RDF/XML JSON-LD N3/Turtle RDF/JSON

Langseth, Helge Author

Inference in hybrid Bayesian networks

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

RELIABILITY ENGINEERING and SYSTEM SAFETY - 1/10/2009

10.1016/j.ress.2009.02.027

Cite count: 71 (Web of Science) 75 (Scopus)
  • JCR Quartile: Q1 (2009)
  • SJR Quartile: Q1
  • JCR Impact Factor: 1.908 (2009)
  • Category normalized Impact: 2.242 (2009)
  • CiteScore: 9.3 (2020)
  • SJR: 1.142 (2009
  • SNIP: 2.571 (2009
  • JCR 5-year Impact Factor: 2.305
  • JCR Categories: ENGINEERING, INDUSTRIAL
  • SJR Categories: Applied Mathematics (Q1); Industrial and Manufacturing Engineering (Q1); Safety, Risk, Reliability and Quality (Q1)

A classification-based approach to monitoring the safety of dynamic systems

  • Zhong, Shengtong
  • Langseth, Helge
  • Nielsen, Thomas Dyhre

RELIABILITY ENGINEERING and SYSTEM SAFETY - 1/01/2014

10.1016/j.ress.2013.07.016

Cite count: 5 (Web of Science) 4 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 2.41 (2014)
  • CiteScore: 9.3 (2020)
  • SJR: 1.419 (2014
  • SNIP: 2.616 (2014
  • JCR 5-year Impact Factor: 2.693
  • JCR Categories: OPERATIONS RESEARCH & MANAGEMENT SCIENCE
  • SJR Categories: Applied Mathematics (Q1); Industrial and Manufacturing Engineering (Q1); Safety, Risk, Reliability and Quality (Q1)

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

Cite count: 18 (Scopus)
  • CiteScore: 9.3 (2020)

Bayesian networks in reliability

  • Langseth H.
  • Portinale L.

Reliability Engineering and System Safety - 1/1/2007

10.1016/j.ress.2005.11.037

Cite count: 436 (Scopus)
  • SJR Quartile: Q1
  • CiteScore: 9.3 (2020)
  • SJR: 0.74 (2007
  • SNIP: 2.203 (2007
  • SJR Categories: Industrial and Manufacturing Engineering (Q1); Safety, Risk, Reliability and Quality (Q1); Applied Mathematics (Q2)

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

Cite count: 25 (Scopus)
  • 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)

Learning similarity measures from data

  • Mathisen B.
  • Aamodt A.
  • Bach K.
  • Langseth H.

Progress in Artificial Intelligence - 1/1/2019

10.1007/s13748-019-00201-2

Cite count: 21 (Web of Science) 15 (Scopus)
  • SJR Quartile: Q2
  • CiteScore: 3.4 (2020)
  • SJR: 0.322 (2020
  • SNIP: 0.746 (2020
  • SJR Categories: Artificial Intelligence (Q2)
Open Access

MAP inference in dynamic hybrid Bayesian networks

  • Ramos-López D.
  • Masegosa A.
  • Martínez A.
  • Salmerón A.
  • Nielsen T.
  • Langseth H.
  • Madsen A.
... View more Collapse

Progress in Artificial Intelligence - 27/06/2017

10.1007/s13748-017-0115-7

Cite count: 6 (Web of Science) 4 (Scopus)
  • Category normalized Impact: 0.228 (2017)
  • CiteScore: 3.4 (2020)
  • SNIP: 0.943 (2017
  • SJR Categories: Artificial Intelligence

Uncertainty bounds for a monotone multistate system

  • Langseth H.
  • Lindqvist B.

Probability in the Engineering and Informational Sciences - 1/12/1998

10.1017/s0269964800005179

Cite count: 10 (Scopus)
  • CiteScore: 1.7 (2020)

Latent Classification Models for Binary Data

  • Langseth H.
  • Nielsen T.

