Anders L. Madsen

104 papers A* 1A 6B 1C 16Misc 5Journal 37Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predicting operators reliability for control room alarm management using knowledge-based Bayesian networks. Reliab. Eng. Syst. Saf. Houda Briwa, Anders L. Madsen, Maria Chiara Leva
2025	C	`conf`	Arithmetic Circuit Compilation Using Symbolic Probabilistic Inference and Indicator-Determined Buckets. ECSQARU Cory J. Butz, Camilla E. Lewis, Alejandro Santoscoy-Rivero, Anders L. Madsen
2025	C	`conf`	Classifying Control Room Operators' Performance Using Bayesian Networks. ECSQARU Houda Briwa, Anders L. Madsen, Maria Chiara Leva
2025	J	`jnl`	Enhancing Safety Standards in Automated Systems Using Dynamic Bayesian Networks. CoRR Kranthi Kumar Talluri, Anders L. Madsen, Galia Weidl
2025	J	`jnl`	Managing the unexpected: Operator behavioural data and its value in predicting correct alarm responses. CoRR Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Anders L. Madsen, Maria Chiara Leva
2025	J	`jnl`	On Fast arc-reversal. Int. J. Approx. Reason. Cory J. Butz, Anders L. Madsen, Jhonatan de S. Oliveira
2025	C	`conf`	Wrong Data Detection in Electricity Distribution Grids Using Bayesian Networks. ECSQARU Anders L. Madsen, Somesh Bhattacharya, Christian Dausel Jensen, Rasmus L. Olsen, Hans-Peter Schwefel
2024	—	`conf`	Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals. PGM Galia Weidl, Stefan Berres, Anders L. Madsen, Johannes Daxenberger, Annegret Aulbach
2024	—	`conf`	Fast Arc-Reversal. PGM Cory J. Butz, Anders L. Madsen, Jhonatan de S. Oliveira
2024	J	`jnl`	Proposer selection in EIP-7251. CoRR Sandra Johnson, Kerrie L. Mengersen, Patrick O'Callaghan, Anders L. Madsen
2024	—	`conf`	Reliable electricity distribution using a digital twin based on explainable artificial intelligence. SmartGridComm Rasmus L. Olsen, Hans-Peter Schwefel, Anders L. Madsen
2023	C	`conf`	A Comparison of Different Marginalization Operations in Simple Propagation. ECSQARU Anders L. Madsen, Cory J. Butz
2023	C	`conf`	Enhancing Control Room Operator Decision Making: An Application of Dynamic Influence Diagrams in Formaldehyde Manufacturing. ECSQARU Joseph Mietkiewicz, Anders L. Madsen
2023	—	`conf`	Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style. ECSEE Yeimy Paola Valencia Usme, Marc Normann, Iryna Sapsai, Joerg Abke, Anders L. Madsen, Galia Weidl
2022	—	`conf`	A Decision Support System to Predict Acute Fish Toxicity. PGM Anders L. Madsen, S. Jannicke Moe, Thomas Braunbeck, Kristin A. Connors, Michelle Embry, Kristin Schirmer, Stefan Scholz, Raoul Wolf, Adam A. Lillicrap
2022	J	`jnl`	Comparative study of fuzzy-AHP and BBN for spatially-explicit prediction of bark beetle predisposition. Environ. Model. Softw. Meryem Tahri, Jan Kaspar, Anders L. Madsen, Roman Modlinger, Khodabakhsh Zabihi, Robert Marusák, Harald Vacik
2022	—	`conf`	Online Updating of Conditional Linear Gaussian Bayesian Networks. PGM Anders L. Madsen, Kristian G. Olesen, Frank Jensen, Per Henriksen, Thomas Mulvad Larsen, Jørn Munkhof Møller
2022	—	`conf`	Stateful to Stateless: Modelling Stateless Ethereum. MARS Sandra Johnson, David Hyland-Wood, Anders L. Madsen, Kerrie L. Mengersen
2020	—	`conf`	A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital. PGM Anders L. Madsen, Kristian G. Olesen, Jørn Munkhof Møller, Nicolaj Søndberg-Jeppesen, Frank Jensen, Thomas Mulvad Larsen, Per Henriksen, Morten Lindblad, Trine Søby Christensen
2020	J	`jnl`	Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence. Environ. Model. Softw. S. Jannicke Moe, Anders L. Madsen, Kristin A. Connors, Jane M. Rawlings, Scott E. Belanger, Wayne G. Landis, Raoul Wolf, Adam D. Lillicrap
2020	J	`jnl`	Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river. Environ. Model. Softw. 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
2020	—	`conf`	Prediction of High Risk of Deviations in Home Care Deliveries. PGM Anders L. Madsen, Kristian G. Olesen, Heidi Lynge Løvschall, Nicolaj Søndberg-Jeppesen, Frank Jensen, Morten Lindblad, Mads Lause Mogensen, Trine Søby Christensen
