Langseth, Helge Author
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
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
- 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)
Maximum Likelihood Learning of Conditional MTE Distributions
- Langseth H.
- Nielsen T.
- Rumí R.
- Salmerón A.
Lecture Notes in Computer Science - 27/8/2009
- JCR Quartile: Q2 (2009)
- Category normalized Impact: 1.409 (2009)
- CiteScore: 1.8 (2020)
- SJR: 0.302 (2009
- SNIP: 0.586 (2009
- Scopus
- ORCID
- Web of Science
MAP inference in dynamic hybrid Bayesian networks
- Ramos-López D.
- Masegosa A.
- Martínez A.
- Salmerón A.
- Nielsen T.
- Langseth H.
- Madsen A.
Progress in Artificial Intelligence - 27/06/2017
- Category normalized Impact: 0.228 (2017)
- CiteScore: 3.4 (2020)
- SNIP: 0.943 (2017
- SJR Categories: Artificial Intelligence
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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
Learning similarity measures from data
- Mathisen B.
- Aamodt A.
- Bach K.
- Langseth H.
Progress in Artificial Intelligence - 1/1/2019
- SJR Quartile: Q2
- CiteScore: 3.4 (2020)
- SJR: 0.322 (2020
- SNIP: 0.746 (2020
- SJR Categories: Artificial Intelligence (Q2)
- 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
Latent Classification Models for Binary Data
- Langseth H.
- Nielsen T.
Pattern Recognition - 1/11/2009
- 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)
- Scopus
- ORCID
- Web of Science
Latent classification models
- Langseth H.
- Nielsen T.
Machine Learning - 1/6/2005
- SJR Quartile: Q1
- CiteScore: 6.1 (2020)
- SJR: 2.604 (2005
- SNIP: 5.656 (2005
- SJR Categories: Artificial Intelligence (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
Inference in hybrid Bayesian networks
- Langseth H.
- Nielsen T.
- Rumí R.
- Salmerón A.
RELIABILITY ENGINEERING and SYSTEM SAFETY - 1/10/2009
- 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)
- Scopus
- ORCID
- Web of Science
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
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
Bayesian networks in reliability: The good, the bad, and the ugly
- Langseth H.
Advances in Mathematical Modeling for Reliability - 1/5/2008
Understanding and improving recurrent networks for human activity recognition by continuous attention
Proceedings - International Symposium on Wearable Computers, ISWC - 8/10/2018
- SJR Categories: Computer Networks and Communications; Engineering (miscellaneous); Hardware and Architecture; Software
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
- SJR Categories: Artificial Intelligence; Control and Systems Engineering
- Scopus
- ORCID
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
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
- Scopus
- ORCID
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)
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
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
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
Parallelisation of the PC Algorithm
- Madsen A.
- Jensen F.
- Salmerón A.
- Langseth H.
- Nielsen T.
Advances in Artificial Intelligence - 1/1/2015
- Category normalized Impact: 0.64 (2015)
- CiteScore: 1.8 (2020)
- SJR: 0.369 (2015
- SNIP: 0.708 (2015
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Parallel importance sampling in conditional linear Gaussian networks
- Salmerón A.
- Ramos-López D.
- Borchani H.
- Martínez A.
- Masegosa A.
- Fernández A.
- Langseth H.
- Madsen A.
- Nielsen T.
Advances in Artificial Intelligence - 1/1/2015
- Category normalized Impact: 0.767 (2015)
- CiteScore: 1.8 (2020)
- SJR: 0.369 (2015
- SNIP: 0.708 (2015
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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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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