Langseth, Helge Author
Bayesian networks in reliability
- Langseth H.
- Portinale L.
Reliability Engineering and System Safety - 1/1/2007
- SJR Quartile: Q1
- CiteScore: 9.3 (2020)
- SJR: 0.74 (2007
- SNIP: 2.203 (2007
- SJR Categories: Industrial and Manufacturing Engineering (Q1); Safety, Risk, Reliability and Quality (Q1); Applied Mathematics (Q2)
Classification using Hierarchical Naïve Bayes models
- Langseth H.
- Nielsen T.
Machine Learning - 1/5/2006
- SJR Quartile: Q1
- CiteScore: 6.1 (2020)
- SJR: 1.8 (2006
- SNIP: 4.144 (2006
- SJR Categories: Artificial Intelligence (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
Competing risks for repairable systems: A data study
- Langseth H.
- Lindqvist B.
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)
Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation
- Vassøy B.
- Langseth H.
Artificial Intelligence Review - 1/4/2024
- CiteScore: 23 (2022)
- SJR: 2.49 (2022
- SNIP: 4.347 (2022
Decision theoretic troubleshooting of coherent systems
- Langseth H.
- Jensen F.
Reliability Engineering and System Safety - 1/4/2003
- SJR Quartile: Q1
- CiteScore: 9.3 (2020)
- SJR: 0.414 (2003
- SNIP: 1.307 (2003
- SJR Categories: Industrial and Manufacturing Engineering (Q1); Safety, Risk, Reliability and Quality (Q2); Applied Mathematics (Q3)
Deep Contextual Grid Triplet Network for Context-Aware Recommendation
- Sofia Aftab
- Heri Ramampiaro
- Helge Langseth
- Massimiliano Ruocco
IEEE Access - 1/1/2023
- Scopus
- ORCID
Effective hate-speech detection in Twitter data using recurrent neural networks
- Pitsilis G.
- Ramampiaro H.
- Langseth H.
APPLIED INTELLIGENCE - 1/12/2018
- SJR Quartile: Q2
- JCR Impact Factor: 2.882 (2018)
- CiteScore: 6.8 (2020)
- SJR: 0.651 (2018
- SNIP: 1.585 (2018
- JCR 5-year Impact Factor: 2.712
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q2)
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
Frontiers in Artificial Intelligence and Applications: Preface
- Kofod-Petersen A.
- Heintz F.
- Langseth H.
Frontiers in Artificial Intelligence and Applications - 1/1/2011
- SJR Quartile: Q3
- CiteScore: 0.6 (2020)
- SJR: 0.246 (2011
- SNIP: 0.583 (2011
- SJR Categories: Artificial Intelligence (Q3)
Fusion of domain knowledge with data for structural learning in object oriented domains
- Langseth H.
- Nielsen T.
Journal of Machine Learning Research - 1/4/2004
- SJR Quartile: Q1
- CiteScore: 6.8 (2020)
- SJR: 1.691 (2004
- SNIP: 6.419 (2004
- SJR Categories: Artificial Intelligence (Q1); Control and Systems Engineering (Q1); Software (Q1); Statistics and Probability (Q1)
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
- SJR Categories: 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
- SJR Categories: 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
- 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
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
- SJR Quartile: Q4
- CiteScore: 1 (2020)
- SJR: 0.142 (2010
- SNIP: 0.273 (2010
- SJR Categories: 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
- SJR Quartile: Q3
- CiteScore: 0.6 (2020)
- SJR: 0.275 (2013
- SNIP: 0.521 (2013
- SJR Categories: 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
- SJR Categories: 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
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