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

Langseth, Helge Autor

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

Número de citas: 71 (Web of Science) 75 (Scopus)
  • Cuartil JCR: Q1 (2009)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 1,908 (2009)
  • Impacto Normalizado por Categoría: 2,242 (2009)
  • CiteScore: 9,3 (2020)
  • SJR: 1,142 (2009)
  • SNIP: 2,571 (2009)
  • Impacto JCR a 5 años: 2,305
  • Categorías JCR: ENGINEERING, INDUSTRIAL
  • Categorías SJR: 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

Número de citas: 5 (Web of Science) 4 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 2,41 (2014)
  • CiteScore: 9,3 (2020)
  • SJR: 1,419 (2014)
  • SNIP: 2,616 (2014)
  • Impacto JCR a 5 años: 2,693
  • Categorías JCR: OPERATIONS RESEARCH & MANAGEMENT SCIENCE
  • Categorías SJR: 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

Número de citas: 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

Número de citas: 436 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 9,3 (2020)
  • SJR: 0,74 (2007)
  • SNIP: 2,203 (2007)
  • Categorías SJR: 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

Número de citas: 25 (Scopus)
  • Cuartil SJR: Q1
  • CiteScore: 9,3 (2020)
  • SJR: 0,414 (2003)
  • SNIP: 1,307 (2003)
  • Categorías SJR: 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

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)
Open Access

MAP inference in dynamic hybrid Bayesian networks

  • Ramos-López D.
  • Masegosa A.
  • Martínez A.
  • Salmerón A.
  • Nielsen T.
  • Langseth H.
  • Madsen A.
... Ver más Contraer

Progress in Artificial Intelligence - 27/06/2017

10.1007/s13748-017-0115-7

Número de citas: 6 (Web of Science) 4 (Scopus)
  • Impacto Normalizado por Categoría: 0,228 (2017)
  • CiteScore: 3,4 (2020)
  • SNIP: 0,943 (2017)
  • Categorías SJR: 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

Número de citas: 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

Número de citas: 8 (Web of Science) 8 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 2,554 (2009)
  • CiteScore: 15,7 (2020)
  • SJR: 1,163 (2009)
  • SNIP: 2,837 (2009)
  • Impacto JCR a 5 años: 3,453
  • Categorías JCR: ENGINEERING, ELECTRICAL & ELECTRONIC
  • Categorías SJR: 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

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

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

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)

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

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

On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness

  • Odd Erik Gundersen
  • Saeid Shamsaliei
  • Håkon Sletten Kjærnli
  • Helge Langseth

Proceedings of the 1st ACM Conference on Reproducibility and Replicability, REP 2023 - 27/06/2023

10.1145/3589806.3600044

Número de citas:

Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders

  • Bjørnar Vassøy
  • Helge Langseth
  • Benjamin Kille

Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 - 14/09/2023

10.1145/3604915.3608842

Número de citas:

Understanding and improving recurrent networks for human activity recognition by continuous attention

  • Zeng M.
  • Gao H.
  • Yu T.
  • Mengshoel O.
  • Langseth H.
  • Lane I.
  • Liu X.
... Ver más Contraer

Proceedings - International Symposium on Wearable Computers, ISWC - 8/10/2018

10.1145/3267242.3267286

Número de citas: 54 (Scopus)
  • Categorías SJR: Computer Networks and Communications; Engineering (miscellaneous); Hardware and Architecture; Software
Open Access

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.
... Ver más Contraer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2014

10.1007/978-3-319-13817-6_6

Número de citas: 11 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,354 (2014)
  • SNIP: 0,753 (2014)
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)
Open Access

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

10.1007/978-3-319-20807-7_36

Número de citas: 2 (Web of Science) 2 (Scopus)
  • Impacto Normalizado por Categoría: 0,293 (2015)
  • CiteScore: 1,8 (2020)
  • SJR: 0,369 (2015)
  • SNIP: 0,708 (2015)
Open Access

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.
... Ver más Contraer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2015

10.1007/978-3-319-24465-5_7

Número de citas: 13 (Web of Science) 14 (Scopus)
  • Factor Impacto JCR: 15,491 (2022)
  • Impacto Normalizado por Categoría: 1,609 (2015)
  • CiteScore: 1,8 (2020)
  • SJR: 0,369 (2015)
  • SNIP: 0,708 (2015)
Open Access

Content-Based Social Recommendation with Poisson Matrix Factorization

  • da Silva E.
  • Langseth H.
  • Ramampiaro H.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2017

10.1007/978-3-319-71249-9_32

Número de citas: 9 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,295 (2017)
  • SNIP: 0,673 (2017)
Open Access

d-VMP: Distributed Variational Message Passing

  • Andres Masegosa
  • Ana M. Martinez
  • Helge Langseth
  • Thomas Dyhre Nielsen
  • Antonio Salmerón
  • Darío Ramos-López
  • Anders Læsø Madsen
... Ver más Contraer

JMLR Workshop and Conference Proceedings - 1/1/2016

Número de citas: 8 (Scopus)
  • Factor Impacto JCR: 5 (2016)
  • CiteScore: 6,8 (2020)
  • SJR: 1,29 (2016)
  • SNIP: 2,222 (2016)
  • Impacto JCR a 5 años: 7,649
  • Categorías JCR: AUTOMATION & CONTROL SYSTEMS

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