Langseth, Helge Autor
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
- 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)
- 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
- Cuartil SJR: Q1
- Factor Impacto JCR: 3,892 (2018)
- CiteScore: 8,6 (2020)
- SJR: 1,043 (2018)
- SNIP: 3,011 (2018)
- Impacto JCR a 5 años: 3,295
- Categorías JCR: INFORMATION SCIENCE & LIBRARY SCIENCE
- Categorías SJR: Computer Science Applications (Q1); Information Systems (Q1); Library and Information Sciences (Q1); Management Science and Operations Research (Q1); Media Technology (Q1)
A latent model for collaborative filtering
- Langseth H.
- Nielsen T.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/6/2012
- Cuartil SJR: Q1
- Factor Impacto JCR: 1,729 (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
- Web of Science
AMIDST: A Java toolbox for scalable probabilistic machine learning
- Masegosa A.
- Martínez A.
- Ramos-López D.
- Cabañas R.
- Salmerón A.
- Langseth H.
- Nielsen T.
- Madsen A.
Knowledge-Based Systems - 1/01/2019
- Cuartil JCR: Q1 (2019)
- Cuartil SJR: Q1
- Factor Impacto JCR: 5,921 (2022)
- Impacto Normalizado por Categoría: 0,374 (2019)
- CiteScore: 11,3 (2020)
- SJR: 1,754 (2019)
- SNIP: 2,828 (2019)
- Impacto JCR a 5 años: 6,075
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
Analysis of OREDA data for maintenance optimisation
- Langseth H.
- Haugen K.
- Sandtorv H.
Reliability Engineering and System Safety - 1/1/1998
- CiteScore: 9,3 (2020)
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
- 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
- Scopus
- ORCID
- Web of Science
A parallel algorithm for Bayesian network structure learning from large data sets
- Madsen A.
- Jensen F.
- Salmerón A.
- Langseth H.
- Nielsen T.
KNOWLEDGE-BASED SYSTEMS - 1/2/2017
- Cuartil JCR: Q1 (2017)
- Cuartil SJR: Q1
- Factor Impacto JCR: 4,396 (2022)
- Impacto Normalizado por Categoría: 2,246 (2017)
- CiteScore: 11,3 (2020)
- SJR: 1,378 (2017)
- SNIP: 2,349 (2017)
- Impacto JCR a 5 años: 4,514
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
Application of data-driven models in the analysis of marine power systems
- Swider A.
- Langseth H.
- Pedersen E.
Applied Ocean Research - 1/11/2019
- 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)
- Scopus
- ORCID
- Web of Science
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
- CiteScore: 7,6 (2022)
- SJR: 1,228 (2022)
- SNIP: 2,239 (2022)
A review of inference algorithms for hybrid Bayesian networks
- Salmerón A.
- Rumí R.
- Langseth H.
- Nielsen T.
- Madsen A.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH - 1/8/2018
- Cuartil JCR: Q3 (2018)
- Cuartil SJR: Q1
- Factor Impacto JCR: 1,82 (2022)
- Impacto Normalizado por Categoría: 0,256 (2018)
- CiteScore: 3,23 (2018)
- SJR: 0,754 (2018)
- SNIP: 2,084 (2018)
- Impacto JCR a 5 años: 2,448
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Artificial Intelligence (Q1)
- Scopus
- ORCID
- Web of Science
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
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
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
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
- Categorías SJR: Artificial Intelligence; Computer Science Applications; Control and Systems Engineering; Signal Processing
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
- Impacto Normalizado por Categoría: 0,839 (2014)
- CiteScore: 1,8 (2020)
- SJR: 0,354 (2014)
- SNIP: 0,753 (2014)
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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
- 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)
Bayesian Exploration in Deep Reinforcement Learning
- Killingberg L.
- Langseth H.
CEUR Workshop Proceedings - 1/1/2023
- CiteScore: 1,1 (2022)
- SJR: 0,202 (2022)
- SNIP: 0,223 (2022)
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
Beating the bookie: A look at statistical models for prediction of football matches
- Langseth H.
Frontiers in Artificial Intelligence and Applications - 1/12/2013
- Cuartil SJR: Q3
- CiteScore: 0,6 (2020)
- SJR: 0,275 (2013)
- SNIP: 0,521 (2013)
- Categorías SJR: Artificial Intelligence (Q3)
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
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
- CiteScore: 1,8 (2020)
- SJR: 0,295 (2017)
- SNIP: 0,673 (2017)
Data driven case base construction for prediction of success of marine operations
- Mathisen B.
- Aamodt A.
- Langseth H.
CEUR Workshop Proceedings - 1/1/2017
- CiteScore: 0,8 (2020)
- SJR: 0,167 (2017)
- SNIP: 0,346 (2017)
- Categorías SJR: Computer Science (miscellaneous)
Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches
- Tiwari, Shweta
- Bell, Gavin
- Langseth, Helge
- Ramampiaro, Heri
- Rocha, AP
- Steels, L
- VandenHerik, J
ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3 - 2022
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Este autor no tiene informes ni otros tipos de publicaciones.
Índice h
Scopus: 18
Web of Science: 12
Índice i10
Scopus: 33
Web of Science: 13
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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