Langseth, Helge Author
Analysis of OREDA data for maintenance optimisation
- Langseth H.
- Haugen K.
- Sandtorv H.
Reliability Engineering and System Safety - 1/1/1998
- CiteScore: 9.3 (2020)
Uncertainty bounds for a monotone multistate system
- Langseth H.
- Lindqvist B.
Probability in the Engineering and Informational Sciences - 1/12/1998
- CiteScore: 1.7 (2020)
Parameter learning in object-oriented Bayesian networks
- Langseth H.
- Bangsø O.
Annals of Mathematics and Artificial Intelligence - 1/12/2001
- SJR Quartile: Q2
- CiteScore: 2.5 (2020)
- SJR: 0.747 (2001
- SNIP: 1.542 (2001
- SJR Categories: Applied Mathematics (Q2); Artificial Intelligence (Q2)
The SACSO methodology for troubleshooting complex systems
- Jensen F.
- Kjærulff U.
- Kristiansen B.
- Langseth H.
- Skaanning C.
- Vomlel J.
- Vomlelová M.
Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM - 1/9/2001
- SJR Quartile: Q1
- CiteScore: 2.9 (2020)
- SJR: 0.365 (2001
- SNIP: 0.885 (2001
- SJR Categories: Industrial and Manufacturing Engineering (Q1); Artificial Intelligence (Q3)
Decision theoretic troubleshooting of coherent systems
- Langseth H.
- Jensen F.
Reliability Engineering and System Safety - 1/4/2003
- SJR Quartile: Q1
- CiteScore: 9.3 (2020)
- SJR: 0.414 (2003
- SNIP: 1.307 (2003
- SJR Categories: Industrial and Manufacturing Engineering (Q1); Safety, Risk, Reliability and Quality (Q2); Applied Mathematics (Q3)
Fusion of domain knowledge with data for structural learning in object oriented domains
- Langseth H.
- Nielsen T.
Journal of Machine Learning Research - 1/4/2004
- SJR Quartile: Q1
- CiteScore: 6.8 (2020)
- SJR: 1.691 (2004
- SNIP: 6.419 (2004
- SJR Categories: Artificial Intelligence (Q1); Control and Systems Engineering (Q1); Software (Q1); Statistics and Probability (Q1)
Failure modeling and maintenance optimization for a railway line
- Hokstad P.
- Langseth H.
- Lindqvist B.
- Vatn J.
International Journal of Performability Engineering - 1/1/2005
- CiteScore: 0.8 (2020)
- SJR Categories: Safety, Risk, Reliability and Quality
Latent classification models
- Langseth H.
- Nielsen T.
Machine Learning - 1/6/2005
- SJR Quartile: Q1
- CiteScore: 6.1 (2020)
- SJR: 2.604 (2005
- SNIP: 5.656 (2005
- SJR Categories: Artificial Intelligence (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
Competing risks for repairable systems: A data study
- Langseth H.
- Lindqvist B.
Journal of Statistical Planning and Inference - 1/5/2006
- SJR Quartile: Q2
- CiteScore: 1.4 (2020)
- SJR: 0.937 (2006
- SNIP: 1.051 (2006
- SJR Categories: Applied Mathematics (Q2); Statistics and Probability (Q2); Statistics, Probability and Uncertainty (Q2)
Classification using Hierarchical Naïve Bayes models
- Langseth H.
- Nielsen T.
Machine Learning - 1/5/2006
- SJR Quartile: Q1
- CiteScore: 6.1 (2020)
- SJR: 1.8 (2006
- SNIP: 4.144 (2006
- SJR Categories: Artificial Intelligence (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
Applications of Bayesian networks in reliability analysis
- Langseth H.
- Portinale L.
Bayesian Network Technologies: Applications and Graphical Models - 1/12/2007
10.4018/978-1-59904-141-4.ch005
Bayesian networks in reliability: The good, the bad, and the ugly
- Langseth H.
Advances in Mathematical Modeling for Reliability - 1/5/2008
Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions
- Langseth H.
- Nielsen T.
- Rumí R.
- Salmerón A.
Proceedings of the Sixth European Workshop on Probabilistic Graphical Models - 1/12/2012
- SJR Categories: Statistics and Probability
- Scopus
- ORCID
Learning hybrid bayesian networks using mixtures of truncated basis functions. Aprendizaje de redes bayesianas híbridas con mixturas de funciones base truncadas
- Inmaculada Pérez-Bernabé
- Antonio Salmerón Cerdán
- Helge Langseth
2015
- Dialnet
Beating the bookie: A look at statistical models for prediction of football matches
- Langseth H.
