Anders L. Madsen

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 47

Top Topics

Influence Diagrams

Lazy Evaluation

Emergency Department

Top Venues

Probabilistic Graphical Models

Int. J. Approx. Reason.

Publications

Sandra Johnson, Kerrie L. Mengersen, Patrick O'Callaghan, Anders L. Madsen
Proposer selection in EIP-7251. CoRR (2024)
Anders L. Madsen, Cory J. Butz
A Comparison of Different Marginalization Operations in Simple Propagation. ECSQARU (2023)
Yeimy Paola Valencia Usme, Marc Normann, Iryna Sapsai, Joerg Abke, Anders L. Madsen, Galia Weidl
Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style. ECSEE (2023)
Joseph Mietkiewicz, Anders L. Madsen
Enhancing Control Room Operator Decision Making: An Application of Dynamic Influence Diagrams in Formaldehyde Manufacturing. ECSQARU (2023)
Meryem Tahri, Jan Kaspar, Anders L. Madsen, Roman Modlinger, Khodabakhsh Zabihi, Robert Marusák, Harald Vacik
Comparative study of fuzzy-AHP and BBN for spatially-explicit prediction of bark beetle predisposition. Environ. Model. Softw. 147 (2022)
Anders L. Madsen, S. Jannicke Moe, Thomas Braunbeck, Kristin A. Connors, Michelle Embry, Kristin Schirmer, Stefan Scholz, Raoul Wolf, Adam A. Lillicrap
A Decision Support System to Predict Acute Fish Toxicity. PGM (2022)
Anders L. Madsen, Kristian G. Olesen, Frank Jensen, Per Henriksen, Thomas Mulvad Larsen, Jørn Munkhof Møller
Online Updating of Conditional Linear Gaussian Bayesian Networks. PGM (2022)
Sandra Johnson, David Hyland-Wood, Anders L. Madsen, Kerrie L. Mengersen
Stateful to Stateless: Modelling Stateless Ethereum. MARS@ETAPS (2022)
S. Jannicke Moe, Anders L. Madsen, Kristin A. Connors, Jane M. Rawlings, Scott E. Belanger, Wayne G. Landis, Raoul Wolf, Adam D. Lillicrap
Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence. Environ. Model. Softw. 126 (2020)
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
Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river. Environ. Model. Softw. 124 (2020)
Anders L. Madsen, Kristian G. Olesen, Jørn Munkhof Møller, Nicolaj Søndberg-Jeppesen, Frank Jensen, Thomas Mulvad Larsen, Per Henriksen, Morten Lindblad, Trine Søby Christensen
A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital. PGM (2020)
Anders L. Madsen, Kristian G. Olesen, Heidi Lynge Løvschall, Nicolaj Søndberg-Jeppesen, Frank Jensen, Morten Lindblad, Mads Lause Mogensen, Trine Søby Christensen
Prediction of High Risk of Deviations in Home Care Deliveries. PGM (2020)
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
AMIDST: A Java toolbox for scalable probabilistic machine learning. Knowl. Based Syst. 163 (2019)
Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
Solving Influence Diagrams with Simple Propagation. Canadian Conference on AI (2019)
Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Anders L. Madsen
Exploiting Symmetry of Independence in d-Separation. Canadian Conference on AI (2019)
Luis Neto, Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Ricardo Silva, João Reis, Peter McIntyre, Gil Gonçalves
A component framework as an enabler for industrial cyber physical systems. ICPS (2018)
Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
A Review of Inference Algorithms for Hybrid Bayesian Networks. J. Artif. Intell. Res. 62 (2018)
Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. Int. J. Approx. Reason. 100 (2018)
Galia Weidl, Anders L. Madsen, Stevens Wang, Dietmar Kasper, Martin Karlsen
Early and Accurate Recognition of Highway Traffic Maneuvers Considering Real World Application: A Novel Framework Using Bayesian Networks. IEEE Intell. Transp. Syst. Mag. 10 (3) (2018)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
An empirical study of Bayesian network inference with simple propagation. Int. J. Approx. Reason. 92 (2018)
Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
Simple Propagation with Arc-Reversal in Bayesian Networks. PGM (2018)
Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
Bayesian Models of Data Streams with Hierarchical Power Priors. ICML (2017)
Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Mohamed S. Sayed, Michael Peschl, Niels Lohse
Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level. IEA/AIE (2) (2017)
Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luis Neto, João Reis, Niels Lohse
Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. ECSQARU (2017)
Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen
A parallel algorithm for Bayesian network structure learning from large data sets. Knowl. Based Syst. 117 (2017)
Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
MAP inference in dynamic hybrid Bayesian networks. Prog. Artif. Intell. 6 (2) (2017)
Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
Scaling up Bayesian variational inference using distributed computing clusters. Int. J. Approx. Reason. 88 (2017)
Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
Bayesian Models of Data Streams with Hierarchical Power Priors. CoRR (2017)
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning. CoRR (2017)
Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. Probabilistic Graphical Models (2016)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
On Bayesian Network Inference with Simple Propagation. Probabilistic Graphical Models (2016)
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
Bayesian Network Inference with Simple Propagation. FLAIRS Conference (2016)
Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen
Bayesian network inference using marginal trees. Int. J. Approx. Reason. 68 (2016)
Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
On Tree Structures Used by Simple Propagation. Canadian Conference on AI (2016)
Antonio Salmerón, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Darío Ramos-López, Ana M. Martínez, Andrés R. Masegosa
Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. ECAI (2016)
Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
d-VMP: Distributed Variational Message Passing. Probabilistic Graphical Models (2016)
Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
Financial Data Analysis with PGMs Using AMIDST. ICDM Workshops (2016)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams. Int. J. Approx. Reason. 70 (2016)
Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Niels Lohse, Mohamed S. Sayed
A methodology for developing local smart diagnostic models using expert knowledge. INDIN (2015)
Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez
Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. IDA (2015)
Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen
Parallelisation of the PC Algorithm. CAEPIA (2015)
Antonio Salmerón, Darío Ramos-López, Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Antonio Fernández, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
Parallel Importance Sampling in Conditional Linear Gaussian Networks. CAEPIA (2015)
Mohamed S. Sayed, Niels Lohse, Nicolaj Søndberg-Jeppesen, Anders L. Madsen
SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices. INDIN (2015)
Antonio Salmerón, Rafael Rumí, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
MPE Inference in Conditional Linear Gaussian Networks. ECSQARU (2015)
Galia Weidl, Anders L. Madsen, Viacheslav Tereshchenko, Dietmar Kasper, Gabi Breuel
Early Recognition of Maneuvers in Highway Traffic. ECSQARU (2015)
Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez
Dynamic Bayesian modeling for risk prediction in credit operations. SCAI (2015)
Anders L. Madsen, Cory J. Butz
Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. Canadian Conference on AI (2015)
Anders L. Madsen, Frank Jensen, Martin Karlsen, Nicolaj Søndberg-Jeppesen
Bayesian Networks with Function Nodes. Probabilistic Graphical Models (2014)
Rafael Cabañas, Anders L. Madsen, Andrés Cano, Manuel Gómez-Olmedo
On SPI for Evaluating Influence Diagrams. IPMU (1) (2014)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
On SPI-Lazy Evaluation of Influence Diagrams. Probabilistic Graphical Models (2014)
Thomas D. Nielsen, Sigve Hovda, Antonio Fernández, Helge Langseth, Anders L. Madsen, Andrés R. Masegosa, Antonio Salmerón
Requirement Engineering for a Small Project with Pre-Specified Scope. NIK (2014)
Anders L. Madsen, Frank Jensen, Antonio Salmerón, Martin Karlsen, Helge Langseth, Thomas D. Nielsen
A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs. Probabilistic Graphical Models (2014)
Galia Weidl, Anders L. Madsen, Dietmar Kasper, Gabi Breuel
Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements. ISIC (2014)
Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen
Bayesian Network Inference Using Marginal Trees. Probabilistic Graphical Models (2014)
Anders L. Madsen, Dennis Nilsson
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation CoRR (2013)
Cory J. Butz, Wen Yan, Anders L. Madsen
d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. Canadian Conference on AI (2013)
Cory J. Butz, Wen Yan, Anders L. Madsen
On Semantics of Inference in Bayesian Networks. ECSQARU (2013)
Anders L. Madsen, Finn Verner Jensen
