Langseth, Helge Autor
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.
Cephalalgia : an international journal of headache - 1/5/2024
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
- 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
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Uncertainty bounds for a monotone multistate system
- Langseth H.
- Lindqvist B.
Probability in the Engineering and Informational Sciences - 1/12/1998
- CiteScore: 1,7 (2020)
The SACSO methodology for troubleshooting complex systems
- Jensen F.
- Kjærulff U.
- Kristiansen B.
- Langseth H.
- Skaanning C.
- Vomlel J.
- Vomlelová M.
Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM - 1/9/2001
- Cuartil SJR: Q1
- CiteScore: 2,9 (2020)
- SJR: 0,365 (2001)
- SNIP: 0,885 (2001)
- Categorías SJR: Industrial and Manufacturing Engineering (Q1); Artificial Intelligence (Q3)
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
- Cuartil SJR: Q1
- Factor Impacto JCR: 3,19 (2015)
- CiteScore: 19,6 (2020)
- SJR: 3,424 (2015)
- SNIP: 3,286 (2015)
- Impacto JCR a 5 años: 5,104
- Categorías JCR: ENGINEERING, ELECTRICAL & ELECTRONIC
- Categorías SJR: Computer Science (miscellaneous) (Q1)
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
- Cuartil JCR: Q2 (2017)
- Cuartil SJR: Q1
- Factor Impacto JCR: 1,766 (2022)
- Impacto Normalizado por Categoría: 0,343 (2017)
- CiteScore: 7,1 (2020)
- SJR: 0,866 (2017)
- SNIP: 1,746 (2017)
- Impacto JCR a 5 años: 2,504
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1); Applied Mathematics (Q2)
- Scopus
- ORCID
- Web of Science
Scalable learning of probabilistic latent models for collaborative filtering
- Langseth H.
- Nielsen T.
Decision Support Systems - 1/6/2015
- Cuartil SJR: Q1
- Factor Impacto JCR: 2,604 (2015)
- CiteScore: 10,5 (2020)
- SJR: 1,87 (2015)
- SNIP: 2,284 (2015)
- Impacto JCR a 5 años: 3,271
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Arts and Humanities (miscellaneous) (Q1); Developmental and Educational Psychology (Q1); Information Systems (Q1); Information Systems and Management (Q1); Management Information Systems (Q1)
- Scopus
- ORCID
- 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
- Cuartil JCR: Q3 (2018)
- Cuartil SJR: Q2
- Factor Impacto JCR: 1,982 (2022)
- Impacto Normalizado por Categoría: 0,402 (2018)
- CiteScore: 7,1 (2020)
- SJR: 0,606 (2018)
- SNIP: 1,453 (2018)
- Impacto JCR a 5 años: 2,2
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Applied Mathematics (Q2); Artificial Intelligence (Q2); Software (Q2); Theoretical Computer Science (Q2)
- Scopus
- ORCID
- Web of Science
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
- 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
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Parameter learning in object-oriented Bayesian networks
- Langseth H.
- Bangsø O.
Annals of Mathematics and Artificial Intelligence - 1/12/2001
- Cuartil SJR: Q2
- CiteScore: 2,5 (2020)
- SJR: 0,747 (2001)
- SNIP: 1,542 (2001)
- Categorías SJR: Applied Mathematics (Q2); Artificial Intelligence (Q2)
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
- Categorías SJR: 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
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
Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs
- Salmerón A.
- Madsen A.
- Jensen F.
- Langseth H.
- Nielsen T.
- Ramos-López D.
- Martínez A.
- Masegosa A.
ECAI 2016 - 1/1/2016
- Cuartil SJR: Q3
- CiteScore: 0,6 (2020)
- SJR: 0,202 (2016)
- SNIP: 0,451 (2016)
- Categorías SJR: Artificial Intelligence (Q3)
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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
- 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)
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.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2015
- 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)
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Mixtures of truncated basis functions
- Langseth H.
- Nielsen T.
- Rumí R.
- Salmerón A.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/2/2012
- 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)
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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
- Categorías SJR: Computational Theory and Mathematics; Computer Networks and Communications; Software
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.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2014
- CiteScore: 1,8 (2020)
- SJR: 0,354 (2014)
- SNIP: 0,753 (2014)
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
- Impacto Normalizado por Categoría: 0,293 (2015)
- CiteScore: 1,8 (2020)
- SJR: 0,369 (2015)
- SNIP: 0,708 (2015)
Inter-session modeling for session-based recommendation
- Ruocco M.
- Skrede O.
- Langseth H.
ACM International Conference Proceeding Series - 27/8/2017
- Categorías SJR: Ocean Engineering
Forecasting intra-hour imbalances in electric power systems
- Salem T.S.
- Kathuria K.
- Ramampiaro H.
- Langseth H.
33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 - 1/1/2019
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Índice h
Scopus: 18
Web of Science: 12
Índice i10
Scopus: 33
Web of Science: 13
Perfiles de autor
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Proyectos de investigación en la UAL
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Acrónimo TIN2016-77902-C3-3-PDesde: 30 de diciembre de 2016Hasta: 29 de diciembre de 2019Financiado por: Ministerio de Economía, Industria y CompetitividadImporte de financiación: 143.506,00 EURRol: Equipo de trabajo
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Acrónimo TIN2010-20900-C04-02Desde: 1 de enero de 2011Hasta: 31 de diciembre de 2013Financiado por: MECImporte de financiación: 64.493,00 EURRol: Investigador