Anders L. Madsen

According to our database1, Anders L. Madsen authored at least 70 papers between 1998 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river.
Environ. Model. Softw., 2020

2019
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowl.-Based Syst., 2019

Solving Influence Diagrams with Simple Propagation.
Proceedings of the Advances in Artificial Intelligence, 2019

Exploiting Symmetry of Independence in d-Separation.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
A Review of Inference Algorithms for Hybrid Bayesian Networks.
J. Artif. Intell. Res., 2018

Early and Accurate Recognition of Highway Traffic Maneuvers Considering Real World Application: A Novel Framework Using Bayesian Networks.
IEEE Intell. Transport. Syst. Mag., 2018

Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.
Int. J. Approx. Reasoning, 2018

An empirical study of Bayesian network inference with simple propagation.
Int. J. Approx. Reasoning, 2018

Simple Propagation with Arc-Reversal in Bayesian Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

A component framework as an enabler for industrial cyber physical systems.
Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

2017
MAP inference in dynamic hybrid Bayesian networks.
Progress in AI, 2017

A parallel algorithm for Bayesian network structure learning from large data sets.
Knowl.-Based Syst., 2017

Scaling up Bayesian variational inference using distributed computing clusters.
Int. J. Approx. Reasoning, 2017

Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Bayesian Models of Data Streams with Hierarchical Power Priors.
Proceedings of the 34th International Conference on Machine Learning, 2017

Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016
Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams.
Int. J. Approx. Reasoning, 2016

Bayesian network inference using marginal trees.
Int. J. Approx. Reasoning, 2016

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

d-VMP: Distributed Variational Message Passing.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

On Bayesian Network Inference with Simple Propagation.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Financial Data Analysis with PGMs Using AMIDST.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

On Tree Structures Used by Simple Propagation.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Dynamic Bayesian modeling for risk prediction in credit operations.
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

A methodology for developing local smart diagnostic models using expert knowledge.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Modeling Concept Drift: A Probabilistic Graphical Model Based Approach.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Early Recognition of Maneuvers in Highway Traffic.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

MPE Inference in Conditional Linear Gaussian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Parallel Importance Sampling in Conditional Linear Gaussian Networks.
Proceedings of the Advances in Artificial Intelligence, 2015

Parallelisation of the PC Algorithm.
Proceedings of the Advances in Artificial Intelligence, 2015

Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Bayesian Networks with Function Nodes.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

On SPI-Lazy Evaluation of Influence Diagrams.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Requirement Engineering for a Small Project with Pre-Specified Scope.
Proceedings of the 27th Norsk Informatikkonferanse, 2014

On SPI for Evaluating Influence Diagrams.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements.
Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014

2013
Ordering arc-reversal operations when eliminating variables in lazy AR propagation.
Int. J. Approx. Reasoning, 2013

A Software Package for Web Deployment of Probabilistic Graphical Models.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

On Semantics of Inference in Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Approximate Lazy Evaluation of Influence Diagrams.
Proceedings of the Advances in Artificial Intelligence, 2013

d-Separation: Strong Completeness of Semantics in Bayesian Network Inference.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
An Empirical Evaluation of Possible Variations of Lazy Propagation
CoRR, 2012

A Differential Semantics of Lazy AR Propagation
CoRR, 2012

2011
Using Four Cost Measures to Determine Arc Reversal Orderings.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
Improvements to message computation in lazy propagation.
Int. J. Approx. Reasoning, 2010

2008
Belief update in CLG Bayesian networks with lazy propagation.
Int. J. Approx. Reasoning, 2008

Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime.
Proceedings of the Intelligence and Security Informatics, 2008

2005
Solving linear-quadratic conditional Gaussian influence diagrams.
Int. J. Approx. Reasoning, 2005

The Hugin Tool for Probabilistic Graphical Models.
International Journal on Artificial Intelligence Tools, 2005

Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes.
Computers & Chemical Engineering, 2005

2003
ADVOCATE II: ADVanced On-Board Diagnosis and Control of Autonomous Systems II.
Proceedings of the Computer Aided Systems Theory, 2003

The Hugin Tool for Learning Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Mixed Influence Diagrams.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002
Maximal prime subgraph decomposition of Bayesian networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Practical modeling of Bayesian decision problems - exploiting deterministic relations.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Hugin - The Tool for Bayesian Networks and Influence Diagrams.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Condition Monitoring, Root Cause Analysis and Decision Support on Urgency of Actions.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2001
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

2000
A Factorized Representation of Independence of Causal Influence and Lazy Propagation.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000

1999
LAZY Propagation: A Junction Tree Inference Algorithm Based on Lazy Evaluation.
Artif. Intell., 1999

Lazy Evaluation of Symmetric Bayesian Decision Problems.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Lazy Propagation and Independence of Causal Influence.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

1998
Lazy Propagation in Junction Trees.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

ProbSy--A System for the Calculation of Probabilities in the Card Game Bridge.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

Lazy Propagation and Independence of Causal Influence.
Proceedings of the 13th European Conference on Artificial Intelligence, 1998


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