2019	J	`jnl`	AMIDST: A Java toolbox for scalable probabilistic machine learning. Knowl. Based Syst. Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
2019	—	`conf`	Exploiting Symmetry of Independence in d-Separation. Canadian AI Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Anders L. Madsen
2019	—	`conf`	Solving Influence Diagrams with Simple Propagation. Canadian AI Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2018	J	`jnl`	A Review of Inference Algorithms for Hybrid Bayesian Networks. J. Artif. Intell. Res. Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
2018	—	`conf`	A component framework as an enabler for industrial cyber physical systems. ICPS Luís Neto, Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Ricardo Silva, João Reis, Peter McIntyre, Gil Gonçalves
2018	J	`jnl`	An empirical study of Bayesian network inference with simple propagation. Int. J. Approx. Reason. Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
2018	J	`jnl`	Early and Accurate Recognition of Highway Traffic Maneuvers Considering Real World Application: A Novel Framework Using Bayesian Networks. IEEE Intell. Transp. Syst. Mag. Galia Weidl, Anders L. Madsen, Stevens Wang, Dietmar Kasper, Martin Karlsen
2018	J	`jnl`	Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. Int. J. Approx. Reason. Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
2018	—	`conf`	Simple Propagation with Arc-Reversal in Bayesian Networks. PGM Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2017	J	`jnl`	A parallel algorithm for Bayesian network structure learning from large data sets. Knowl. Based Syst. Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen
2017	J	`jnl`	AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning. CoRR Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2017	—	`conf`	Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level. IEA/AIE (2) Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Mohamed S. Sayed, Michael Peschl, Niels Lohse
2017	A*	`conf`	Bayesian Models of Data Streams with Hierarchical Power Priors. ICML Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
2017	J	`jnl`	Bayesian Models of Data Streams with Hierarchical Power Priors. CoRR Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
2017	J	`jnl`	MAP inference in dynamic hybrid Bayesian networks. Prog. Artif. Intell. Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2017	C	`conf`	Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. ECSQARU Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luís Neto, João Reis, Niels Lohse
2017	J	`jnl`	Scaling up Bayesian variational inference using distributed computing clusters. Int. J. Approx. Reason. Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
2016	Misc	`conf`	Bayesian Network Inference with Simple Propagation. FLAIRS Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
2016	J	`jnl`	Bayesian network inference using marginal trees. Int. J. Approx. Reason. Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen
2016	—	`conf`	Financial Data Analysis with PGMs Using AMIDST. ICDM Workshops Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2016	J	`jnl`	Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams. Int. J. Approx. Reason. Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
2016	—	`conf`	On Bayesian Network Inference with Simple Propagation. Probabilistic Graphical Models Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen
2016	—	`conf`	On Tree Structures Used by Simple Propagation. Canadian AI Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos
2016	A	`conf`	Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. ECAI Antonio Salmerón, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Darío Ramos-López, Ana M. Martínez, Andrés R. Masegosa
2016	—	`conf`	Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. Probabilistic Graphical Models Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen
