• Selma Lagerløfs Vej 300

    9220 Aalborg Ø


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  • 4 Similar Profiles
Bayesian networks Engineering & Materials Science
Importance sampling Engineering & Materials Science
Bayesian Networks Mathematics
Learning systems Engineering & Materials Science
Cognitive systems Engineering & Materials Science
Parallel algorithms Engineering & Materials Science
Binary trees Engineering & Materials Science
Gaussian Mixture Mathematics

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Projects 2014 2016

Automotive industry
Software engineering
Decision making

Research Output 2012 2019

1 Citation (Scopus)

AMIDST: A Java toolbox for scalable probabilistic machine learning

Masegosa, A., Martinez, A. M., Ramos-López, D., Cabanas de Paz, R., Salmerón, A., Langseth, H., Nielsen, T. D. & Madsen, A. L., 1 Jan 2019, In : Knowledge-Based Systems. 163, p. 595-597 3 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Learning systems
Message passing
Probability distributions
Machine learning

A component framework as an enabler for industrial cyber physical systems

Neto, L., Madsen, A. L., Søndberg-Jeppesen, N., Silva, R., Reis, J., McIntyre, P. & Gonçalves, G., 15 Jun 2018, Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. IEEE, p. 339-344 6 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Bayesian networks
Fault detection
Software engineering
1 Citation (Scopus)

An empirical study of Bayesian network inference with simple propagation

Butz, C. J., Oliveira, J., dos Santos, A. E. & Madsen, A. L., 1 Jan 2018, In : International Journal of Approximate Reasoning. 92, p. 198-211 14 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Bayesian networks
Bayesian Networks
Empirical Study
86 Downloads (Pure)

A Review of Inference Algorithms for Hybrid Bayesian Networks

Salmerón, A., Rumí, R., Langseth, H., Nielsen, T. D. & Madsen, A. L., 1 Aug 2018, In : Journal of Artificial Intelligence Research. 62, p. 799-828 30 p.

Research output: Contribution to journalReview articleResearchpeer-review

Open Access
Bayesian networks

Early and accurate recognition of highway traffic maneuvers considering real world application: a novel framework using Bayesian networks

Weidl, G., Madsen, A. L., Wang, S., Dietmar, K. & Karlsen, M., 1 Sep 2018, In : IEEE Intelligent Transportation Systems Magazine. 10, 3, p. 146-158 13 p., 8375109.

Research output: Contribution to journalJournal articleResearchpeer-review

Cognitive systems
Knowledge representation
Bayesian networks

Press / Media

Navnestof: Adjungeret professor

Anders Læsø Madsen


4 items of media coverage

Press/Media: Press / Media