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Langseth, Helge Autor

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

Número de citas: 21 (Web of Science) 15 (Scopus)
  • Cuartil SJR: Q2
  • CiteScore: 3,4 (2020)
  • SJR: 0,322 (2020)
  • SNIP: 0,746 (2020)
  • Categorías SJR: Artificial Intelligence (Q2)

Application of data-driven models in the analysis of marine power systems

  • Swider A.
  • Langseth H.
  • Pedersen E.

Applied Ocean Research - 1/11/2019

10.1016/j.apor.2019.101934

Número de citas: 4 (Web of Science) 3 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 2,753 (2019)
  • CiteScore: 4,5 (2020)
  • SJR: 1,288 (2019)
  • SNIP: 2,113 (2019)
  • Impacto JCR a 5 años: 2,935
  • Categorías JCR: ENGINEERING, OCEAN
  • Categorías SJR: Ocean Engineering (Q1)

Analyzing concept drift: A case study in the financial sector

  • Masegosa A.R.
  • Martínez A.M.
  • Ramos-López D.
  • Langseth H.
  • Nielsen T.D.
  • Salmerón A.

Intelligent Data Analysis - 21/05/2020

10.3233/ida-194515

Número de citas: 7 (Web of Science) 1 (Scopus)
  • Cuartil JCR: Q4 (2020)
  • Factor Impacto JCR: 0,86 (2022)
  • Impacto Normalizado por Categoría: 0,379 (2020)
  • CiteScore: 1,7 (2020)
  • SJR: 0,231 (2020)
  • SNIP: 0,527 (2020)
  • Impacto JCR a 5 años: 0,894
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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

Número de citas: 8 (Web of Science) 2 (Scopus)
  • Cuartil JCR: Q1 (2020)
  • Factor Impacto JCR: 2,258 (2022)
  • Impacto Normalizado por Categoría: 2,467 (2020)
  • Impacto JCR a 5 años: 2,165
  • Categorías JCR: MATHEMATICS
Open Access

Probabilistic Models with Deep Neural Networks

  • Andrés R. Masegosa
  • Rafael Cabañas De Paz
  • Helge Langseth
  • Thomas Dyhre Nielsen
  • Antonio Salmerón Cerdán

Entropy - 1/01/2021

10.3390/e23010117

Número de citas: 4 (Web of Science)
  • Cuartil JCR: Q2 (2021)
  • Factor Impacto JCR: 2,738 (2022)
  • Impacto Normalizado por Categoría: 0,156 (2021)
  • CiteScore: 4 (2020)
  • SJR: 0,468 (2020)
  • SNIP: 1,059 (2020)
  • Impacto JCR a 5 años: 2,642
  • Categorías JCR: PHYSICS, MULTIDISCIPLINARY

Machine Learning in Financial Market Surveillance: A Survey

  • Tiwari S.
  • Ramampiaro H.
  • Langseth H.

IEEE Access - 1/1/2021

10.1109/access.2021.3130843

Número de citas:
  • Factor Impacto JCR: 3,476 (2021)
  • Impacto JCR a 5 años: 3,758
  • Categorías JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS

Deep Contextual Grid Triplet Network for Context-Aware Recommendation

  • Sofia Aftab
  • Heri Ramampiaro
  • Helge Langseth
  • Massimiliano Ruocco

IEEE Access - 1/1/2023

10.1109/access.2023.3310470

Número de citas:

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

Número de citas:
  • CiteScore: 7,6 (2022)
  • SJR: 1,228 (2022)
  • SNIP: 2,239 (2022)
Open Access

Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation

  • Vassøy B.
  • Langseth H.

Artificial Intelligence Review - 1/4/2024

10.1007/s10462-023-10663-5

Número de citas:
  • CiteScore: 23 (2022)
  • SJR: 2,49 (2022)
  • SNIP: 4,347 (2022)
Open Access

What predicts citation counts and translational impact in headache research? A machine learning analysis

  • Danelakis A.
  • Langseth H.
  • Nachev P.
  • Nelson A.
  • Bjørk M.H.
  • Matharu M.S.
  • Tronvik E.
  • May A.
  • Stubberud A.
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Cephalalgia : an international journal of headache - 1/5/2024

10.1177/03331024241251488

Número de citas:

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: 7 (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)

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

Número de citas: 11 (Scopus)
  • Categorías SJR: Statistics and Probability

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:
  • Dialnet
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

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

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: 17 (Scopus)
  • Cuartil SJR: Q4
  • CiteScore: 1 (2020)
  • SJR: 0,142 (2010)
  • SNIP: 0,273 (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
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

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: 0,6 (2020)
  • SJR: 0,246 (2011)
  • SNIP: 0,583 (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:
  • Cuartil SJR: Q3
  • CiteScore: 0,6 (2020)
  • SJR: 0,246 (2011)
  • SNIP: 0,583 (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: 4 (Scopus)
  • Categorías SJR: Artificial Intelligence; Computer Science Applications; Control and Systems Engineering; Signal Processing
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

Número de citas: 56 (Web of Science) 55 (Scopus)
  • Cuartil JCR: Q2 (2012)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 1,729 (2012)
  • Impacto Normalizado por Categoría: 1,763 (2012)
  • CiteScore: 7,1 (2020)
  • SJR: 1,494 (2012)
  • SNIP: 2,132 (2012)
  • Impacto JCR a 5 años: 2,165
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Open Access

Fast approximate inference in hybrid Bayesian networks using dynamic discretisation

  • Langseth H.
  • Marquez D.
  • Neil M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 23/10/2013

10.1007/978-3-642-38637-4_23

Número de citas: 2 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,36 (2013)
  • SNIP: 0,775 (2013)

Este autor no tiene patentes.

Este autor no tiene informes ni otros tipos de publicaciones.

Scopus: 18

Web of Science: 12

Scopus: 33

Web of Science: 13

Última actualización de los datos: 18/05/24 9:32
Próxima recolección programada: 25/05/24 3:00