2016	—	`conf`	d-VMP: Distributed Variational Message Passing. Probabilistic Graphical Models Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
2015	C	`conf`	A methodology for developing local smart diagnostic models using expert knowledge. INDIN Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Niels Lohse, Mohamed S. Sayed
2015	—	`conf`	Dynamic Bayesian modeling for risk prediction in credit operations. SCAI Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez
2015	C	`conf`	Early Recognition of Maneuvers in Highway Traffic. ECSQARU Galia Weidl, Anders L. Madsen, Viacheslav Tereshchenko, Dietmar Kasper, Gabi Breuel
2015	—	`conf`	Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. Canadian AI Anders L. Madsen, Cory J. Butz
2015	C	`conf`	MPE Inference in Conditional Linear Gaussian Networks. ECSQARU Antonio Salmerón, Rafael Rumí, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
2015	B	`conf`	Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. IDA Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez
2015	—	`conf`	Parallel Importance Sampling in Conditional Linear Gaussian Networks. CAEPIA Antonio Salmerón, Darío Ramos-López, Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Antonio Fernández, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
2015	—	`conf`	Parallelisation of the PC Algorithm. CAEPIA Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen
2015	C	`conf`	SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices. INDIN Mohamed S. Sayed, Niels Lohse, Nicolaj Søndberg-Jeppesen, Anders L. Madsen
2014	—	`conf`	A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs. Probabilistic Graphical Models Anders L. Madsen, Frank Jensen, Antonio Salmerón, Martin Karlsen, Helge Langseth, Thomas D. Nielsen
2014	—	`conf`	Bayesian Network Inference Using Marginal Trees. Probabilistic Graphical Models Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen
2014	—	`conf`	Bayesian Networks with Function Nodes. Probabilistic Graphical Models Anders L. Madsen, Frank Jensen, Martin Karlsen, Nicolaj Søndberg-Jeppesen
2014	—	`conf`	On SPI for Evaluating Influence Diagrams. IPMU (1) Rafael Cabañas, Anders L. Madsen, Andrés Cano, Manuel Gómez-Olmedo
2014	—	`conf`	On SPI-Lazy Evaluation of Influence Diagrams. Probabilistic Graphical Models Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
2014	—	`conf`	Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements. ISIC Galia Weidl, Anders L. Madsen, Dietmar Kasper, Gabi Breuel
2014	—	`conf`	Requirement Engineering for a Small Project with Pre-Specified Scope. NIK Thomas D. Nielsen, Sigve Hovda, Antonio Fernández, Helge Langseth, Anders L. Madsen, Andrés R. Masegosa, Antonio Salmerón
2013	—	`conf`	A Software Package for Web Deployment of Probabilistic Graphical Models. SCAI Anders L. Madsen, Martin Karlsen, Gary C. Barker, Ana Belén García, Jeffrey Hoorfar, Frank Jensen, Håkan Vigre
2013	—	`conf`	Approximate Lazy Evaluation of Influence Diagrams. CAEPIA Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
2013	—	`conf`	Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees. SCAI Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
2013	J	`jnl`	Lazy Evaluation of Symmetric Bayesian Decision Problems CoRR Anders L. Madsen, Finn Verner Jensen
2013	J	`jnl`	Lazy Propagation in Junction Trees CoRR Anders L. Madsen, Finn Verner Jensen
2013	C	`conf`	On Semantics of Inference in Bayesian Networks. ECSQARU Cory J. Butz, Wen Yan, Anders L. Madsen
2013	C	`conf`	On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. ECSQARU Anders L. Madsen, Cory J. Butz
2013	J	`jnl`	Ordering arc-reversal operations when eliminating variables in lazy AR propagation. Int. J. Approx. Reason. Anders L. Madsen, Cory J. Butz
2013	J	`jnl`	Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation CoRR Anders L. Madsen, Dennis Nilsson
2013	—	`conf`	d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. Canadian AI Cory J. Butz, Wen Yan, Anders L. Madsen