Lazy Propagation in Junction Trees CoRR (2013)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
Approximate Lazy Evaluation of Influence Diagrams. CAEPIA (2013)
Anders L. Madsen, Finn Verner Jensen
Lazy Evaluation of Symmetric Bayesian Decision Problems CoRR (2013)
Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees. SCAI (2013)
Anders L. Madsen, Martin Karlsen, Gary C. Barker, Ana Belén García, Jeffrey Hoorfar, Frank Jensen, Håkan Vigre
A Software Package for Web Deployment of Probabilistic Graphical Models. SCAI (2013)
Anders L. Madsen, Cory J. Butz
On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. ECSQARU (2013)
Anders L. Madsen, Cory J. Butz
Ordering arc-reversal operations when eliminating variables in lazy AR propagation. Int. J. Approx. Reason. 54 (8) (2013)
Anders L. Madsen
An Empirical Evaluation of Possible Variations of Lazy Propagation CoRR (2012)
Anders L. Madsen
Belief Update in CLG Bayesian Networks With Lazy Propagation. CoRR (2012)
Anders L. Madsen
A Differential Semantics of Lazy AR Propagation CoRR (2012)
Cory J. Butz, Anders L. Madsen, Kevin Williams
Using Four Cost Measures to Determine Arc Reversal Orderings. ECSQARU (2011)
Anders L. Madsen
Improvements to message computation in lazy propagation. Int. J. Approx. Reason. 51 (5) (2010)
Luigi Ferrara, Christian Mårtenson, Pontus Svenson, Per Svensson, Justo Hidalgo, Anastasio Molano, Anders L. Madsen
Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime. ISI Workshops (2008)
Anders L. Madsen
Belief update in CLG Bayesian networks with lazy propagation. Int. J. Approx. Reason. 49 (2) (2008)
Anders L. Madsen
Belief Update in CLG Bayesian Networks With Lazy Propagation. UAI (2006)
Anders L. Madsen
Variations over the message computation algorithm of lazy propagation. IEEE Trans. Syst. Man Cybern. Part B 36 (3) (2006)
Anders L. Madsen, Frank Jensen, Uffe Kjærulff, Michael Lang
The Hugin Tool for Probabilistic Graphical Models. Int. J. Artif. Intell. Tools 14 (3) (2005)
Galia Weidl, Anders L. Madsen, Stefan Israelson
Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes. Comput. Chem. Eng. 29 (9) (2005)
Anders L. Madsen, Frank Jensen
Solving linear-quadratic conditional Gaussian influence diagrams. Int. J. Approx. Reason. 38 (3) (2005)
Anders L. Madsen, Michael Lang, Uffe Kjærulff, Frank Jensen
The Hugin Tool for Learning Bayesian Networks. ECSQARU (2003)
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
ADVOCATE II: ADVanced On-Board Diagnosis and Control of Autonomous Systems II. EUROCAST (2003)
Anders L. Madsen, Frank Jensen
Mixed Influence Diagrams. ECSQARU (2003)
Galia Weidl, Anders L. Madsen, Erik Dahlquist
Condition Monitoring, Root Cause Analysis and Decision Support on Urgency of Actions. HIS (2002)
Kristian G. Olesen, Anders L. Madsen
Maximal prime subgraph decomposition of Bayesian networks. IEEE Trans. Syst. Man Cybern. Part B 32 (1) (2002)
Frank Jensen, Uffe Kjærulff, Michael Lang, Anders L. Madsen
Hugin - The Tool for Bayesian Networks and Influence Diagrams. Probabilistic Graphical Models (2002)
Anders L. Madsen, Kristian G. Olesen, Søren L. Dittmer
Practical modeling of Bayesian decision problems - exploiting deterministic relations. IEEE Trans. Syst. Man Cybern. Part B 32 (1) (2002)
Anders L. Madsen, Kristian G. Olesen, Søren L. Dittmer
Practical Modeling of Bayesian Decision Problems -- Exploiting Deterministic Relations. FLAIRS Conference (2001)
Kristian G. Olesen, Anders L. Madsen
Maximal Prime Subgraph Decomposition of Bayesian Networks. FLAIRS Conference (2001)
Anders L. Madsen, Dennis Nilsson
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation. UAI (2001)
Anders L. Madsen, Bruce D'Ambrosio
A Factorized Representation of Independence of Causal Influence and Lazy Propagation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8 (2) (2000)
Anders L. Madsen, Bruce D'Ambrosio
A Factorized Representation of Independence of Causal Influence and Lazy Propagation. FLAIRS Conference (1999)
Anders L. Madsen, Finn Verner Jensen
LAZY Propagation: A Junction Tree Inference Algorithm Based on Lazy Evaluation. Artif. Intell. 113 (1-2) (1999)
Anders L. Madsen, Bruce D'Ambrosio
Lazy Propagation and Independence of Causal Influence. ESCQARU (1999)
Anders L. Madsen, Finn Verner Jensen
Lazy Evaluation of Symmetric Bayesian Decision Problems. UAI (1999)
Anders L. Madsen, Finn Verner Jensen
Lazy Propagation in Junction Trees. UAI (1998)
Anders L. Madsen
Lazy Propagation and Independence of Causal Influence. ECAI (1998)
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)