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Langseth, Helge Autor

Uncertainty bounds for a monotone multistate system

  • Langseth H.
  • Lindqvist B.

Probability in the Engineering and Informational Sciences - 1/1/1998

10.1017/s0269964800005179

Número de citas: 10 (Scopus)
  • CiteScore: 2,4 (2024)

Analysis of OREDA data for maintenance optimisation

  • Langseth H.
  • Haugen K.
  • Sandtorv H.

Reliability Engineering and System Safety - 1/1/1998

10.1016/s0951-8320(98)83003-2

Número de citas: 21 (Scopus)
  • CiteScore: 19,1 (2024)

Parameter learning in object-oriented Bayesian networks

  • Langseth H.
  • Bangsø O.

Annals of Mathematics and Artificial Intelligence - 1/12/2001

10.1023/a:1016769618900

Número de citas: 29 (Scopus)
  • Cuartil SJR: Q2
  • CiteScore: 2,8 (2024)
  • SJR: 0,747 (2001)
  • SNIP: 1,511 (2001)
  • Categorías SJR: 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.
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Artificial Intelligence for Engineering Design Analysis and Manufacturing AIEDAM - 1/9/2001

10.1017/s0890060401154065

Número de citas: 61 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 4,9 (2024)
  • SJR: 0,365 (2001)
  • SNIP: 0,885 (2001)
  • Categorías SJR: 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

10.1016/s0951-8320(02)00202-8

Número de citas: 25 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 19,1 (2024)
  • SJR: 0,414 (2003)
  • SNIP: 1,367 (2003)
  • Categorías SJR: Industrial and Manufacturing Engineering (Q1); Safety, Risk, Reliability and Quality (Q2); Applied Mathematics (Q3)
Open Access

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

10.1162/153244304773633852

Número de citas: 16 (Web of Science) 36 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 16,3 (2024)
  • SJR: 1,691 (2004)
  • SNIP: 6,48 (2004)
  • Categorías SJR: 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

Número de citas: 10 (Scopus)
  • CiteScore: 2,7 (2024)
  • Categorías SJR: Safety, Risk, Reliability and Quality
Open Access

Latent classification models

  • Langseth H.
  • Nielsen T.

Machine Learning - 1/1/2005

10.1007/s10994-005-0472-5

Número de citas: 10 (Web of Science) 13 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 8,6 (2024)
  • SJR: 2,604 (2005)
  • SNIP: 5,636 (2005)
  • Categorías SJR: Artificial Intelligence (Q1); Software (Q1)

Competing risks for repairable systems: A data study

  • Langseth H.
  • Lindqvist B.

Journal of Statistical Planning and Inference - 1/5/2006

10.1016/j.jspi.2004.10.032

Número de citas: 37 (Scopus)
  • Cuartil SJR: Q2
  • CiteScore: 2,1 (2024)
  • SJR: 0,937 (2006)
  • SNIP: 1,042 (2006)
  • Categorías SJR: Applied Mathematics (Q2); Statistics and Probability (Q2); Statistics, Probability and Uncertainty (Q2)
Open Access

Classification using Hierarchical Naïve Bayes models

  • Langseth H.
  • Nielsen T.

Machine Learning - 1/5/2006

10.1007/s10994-006-6136-2

Número de citas: 47 (Web of Science) 75 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 8,6 (2024)
  • SJR: 1,8 (2006)
  • SNIP: 4,147 (2006)
  • Categorías SJR: Artificial Intelligence (Q1); Software (Q1)

STATISTICAL MODELING AND INFERENCE FOR COMPONENT FAILURE TIMES UNDER PREVENTIVE MAINTENANCE AND INDEPENDENT CENSORING

  • Lindqvist B.H.
  • Langseth H.

Series on Quality Reliability and Engineering Statistics Vol 10 Modern Statistical and Mathematical Methods in Reliability - 1/1/2005

10.1142/9789812703378_0023

Número de citas: 3 (Scopus)

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

Número de citas: 8 (Scopus)

Bayesian networks in reliability: The good, the bad, and the ugly

  • Langseth H.

Advances in Mathematical Modeling for Reliability - 1/5/2008

Número de citas: 14 (Scopus)

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

Número de citas: 0 (Dialnet)
  • Dialnet

New Ideas in Ranking for Personalized Fashion Recommender Systems

  • Ramampiaro H.
  • Langseth H.
  • Almenningen T.
  • Schistad H.
  • Havig M.
  • Nguyen H.T.

Business and Consumer Analytics New Ideas - 1/1/2019

10.1007/978-3-030-06222-4_25

Número de citas: 2 (Scopus)

Parameter estimation in mixtures of truncated exponentials

  • Langseth H.
  • Nielsen T.
  • Rumí R.
  • Salmerón A.

