Langseth, Helge Autor
Competing risks for repairable systems: A data study
- Langseth H.
- Lindqvist B.
Journal of Statistical Planning and Inference - 1/5/2006
- Cuartil SJR: Q2
- CiteScore: 1,4 (2020)
- SJR: 0,937 (2006)
- SNIP: 1,051 (2006)
- Categorías SJR: Applied Mathematics (Q2); Statistics and Probability (Q2); Statistics, Probability and Uncertainty (Q2)
Classification using Hierarchical Naïve Bayes models
- Langseth H.
- Nielsen T.
Machine Learning - 1/5/2006
- Cuartil SJR: Q1
- CiteScore: 6,1 (2020)
- SJR: 1,8 (2006)
- SNIP: 4,144 (2006)
- Categorías SJR: Artificial Intelligence (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
Latent classification models
- Langseth H.
- Nielsen T.
Machine Learning - 1/6/2005
- Cuartil SJR: Q1
- CiteScore: 6,1 (2020)
- SJR: 2,604 (2005)
- SNIP: 5,656 (2005)
- Categorías SJR: Artificial Intelligence (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
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)
- Categorías SJR: Safety, Risk, Reliability and Quality
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
- Cuartil SJR: Q1
- CiteScore: 6,8 (2020)
- SJR: 1,691 (2004)
- SNIP: 6,419 (2004)
- Categorías SJR: Artificial Intelligence (Q1); Control and Systems Engineering (Q1); Software (Q1); Statistics and Probability (Q1)
Decision theoretic troubleshooting of coherent systems
- Langseth H.
- Jensen F.
Reliability Engineering and System Safety - 1/4/2003
- Cuartil SJR: Q1
- CiteScore: 9,3 (2020)
- SJR: 0,414 (2003)
- SNIP: 1,307 (2003)
- Categorías SJR: Industrial and Manufacturing Engineering (Q1); Safety, Risk, Reliability and Quality (Q2); Applied Mathematics (Q3)
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)
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)
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)
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)
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
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)
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
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
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
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
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
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
Understanding and improving recurrent networks for human activity recognition by continuous attention
Proceedings - International Symposium on Wearable Computers, ISWC - 8/10/2018
- Categorías SJR: Computer Networks and Communications; Engineering (miscellaneous); Hardware and Architecture; Software
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
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)
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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