Svenson; Per Svensson 001; Justo Hidalgo; Anastasio Molano; Anders L. Madsen (ISI Workshops, 2008)

Belief update in CLG Bayesian networks with lazy propagation. - Anders L. Madsen (Int. J. Approx. Reason., 2008)

Improvements to message computation in lazy propagation. - Anders L. Madsen (Int. J. Approx. Reason., 2010)

Using Four Cost Measures to Determine Arc Reversal Orderings. - Cory J. Butz; Anders L. Madsen; Kevin Williams (ECSQARU, 2011)

A Differential Semantics of Lazy AR Propagation - Anders L. Madsen (CoRR, 2012)

An Empirical Evaluation of Possible Variations of Lazy Propagation - Anders L. Madsen (CoRR, 2012)

d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. - Cory J. Butz; Wen Yan; Anders L. Madsen (Canadian AI, 2013)

Approximate Lazy Evaluation of Influence Diagrams. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Anders L. Madsen (CAEPIA, 2013)

On Semantics of Inference in Bayesian Networks. - Cory J. Butz; Wen Yan; Anders L. Madsen (ECSQARU, 2013)

On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. - Anders L. Madsen; Cory J. Butz (ECSQARU, 2013)

Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Anders L. Madsen (SCAI, 2013)

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)

Ordering arc-reversal operations when eliminating variables in lazy AR propagation. - Anders L. Madsen; Cory J. Butz (Int. J. Approx. Reason., 2013)

Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements. - Galia Weidl; Anders L. Madsen; Dietmar Kasper; Gabi Breuel (ISIC, 2014)

On SPI for Evaluating Influence Diagrams. - Rafael Cabañas 001; Anders L. Madsen; Andrés Cano; Manuel Gómez-Olmedo (IPMU (1), 2014)

Requirement Engineering for a Small Project with Pre-Specified Scope. - Thomas D. Nielsen; Sigve Hovda; Antonio Fernández 002; Helge Langseth; Anders L. Madsen; Andrés R. Masegosa; Antonio Salmerón (NIK, 2014)

On SPI-Lazy Evaluation of Influence Diagrams. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Anders L. Madsen (Probabilistic Graphical Models, 2014)

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)

Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. - Anders L. Madsen; Cory J. Butz (Canadian AI, 2015)

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

Parallel Importance Sampling in Conditional Linear Gaussian Networks. - Antonio Salmerón; Darío Ramos-López; Hanen Borchani; Ana M. Martínez; Andrés R. Masegosa; Antonio Fernández 002; Helge Langseth; Anders L. Madsen; Thomas D. Nielsen (CAEPIA, 2015)

MPE Inference in Conditional Linear Gaussian Networks. - Antonio Salmerón; Rafael Rumí; Helge Langseth; Anders L. Madsen; Thomas D. Nielsen (ECSQARU, 2015)

Early Recognition of Maneuvers in Highway Traffic. - Galia Weidl; Anders L. Madsen; Viacheslav Tereshchenko; Dietmar Kasper; Gabi Breuel (ECSQARU, 2015)

Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. - Hanen Borchani; Ana M. Martínez; Andrés R. Masegosa; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón; Antonio Fernández 002; Anders L. Madsen; Ramón Sáez (IDA, 2015)

A methodology for developing local smart diagnostic models using expert knowledge. - Anders L. Madsen; Nicolaj Søndberg-Jeppesen; Niels Lohse; Mohamed S. Sayed (INDIN, 2015)

SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices. - Mohamed S. Sayed; Niels Lohse; Nicolaj Søndberg-Jeppesen; Anders L. Madsen (INDIN, 2015)

Dynamic Bayesian modeling for risk prediction in credit operations. - Hanen Borchani; Ana M. Martínez; Andrés R. Masegosa; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón; Antonio Fernández 002; Anders L. Madsen; Ramón Sáez (SCAI, 2015)

On Tree Structures Used by Simple Propagation. - Anders L. Madsen; Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos (Canadian AI, 2016)

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)

Bayesian Network Inference with Simple Propagation. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos; Anders L. Madsen (FLAIRS, 2016)

Financial Data Analysis with PGMs Using AMIDST. - Rafael Cabañas 001; Ana M. Martínez; Andrés R. Masegosa; Darío Ramos-López; Antonio Salmerón; Thomas D. Nielsen; Helge Langseth; Anders L. Madsen (ICDM Workshops, 2016)

d-VMP: Distributed Variational Message Passing. - Andrés R. Masegosa; Ana M. Martínez; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón; Darío Ramos-López; Anders L. Madsen (Probabilistic Graphical Models, 2016)

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. - Darío Ramos-López; Antonio Salmerón; Rafael Rumí; Ana M. Martínez; Thomas D. Nielsen; Andrés R. Masegosa; Helge Langseth; Anders L. Madsen (Probabilistic Graphical Models, 2016)

Bayesian network inference using marginal trees. - Cory J. Butz; Jhonatan de S. Oliveira; Anders L. Madsen (Int. J. Approx. Reason., 2016)

Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Anders L. Madsen (Int. J. Approx. Reason., 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)

Bayesian Models of Data Streams with Hierarchical Power Priors. - Andrés R. Masegosa; Thomas D. Nielsen; Helge Langseth; Darío Ramos-López; Antonio Salmerón; Anders L. Madsen (ICML, 2017)

Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level. - Anders L. Madsen; Nicolaj Søndberg-Jeppesen; Mohamed S. Sayed; Michael Peschl; Niels Lohse (IEA/AIE (2), 2017)

Scaling up Bayesian variational inference using distributed computing clusters. - Andrés R. Masegosa; Ana M. Martínez; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón; Darío Ramos-López; Anders L. Madsen (Int. J. Approx. Reason., 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)

MAP inference in dynamic hybrid Bayesian networks. - Darío Ramos-López; Andrés R. Masegosa; Ana M. Martínez; Antonio Salmerón; Thomas D. Nielsen; Helge Langseth; Anders L. Madsen (Prog. Artif. Intell., 2017)

A component framework as an enabler for industrial cyber physical systems. - Luís Neto; Anders L. Madsen; Nicolaj Søndberg-Jeppesen; Ricardo Silva; João Reis 001; Peter McIntyre; Gil Gonçalves 002 (ICPS, 2018)

Simple Propagation with Arc-Reversal in Bayesian Networks. - Anders L. Madsen; Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos (PGM, 2018)

An empirical study of Bayesian network inference with simple propagation. - Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos; Anders L. Madsen (Int. J. Approx. Reason., 2018)

Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. - Darío Ramos-López; Andrés R. Masegosa; Antonio Salmerón; Rafael Rumí; Helge Langseth; Thomas D. Nielsen; Anders L. Madsen (Int. J. Approx. Reason., 2018)

Early and Accurate Recognition of Highway Traffic Maneuvers Considering Real World Application: A Novel Framework Using Bayesian Networks. - Galia Weidl; Anders L. Madsen; Stevens Wang; Dietmar Kasper; Martin Karlsen (IEEE Intell. Transp. Syst. Mag., 2018)

A Review of Inference Algorithms for Hybrid Bayesian Networks. - Antonio Salmerón; Rafael Rumí; Helge Langseth; Thomas D. Nielsen; Anders L. Madsen (J. Artif. Intell. Res., 2018)

Exploiting Symmetry of Independence in d-Separation. - Cory J. Butz; André E. dos Santos; Jhonatan de S. Oliveira; Anders L. Madsen (Canadian AI, 2019)

Solving Influence Diagrams with Simple Propagation. - Anders L. Madsen; Cory J. Butz; Jhonatan de S. Oliveira; André E. dos Santos (Canadian AI, 2019)

AMIDST: A Java toolbox for scalable probabilistic machine learning. - Andrés R. Masegosa; Ana M. Martínez; Darío Ramos-López; Rafael Cabañas 001; Antonio Salmerón; Helge Langseth; Thomas D. Nielsen; Anders L. Madsen (Knowl. Based Syst., 2019)

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)

Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river. - David N. Barton; Håkon Sundt; Ana Adeva-Bustos; Hans-Petter Fjeldstad; Richard D. Hedger; Torbjørn Forseth; Berit Köhler; Øystein Aas; Knut Alfredsen; Anders L. Madsen (Environ. Model. Softw., 2020)

Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence. - S. Jannicke Moe; Anders L. Madsen; Kristin A. Connors; Jane M. Rawlings; Scott E. Belanger; Wayne G. Landis; Raoul Wolf; Adam D. Lillicrap (Environ. Model. Softw., 2020)

A Decision Support System to Predict Acute Fish Toxicity. - Anders L. Madsen; S. Jannicke Moe; Thomas Braunbeck; Kristin A. Connors; Michelle Embry; Kristin Schirmer; Stefan Scholz; Raoul Wolf; Adam A. Lillicrap (PGM, 2022)

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)

Stateful to Stateless: Modelling Stateless Ethereum. - Sandra Johnson; David Hyland-Wood; Anders L. Madsen; Kerrie L. Mengersen (MARS@ETAPS, 2022)

Comparative study of fuzzy-AHP and BBN for spatially-explicit prediction of bark beetle predisposition. - Meryem Tahri; Jan Kaspar; Anders L. Madsen; Roman Modlinger; Khodabakhsh Zabihi; Robert Marusák; Harald Vacik (Environ. Model. Softw., 2022)

Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style. - Yeimy Paola Valencia Usme; Marc Normann; Iryna Sapsai; Joerg Abke; Anders L. Madsen; Galia Weidl (ECSEE, 2023)

A Comparison of Different Marginalization Operations in Simple Propagation. - Anders L. Madsen; Cory J. Butz (ECSQARU, 2023)

Enhancing Control Room Operator Decision Making: An Application of Dynamic Influence Diagrams in Formaldehyde Manufacturing. - Joseph Mietkiewicz; Anders L. Madsen (ECSQARU, 2023)

Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals. - Galia Weidl; Stefan Berres; Anders L. Madsen; Johannes Daxenberger; Annegret Aulbach (PGM, 2024)

Reliable electricity distribution using a digital twin based on explainable artificial intelligence. - Rasmus L. Olsen; Hans-Peter Schwefel; Anders L. Madsen (SmartGridComm, 2024)

Proposer selection in EIP-7251. - Sandra Johnson; Kerrie L. Mengersen; Patrick O'Callaghan; Anders L. Madsen (CoRR, 2024)

On Fast arc-reversal. - Cory J. Butz; Anders L. Madsen; Jhonatan de S. Oliveira (Int. J. Approx. Reason., 2025)

Enhancing Safety Standards in Automated Systems Using Dynamic Bayesian Networks. - Kranthi Kumar Talluri; Anders L. Madsen; Galia Weidl (CoRR, 2025)