Frontiers in Artificial Intelligence and Applications - 1/12/2013
- SJR Quartile: Q3
- CiteScore: 0.6 (2020)
- SJR: 0.275 (2013
- SNIP: 0.521 (2013
- SJR Categories: Artificial Intelligence (Q3)
Effects of scale on load prediction algorithms
- Tidemann A.
- Høverstad B.
- Langseth H.
- Öztürk P.
IET Conference Publications - 1/12/2013
- SJR Categories: Electrical and Electronic Engineering
Effects of data cleansing on load prediction algorithms
- Hoverstad B.
- Tidemann A.
- Langseth H.
IEEE Symposium on Computational Intelligence Applications in Smart Grid, CIASG - 16/12/2013
- SJR Categories: Artificial Intelligence; Computational Theory and Mathematics; Computer Networks and Communications; Computer Science Applications
Learning to rank for personalised fashion recommender systems via implicit feedback
- Nguyen H.
- Almenningen T.
- Havig M.
- Schistad H.
- Kofod-Petersen A.
- Langseth H.
- Ramampiaro H.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2014
- CiteScore: 1.8 (2020)
- SJR: 0.354 (2014
- SNIP: 0.753 (2014
A new method for vertical parallelisation of TAN learning based on balanced incomplete block designs
- Madsen A.
- Jensen F.
- Salmerón A.
- Karlsen M.
- Langseth H.
- Nielsen T.
Proceedings of the 7th European Workshop on Probabilistic Graphical Models - 1/1/2014
- Category normalized Impact: 0.839 (2014)
- CiteScore: 1.8 (2020)
- SJR: 0.354 (2014
- SNIP: 0.753 (2014
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Parallelisation of the PC Algorithm
- Madsen A.
- Jensen F.
- Salmerón A.
- Langseth H.
- Nielsen T.
Advances in Artificial Intelligence - 1/1/2015
- Category normalized Impact: 0.64 (2015)
- CiteScore: 1.8 (2020)
- SJR: 0.369 (2015
- SNIP: 0.708 (2015
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Dynamic Bayesian modeling for risk prediction in credit operations
- Borchani H.
- Martínez A.
- Masegosa A.
- Langseth H.
- Nielsen T.
- Salmerón A.
- Fernández A.
- Madsen A.
- Sáez R.
The 13th Scandinavian Conference on Artificial Intelligence (SCAI'2015) - 1/1/2015
- SJR Quartile: Q3
- Category normalized Impact: 0.286 (2015)
- CiteScore: 0.6 (2020)
- SJR: 0.238 (2015
- SNIP: 0.429 (2015
- SJR Categories: Artificial Intelligence (Q3)
- Scopus
- ORCID
- Web of Science
Learning conditional distributions using mixtures of truncated basis functions
- Pérez-Bernabé I.
- Salmerón A.
- Langseth H.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2015
- Category normalized Impact: 0.293 (2015)
- CiteScore: 1.8 (2020)
- SJR: 0.369 (2015
- SNIP: 0.708 (2015
Modeling concept drift: A probabilistic graphical model based approach
- Borchani H.
- Martínez A.
- Masegosa A.
- Langseth H.
- Nielsen T.
- Salmerón A.
- Fernández A.
- Madsen A.
- Sáez R.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2015
- JCR Impact Factor: 15.491 (2022)
- Category normalized Impact: 1.609 (2015)
- CiteScore: 1.8 (2020)
- SJR: 0.369 (2015
- SNIP: 0.708 (2015
- Scopus
- ORCID
- OAI-PMH
- Web of Science
MPE inference in conditional linear gaussian networks
- Salmerón A.
- Rumí R.
- Langseth H.
- Madsen A.
- Nielsen T.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 1/1/2015
- CiteScore: 1.8 (2020)
- SJR: 0.369 (2015
- SNIP: 0.708 (2015
This author has no patents.
This author has no reports or other types of publications.
h index
Scopus: 18
Web of Science: 12
i10 index
Scopus: 33
Web of Science: 13
Author profiles
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ORCID
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Scopus Author ID
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Dialnet id
Research projects at UAL
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Acronym TIN2016-77902-C3-3-PSince: December 30, 2016Until: December 29, 2019Funded by: Ministerio de Economía, Industria y CompetitividadFunding / grant amount: 143,506.00 EURRole: Equipo de trabajo
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Acronym TIN2010-20900-C04-02Since: January 1, 2011Until: December 31, 2013Funded by: MECFunding / grant amount: 64,493.00 EURRole: Investigador