Proceedings of the 4th European Workshop on Probabilistic Graphical Models Pgm 2008 - 1/12/2008

Número de citas: 3 (Scopus)
  • Categorías SJR: Statistics and Probability

Local-global-learning of naive Bayesian classifier

  • Zhong S.
  • Langseth H.

2009 4th International Conference on Innovative Computing Information and Control Icicic 2009 - 1/12/2009

10.1109/icicic.2009.254

Número de citas: 2 (Scopus)
  • Categorías SJR: Computational Theory and Mathematics; Computer Networks and Communications; Software
Open Access

Maximum Likelihood Learning of Conditional MTE Distributions

  • Langseth H.
  • Nielsen T.
  • Rumí R.
  • Salmerón A.

SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS - 27/8/2009

10.1007/978-3-642-02906-6_22

Número de citas: 10 (Web of Science) 15 (Scopus)
  • Cuartil JCR: Q2 (2009)
  • Impacto Normalizado por Categoría: 1,409 (2009)
  • CiteScore: 2,4 (2024)
  • SJR: 0,302 (2009)
  • SNIP: 0,691 (2009)
Open Access

Architectures integrating case-based reasoning and Bayesian networks for clinical decision support

  • Bruland T.
  • Aamodt A.
  • Langseth H.

IFIP Advances in Information and Communication Technology - 1/1/2010

10.1007/978-3-642-16327-2_13

Número de citas: 21 (Scopus)
  • Cuartil SJR: Q4
  • CiteScore: 1,4 (2024)
  • SJR: 0,142 (2010)
  • SNIP: 0,278 (2010)
  • Categorías SJR: Computer Networks and Communications (Q4); Information Systems (Q4); Information Systems and Management (Q4)

Towards a more expressive model for dynamic classification

  • Zhong S.
  • Martínez A.
  • Nielsen T.
  • Langseth H.

Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference Flairs 23 - 19/10/2010

Número de citas: 3 (Scopus)
  • Categorías SJR: Artificial Intelligence; Control and Systems Engineering

Parameter learning in MTE networks using incomplete data

  • Fernández A.
  • Langseth H.
  • Nielsen T.
  • Salmerón A.

Proceedings of the 5th European Workshop on Probabilistic Graphical Models Pgm 2010 - 1/12/2010

Número de citas: 4 (Scopus)
  • Categorías SJR: Statistics and Probability

Extended abstract: Combining CBR and BN using metareasoning

  • Houeland T.
  • Bruland T.
  • Aamodt A.
  • Langseth H.

Frontiers in Artificial Intelligence and Applications - 1/1/2011

10.3233/978-1-60750-754-3-189

Número de citas: 1 (Scopus)
  • Cuartil SJR: Q3
  • CiteScore: 0,7 (2024)
  • SJR: 0,246 (2011)
  • SNIP: 0,586 (2011)
  • Categorías SJR: Artificial Intelligence (Q3)

Extended abstract: A design for a tourist CF system

  • Lillegraven T.
  • Wolden A.
  • Kofod-Petersen A.
  • Langseth H.

Frontiers in Artificial Intelligence and Applications - 1/1/2011

10.3233/978-1-60750-754-3-193

Número de citas: 0 (Scopus)
  • Cuartil SJR: Q3
  • CiteScore: 0,7 (2024)
  • SJR: 0,246 (2011)
  • SNIP: 0,586 (2011)
  • Categorías SJR: Artificial Intelligence (Q3)

A hybrid CBR and BN architecture refined through data analysis

  • Bruland T.
  • Aamodt A.
  • Langseth H.

International Conference on Intelligent Systems Design and Applications Isda - 1/12/2011

10.1109/isda.2011.6121773

Número de citas: 5 (Scopus)
  • Categorías SJR: Artificial Intelligence; Computer Science Applications; Control and Systems Engineering; Signal Processing

Inference in hybrid Bayesian networks with mixtures of truncated basis functions

  • Langseth H.
  • Nielsen T.
  • Rumí R.
  • Salmerón A.

Proceedings of the 6th European Workshop on Probabilistic Graphical Models Pgm 2012 - 1/12/2012

Número de citas: 13 (Scopus)
  • Categorías SJR: Statistics and Probability

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Este autor no tiene informes ni otros tipos de publicaciones.

Scopus: 21

Web of Science: 12

Scopus: 44

Web of Science: 20

Última actualización de los datos: 28/06/25 11:32
Próxima recolección programada: 5/07/25 3:00