2012	J	`jnl`	A Differential Semantics of Lazy AR Propagation CoRR Anders L. Madsen
2012	J	`jnl`	An Empirical Evaluation of Possible Variations of Lazy Propagation CoRR Anders L. Madsen
2012	J	`jnl`	Belief Update in CLG Bayesian Networks With Lazy Propagation. CoRR Anders L. Madsen
2011	C	`conf`	Using Four Cost Measures to Determine Arc Reversal Orderings. ECSQARU Cory J. Butz, Anders L. Madsen, Kevin Williams
2010	J	`jnl`	Improvements to message computation in lazy propagation. Int. J. Approx. Reason. Anders L. Madsen
2008	J	`jnl`	Belief update in CLG Bayesian networks with lazy propagation. Int. J. Approx. Reason. Anders L. Madsen
2008	—	`conf`	Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime. ISI Workshops Luigi Ferrara, Christian Mårtenson, Pontus Svenson, Per Svensson, Justo Hidalgo, Anastasio Molano, Anders L. Madsen
2006	A	`conf`	Belief Update in CLG Bayesian Networks With Lazy Propagation. UAI Anders L. Madsen
2006	J	`jnl`	Variations over the message computation algorithm of lazy propagation. IEEE Trans. Syst. Man Cybern. Part B Anders L. Madsen
2005	J	`jnl`	Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes. Comput. Chem. Eng. Galia Weidl, Anders L. Madsen, Stefan Israelson
2005	J	`jnl`	Solving linear-quadratic conditional Gaussian influence diagrams. Int. J. Approx. Reason. Anders L. Madsen, Frank Jensen
2005	J	`jnl`	The Hugin Tool for Probabilistic Graphical Models. Int. J. Artif. Intell. Tools Anders L. Madsen, Frank Jensen, Uffe Kjærulff, Michael Lang
2003	—	`conf`	ADVOCATE II: ADVanced On-Board Diagnosis and Control of Autonomous Systems II. EUROCAST 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
2003	C	`conf`	Mixed Influence Diagrams. ECSQARU Anders L. Madsen, Frank Jensen
2003	C	`conf`	The Hugin Tool for Learning Bayesian Networks. ECSQARU Anders L. Madsen, Michael Lang, Uffe Kjærulff, Frank Jensen
2002	C	`conf`	Condition Monitoring, Root Cause Analysis and Decision Support on Urgency of Actions. HIS Galia Weidl, Anders L. Madsen, Erik Dahlquist
2002	—	`conf`	Hugin - The Tool for Bayesian Networks and Influence Diagrams. Probabilistic Graphical Models Frank Jensen, Uffe Kjærulff, Michael Lang, Anders L. Madsen
2002	J	`jnl`	Maximal prime subgraph decomposition of Bayesian networks. IEEE Trans. Syst. Man Cybern. Part B Kristian G. Olesen, Anders L. Madsen
2002	J	`jnl`	Practical modeling of Bayesian decision problems - exploiting deterministic relations. IEEE Trans. Syst. Man Cybern. Part B Anders L. Madsen, Kristian G. Olesen, Søren L. Dittmer
2001	Misc	`conf`	Maximal Prime Subgraph Decomposition of Bayesian Networks. FLAIRS Kristian G. Olesen, Anders L. Madsen
2001	Misc	`conf`	Practical Modeling of Bayesian Decision Problems -- Exploiting Deterministic Relations. FLAIRS Anders L. Madsen, Kristian G. Olesen, Søren L. Dittmer
2001	A	`conf`	Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation. UAI Anders L. Madsen, Dennis Nilsson
2000	J	`jnl`	A Factorized Representation of Independence of Causal Influence and Lazy Propagation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Anders L. Madsen, Bruce D'Ambrosio
1999	Misc	`conf`	A Factorized Representation of Independence of Causal Influence and Lazy Propagation. FLAIRS Anders L. Madsen, Bruce D'Ambrosio
1999	J	`jnl`	LAZY Propagation: A Junction Tree Inference Algorithm Based on Lazy Evaluation. Artif. Intell. Anders L. Madsen, Finn Verner Jensen
1999	A	`conf`	Lazy Evaluation of Symmetric Bayesian Decision Problems. UAI Anders L. Madsen, Finn Verner Jensen
1999	—	`conf`	Lazy Propagation and Independence of Causal Influence. ESCQARU Anders L. Madsen, Bruce D'Ambrosio
1998	A	`conf`	Lazy Propagation and Independence of Causal Influence. ECAI Anders L. Madsen
1998	A	`conf`	Lazy Propagation in Junction Trees. UAI Anders L. Madsen, Finn Verner Jensen
1998	Misc	`conf`	ProbSy--A System for the Calculation of Probabilities in the Card Game Bridge. FLAIRS Anders L. Madsen, Lars M. Nielsen, Finn Verner Jensen