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Langseth, Helge Author

Applying Bayesian optimization to predict parameters in a time-domain model for cross-flow vortex-induced vibrations

  • Andersen M.L.
  • Sævik S.
  • Wu J.
  • Leira B.J.
  • Langseth H.

Marine Structures - 1/3/2024

10.1016/j.marstruc.2023.103571

Cite count:
  • CiteScore: 7.6 (2022)
  • SJR: 1.228 (2022
  • SNIP: 2.239 (2022

Classification using Hierarchical Naïve Bayes models

  • Langseth H.
  • Nielsen T.

Machine Learning - 1/5/2006

10.1007/s10994-006-6136-2

Cite count: 47 (Web of Science) 62 (Scopus)
  • SJR Quartile: Q1
  • CiteScore: 6.1 (2020)
  • SJR: 1.8 (2006
  • SNIP: 4.144 (2006
  • SJR Categories: Artificial Intelligence (Q1); Software (Q1)

Latent classification models

  • Langseth H.
  • Nielsen T.

Machine Learning - 1/6/2005

10.1007/s10994-005-0472-5

Cite count: 10 (Web of Science) 13 (Scopus)
  • SJR Quartile: Q1
  • CiteScore: 6.1 (2020)
  • SJR: 2.604 (2005
  • SNIP: 5.656 (2005
  • SJR Categories: Artificial Intelligence (Q1); Software (Q1)
Open Access

Maximum Likelihood Learning of Conditional MTE Distributions

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

Lecture Notes in Computer Science - 27/8/2009

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

Cite count: 9 (Web of Science) 14 (Scopus)
  • JCR Quartile: Q2 (2009)
  • Category normalized Impact: 1.409 (2009)
  • CiteScore: 1.8 (2020)
  • SJR: 0.302 (2009
  • SNIP: 0.586 (2009

A parallel algorithm for Bayesian network structure learning from large data sets

  • Madsen A.
  • Jensen F.
  • Salmerón A.
  • Langseth H.
  • Nielsen T.

KNOWLEDGE-BASED SYSTEMS - 1/2/2017

10.1016/j.knosys.2016.07.031

Cite count: 62 (Web of Science) 50 (Scopus)
  • JCR Quartile: Q1 (2017)
  • SJR Quartile: Q1
  • JCR Impact Factor: 4.396 (2022)
  • Category normalized Impact: 2.246 (2017)
  • CiteScore: 11.3 (2020)
  • SJR: 1.378 (2017
  • SNIP: 2.349 (2017
  • JCR 5-year Impact Factor: 4.514
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)

AMIDST: A Java toolbox for scalable probabilistic machine learning

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

Knowledge-Based Systems - 1/01/2019

10.1016/j.knosys.2018.09.019

Cite count: 7 (Web of Science) 7 (Scopus)
  • JCR Quartile: Q1 (2019)
  • SJR Quartile: Q1
  • JCR Impact Factor: 5.921 (2022)
  • Category normalized Impact: 0.374 (2019)
  • CiteScore: 11.3 (2020)
  • SJR: 1.754 (2019
  • SNIP: 2.828 (2019
  • JCR 5-year Impact Factor: 6.075
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (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

Cite count: 33 (Scopus)
  • 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)

Modelling of dependence between critical failure and preventive maintenance: The repair alert model

  • Lindqvist B.
  • Støve B.
  • Langseth H.

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

10.1016/j.jspi.2004.10.033

Cite count: 22 (Scopus)
  • 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)
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

Cite count: 16 (Web of Science) 32 (Scopus)
  • 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)
Open Access

A review of inference algorithms for hybrid Bayesian networks

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

JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH - 1/8/2018

10.1613/jair.1.11228

Cite count: 17 (Web of Science) 16 (Scopus)
  • JCR Quartile: Q3 (2018)
  • SJR Quartile: Q1
  • JCR Impact Factor: 1.82 (2022)
  • Category normalized Impact: 0.256 (2018)
  • CiteScore: 3.23 (2018)
  • SJR: 0.754 (2018
  • SNIP: 2.084 (2018
  • JCR 5-year Impact Factor: 2.448
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Artificial Intelligence (Q1)

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

Parameter learning in MTE networks using incomplete data

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

The Fifth European Workshop on Probabilistic Graphical Models, Helsinki, Finland, 12/09/2010 - 1/12/2010

Cite count: 4 (Scopus)
  • SJR Categories: Statistics and Probability

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.
... View more Collapse

The 13th Scandinavian Conference on Artificial Intelligence (SCAI'2015) - 1/1/2015

10.3233/978-1-61499-589-0-17

Cite count: 4 (Web of Science) 4 (Scopus)
  • 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)
Open Access

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

10.1007/978-3-319-20807-7_37

Cite count: 4 (Scopus)
  • CiteScore: 1.8 (2020)
  • SJR: 0.369 (2015
  • SNIP: 0.708 (2015

Comparative study of event prediction in power grids using supervised machine learning methods

  • Hoiem K.W.
  • Santi V.
  • Torsater B.N.
  • Langseth H.
  • Andresen C.A.
  • Rosenlund G.H.

SEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies - 1/9/2020

10.1109/sest48500.2020.9203025

Cite count: 2 (Scopus)

Probability-based approach for predicting e-commerce consumer behaviour using sparse session data

  • Myklatun Ø.
  • Thorrud T.
  • Nguyen H.
  • Langseth H.
  • Kofod-Petersen A.

Proceedings of the International ACM Recommender Systems Challenge 2015 - 16/9/2015

10.1145/2813448.2813514

Cite count:
  • SJR Categories: Engineering (miscellaneous)
Open Access

Parameter estimation in mixtures of truncated exponentials

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

Proceedings of the Fourth European Workshop on Probabilistic Graphical Models - 1/12/2008

Cite count: 3 (Scopus)
  • SJR Categories: Statistics and Probability
Open Access

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

  • Ramos-L pez D.o.
  • Salmer n A.
  • Rum R.
  • Mart nez A.M.
  • Nielsen T.D.
  • Masegosa A.R.
  • Langseth H.
  • Madsen A.L.
... View more Collapse

Proceedings of the Eighth International Conference on Probabilistic Graphical Models - 1/1/2016

Cite count:
  • JCR Impact Factor: 5 (2016)
  • CiteScore: 6.8 (2020)
  • SJR: 1.29 (2016
  • SNIP: 2.222 (2016
  • JCR 5-year Impact Factor: 7.649
  • JCR Categories: AUTOMATION & CONTROL SYSTEMS
Open Access

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

10.1007/978-3-319-11433-0_20

Cite count: 9 (Web of Science) 10 (Scopus)
  • Category normalized Impact: 0.839 (2014)
  • CiteScore: 1.8 (2020)
  • SJR: 0.354 (2014
  • SNIP: 0.753 (2014

Prediction intervals: Split normal mixture from quality-driven deep ensembles

  • Salem T.S.
  • Langseth H.
  • Ramampiaro H.

Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence, UAI 2020 - 1/1/2020

Cite count: 1 (Scopus)

Bayesian models of data streams with Hierarchical Power Priors

  • Masegosa A.
  • Nielsen T.
  • Langseth H.
  • Ramos-López D.
  • Salmerón A.
  • Madsen A.

Proceedings of the 34th International Conference on Machine Learning - 1/1/2017

Cite count: 2 (Scopus)

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