Pattern Recognition - 1/11/2009

10.1016/j.patcog.2009.05.002

Cite count: 8 (Web of Science) 8 (Scopus)
  • SJR Quartile: Q1
  • JCR Impact Factor: 2.554 (2009)
  • CiteScore: 15.7 (2020)
  • SJR: 1.163 (2009
  • SNIP: 2.837 (2009
  • JCR 5-year Impact Factor: 3.453
  • JCR Categories: ENGINEERING, ELECTRICAL & ELECTRONIC
  • SJR Categories: Artificial Intelligence (Q1); Computer Vision and Pattern Recognition (Q1); Signal Processing (Q1); Software (Q1)
Open Access

Variational Inference over Nonstationary Data Streams for Exponential Family Models

  • Andrés R. Masegosa
  • Darío Ramos-López
  • Antonio Salmerón
  • Helge Langseth
  • Thomas D. Nielsen

Mathematics - 3/11/2020

10.3390/math8111942

Cite count: 8 (Web of Science) 2 (Scopus)
  • JCR Quartile: Q1 (2020)
  • JCR Impact Factor: 2.258 (2022)
  • Category normalized Impact: 2.467 (2020)
  • JCR 5-year Impact Factor: 2.165
  • JCR Categories: MATHEMATICS

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

Cite count: 11 (Scopus)
  • SJR Categories: Statistics and Probability

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

Cite count: 7 (Scopus)

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

  • Langseth H.

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

Cite count: 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

Cite count:
  • Dialnet
Open Access

Mixtures of truncated basis functions

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

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/2/2012

10.1016/j.ijar.2011.10.004

Cite count: 56 (Web of Science) 55 (Scopus)
  • JCR Quartile: Q2 (2012)
  • SJR Quartile: Q1
  • JCR Impact Factor: 1.729 (2012)
  • Category normalized Impact: 1.763 (2012)
  • CiteScore: 7.1 (2020)
  • SJR: 1.494 (2012
  • SNIP: 2.132 (2012
  • JCR 5-year Impact Factor: 2.165
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)

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

Cite count: 4 (Scopus)
  • SJR Categories: Artificial Intelligence; Computer Science Applications; Control and Systems Engineering; Signal Processing
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

Cite count: 17 (Scopus)
  • SJR Quartile: Q4
  • CiteScore: 1 (2020)
  • SJR: 0.142 (2010
  • SNIP: 0.273 (2010
  • SJR Categories: Computer Networks and Communications (Q4); Information Systems (Q4); Information Systems and Management (Q4)

Effects of scale on load prediction algorithms

  • Tidemann A.
  • Høverstad B.
  • Langseth H.
  • Öztürk P.

IET Conference Publications - 1/12/2013

10.1049/cp.2013.1116

Cite count: 7 (Scopus)
  • 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

10.1109/ciasg.2013.6611504

Cite count: 11 (Scopus)
  • SJR Categories: Artificial Intelligence; Computational Theory and Mathematics; Computer Networks and Communications; Computer Science Applications

Financial Data Analysis with PGMs Using AMIDST

  • Cabanas R.
  • Martinez A.
  • Masegosa A.
  • Ramos-Lopez D.
  • Sameron A.
  • Nielsen T.
  • Langseth H.
  • Madsen A.
... View more Collapse

IEEE International Conference on Data Mining Workshops, ICDMW - 30/01/2017

10.1109/icdmw.2016.0185

Cite count: 4 (Web of Science) 4 (Scopus)
  • Category normalized Impact: 0.586 (2017)
  • SJR Categories: Computer Science Applications; Software

Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches

  • Tiwari, Shweta
  • Bell, Gavin
  • Langseth, Helge
  • Ramampiaro, Heri
  • Rocha, AP
  • Steels, L
  • VandenHerik, J
... View more Collapse

ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3 - 2022

10.5220/0010991800003116

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

Cite count: 1 (Scopus)
  • SJR Quartile: Q3
  • CiteScore: 0.6 (2020)
  • SJR: 0.246 (2011
  • SNIP: 0.583 (2011
  • SJR Categories: Artificial Intelligence (Q3)

Beating the bookie: A look at statistical models for prediction of football matches

  • Langseth H.

Frontiers in Artificial Intelligence and Applications - 1/12/2013

10.3233/978-1-61499-330-8-165

Cite count: 5 (Scopus)
  • SJR Quartile: Q3
  • CiteScore: 0.6 (2020)
  • SJR: 0.275 (2013
  • SNIP: 0.521 (2013
  • SJR Categories: 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

Cite count:
  • SJR Quartile: Q3
  • CiteScore: 0.6 (2020)
  • SJR: 0.246 (2011
  • SNIP: 0.583 (2011
  • SJR Categories: Artificial Intelligence (Q3)

This author has no patents.

This author has no reports or other types of publications.

Scopus: 18

Web of Science: 12

Scopus: 33

Web of Science: 13

Last data update: 5/18/24 9:32 AM
Next scheduled update: 5/25/24 3:00 AM