Langseth, Helge Author
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
- CiteScore: 0.8 (2020)
- SJR Categories: Safety, Risk, Reliability and Quality
A latent model for collaborative filtering
- Langseth H.
- Nielsen T.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/6/2012
- SJR Quartile: Q1
- JCR Impact Factor: 1.729 (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)
- Scopus
- ORCID
- Web of Science
Parameter Estimation and Model Selection for Mixtures of Truncated Exponentials
- Antonio Salmerón Cerdán
- Rafael Rumí Rodríguez
- Thomas D. Nielsen
- Helge Langseth
International Journal of Approximate Reasoning - 1/06/2010
- JCR Quartile: Q2 (2010)
- SJR Quartile: Q1
- JCR Impact Factor: 1.684 (2010)
- Category normalized Impact: 0.66 (2010)
- CiteScore: 7.1 (2020)
- SJR: 1.329 (2010
- SNIP: 1.971 (2010
- JCR 5-year Impact Factor: 1.72
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
- Dialnet
- Scopus
- ORCID
- Web of Science
Learning Mixtures of Truncated Basis Functions from Data
- Langseth H.
- Nielsen T.
- Pérez-Bernabé I.
- Salmerón A.
International Journal of Approximate Reasoning - 1/1/2014
- JCR Quartile: Q1 (2014)
- SJR Quartile: Q1
- JCR Impact Factor: 2.451 (2022)
- Category normalized Impact: 0.81 (2014)
- CiteScore: 7.1 (2020)
- SJR: 1.46 (2014
- SNIP: 2.845 (2014
- JCR 5-year Impact Factor: 2.51
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
- Scopus
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks
- Ramos-López D.
- Masegosa A.
- Salmerón A.
- Rumí R.
- Langseth H.
- Nielsen T.
- Madsen A.
International Journal of Approximate Reasoning - 1/09/2018
- JCR Quartile: Q3 (2018)
- SJR Quartile: Q2
- JCR Impact Factor: 1.982 (2022)
- Category normalized Impact: 0.402 (2018)
- CiteScore: 7.1 (2020)
- SJR: 0.606 (2018
- SNIP: 1.453 (2018
- JCR 5-year Impact Factor: 2.2
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q2); Artificial Intelligence (Q2); Software (Q2); Theoretical Computer Science (Q2)
- Scopus
- ORCID
- Web of Science
Scaling up Bayesian variational inference using distributed computing clusters
- Masegosa A.
- Martinez A.
- Langseth H.
- Nielsen T.
- Salmerón A.
- Ramos-López D.
- Madsen A.
International Journal of Approximate Reasoning - 1/09/2017
- JCR Quartile: Q2 (2017)
- SJR Quartile: Q1
- JCR Impact Factor: 1.766 (2022)
- Category normalized Impact: 0.343 (2017)
- CiteScore: 7.1 (2020)
- SJR: 0.866 (2017
- SNIP: 1.746 (2017
- JCR 5-year Impact Factor: 2.504
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1); Applied Mathematics (Q2)
- Scopus
- ORCID
- Web of Science
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
- JCR Quartile: Q4 (2020)
- JCR Impact Factor: 0.86 (2022)
- Category normalized Impact: 0.379 (2020)
- CiteScore: 1.7 (2020)
- SJR: 0.231 (2020
- SNIP: 0.527 (2020
- JCR 5-year Impact Factor: 0.894
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Scopus
- ORCID
- Web of Science
A deep network model for paraphrase detection in short text messages
- Agarwal B.
- Ramampiaro H.
- Langseth H.
- Ruocco M.
INFORMATION PROCESSING and MANAGEMENT - 1/11/2018
- SJR Quartile: Q1
- JCR Impact Factor: 3.892 (2018)
- CiteScore: 8.6 (2020)
- SJR: 1.043 (2018
- SNIP: 3.011 (2018
- JCR 5-year Impact Factor: 3.295
- JCR Categories: INFORMATION SCIENCE & LIBRARY SCIENCE
- SJR Categories: Computer Science Applications (Q1); Information Systems (Q1); Library and Information Sciences (Q1); Management Science and Operations Research (Q1); Media Technology (Q1)
Short-Term Load Forecasting With Seasonal Decomposition Using Evolution for Parameter Tuning
- Hoverstad B.
- Tidemann A.
- Langseth H.
- Ozturk P.
IEEE Transactions on Smart Grid - 1/7/2015
- SJR Quartile: Q1
- JCR Impact Factor: 3.19 (2015)
- CiteScore: 19.6 (2020)
- SJR: 3.424 (2015
- SNIP: 3.286 (2015
- JCR 5-year Impact Factor: 5.104
- JCR Categories: ENGINEERING, ELECTRICAL & ELECTRONIC
- SJR Categories: Computer Science (miscellaneous) (Q1)
Machine Learning in Financial Market Surveillance: A Survey
- Tiwari S.
- Ramampiaro H.
- Langseth H.
IEEE Access - 1/1/2021
- JCR Impact Factor: 3.476 (2021)
- JCR 5-year Impact Factor: 3.758
- JCR Categories: COMPUTER SCIENCE, INFORMATION SYSTEMS
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
- SJR Categories: Statistics and Probability
- Scopus
- ORCID
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
Bayesian networks in reliability: The good, the bad, and the ugly
- Langseth H.
Advances in Mathematical Modeling for Reliability - 1/5/2008
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
- Dialnet
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
- 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.
The 13th Scandinavian Conference on Artificial Intelligence (SCAI'2015) - 1/1/2015
- 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)
- Scopus
- ORCID
- Web of Science
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
- 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
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
- SJR Categories: Engineering (miscellaneous)
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
- SJR Categories: Statistics and Probability
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.
Proceedings of the Eighth International Conference on Probabilistic Graphical Models - 1/1/2016
- 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
- Scopus
- ORCID
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
- Category normalized Impact: 0.839 (2014)
- CiteScore: 1.8 (2020)
- SJR: 0.354 (2014
- SNIP: 0.753 (2014
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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
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
- Scopus
- ORCID
This author has no patents.
This author has no reports or other types of publications.
h index
Scopus: 18
Web of Science: 12
i10 index
Scopus: 33
Web of Science: 13
Author profiles
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ORCID
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Scopus Author ID
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Dialnet id
Research projects at UAL
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Acronym TIN2016-77902-C3-3-PSince: December 30, 2016Until: December 29, 2019Funded by: Ministerio de Economía, Industria y CompetitividadFunding / grant amount: 143,506.00 EURRole: Equipo de trabajo
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Acronym TIN2010-20900-C04-02Since: January 1, 2011Until: December 31, 2013Funded by: MECFunding / grant amount: 64,493.00 EURRole: Investigador