Helge Langseth - Google Scholar Citations

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Thomas Dyhre NielsenAalborg UniversityVerified email at cs.aau.dk
Antonio SalmerónUniversity of Almería, SpainVerified email at ual.es
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg UniversityVerified email at hugin.com
Rafael RumíAssociate Professor, University of AlmeríaVerified email at ual.es
Andres R. MasegosaUniversity of AlmeriaVerified email at ual.es
Ana M. MartínezLarge-Scale Data Specialist, VestasVerified email at vestas.com
Darío Ramos-LópezAssistant Professor, Department of Applied Mathematics, Rey Juan Carlos University, Madrid (Spain)Verified email at ual.es
Bo LindqvistNorwegian University of Science and TechnologyVerified email at ntnu.no
Luigi PortinaleProfessor of Computer Science, Universita' del Piemonte OrientaleVerified email at unipmn.it
Agnar AamodtProfessor of Computer Science, Norwegian University of Science and Technology (NTNU)Verified email at ntnu.no
Heri RamampiaroAssociate Professor, Norwegian University of Science and Technology (NTNU)Verified email at ntnu.no
Anders Kofod-PetersenThe Alexandra InstituteVerified email at alexandra.dk
Antonio FernándezSenior Data Scientist in Banking (BCC - Grupo Cajamar)Verified email at bcc.es
Hanen BorchaniSimCorp A/SVerified email at simcorp.com
Pinar ØzturkNorwegian University of Science and TechnologyVerified email at ntnu.no
Georgios K. PitsilisPhD in Computer ScienceVerified email at ntnu.no
Mary Ann LundteigenProfessor in reliability assessment at Norwegian University of Science and TechnologyVerified email at ntnu.no
Jirka VomlelInstitute of Information Theory and Automation, Academy of Sciences of the Czech RepublicVerified email at utia.cas.cz
Massimiliano Ruocco, PhDSenior Research Scientist, Telenor. Adjunct Associate Professor, NTNUVerified email at ntnu.no
Rafael CabañasIDSIA - Istituto Dalle Molle di studi sull'Intelligenza ArtificialeVerified email at idsia.ch

Helge Langseth

Norwegian University of Science and Technology

Verified email at ntnu.no - Homepage

Bayesian networks Variational Inference Machine Learning Time series analysis


Title	Cited by	Year
Bayesian networks in reliability H Langseth, L Portinale Reliability Engineering & System Safety 92 (1), 92-108, 2007	534	2007
Inference in hybrid Bayesian networks H Langseth, TD Nielsen, R Rumí, A Salmerón Reliability Engineering & System Safety 94 (10), 1499-1509, 2009	96	2009
The SACSO methodology for troubleshooting complex systems FV Jensen, U Kjærulff, B Kristiansen, H Langseth, C Skaanning, J Vomlel, ... AI EDAM 15 (4), 321-333, 2001	86	2001
Classification using hierarchical naive bayes models H Langseth, TD Nielsen Machine learning 63 (2), 135-159, 2006	81	2006
Reliability prediction method for safety instrumented systems S Hauge, P Hokstad, H Langseth, K Oien PDS method handbook, 25-27, 2006	72	2006
Mixtures of truncated basis functions H Langseth, TD Nielsen, R Rumı, A Salmerón International Journal of Approximate Reasoning 53 (2), 212-227, 2012	63	2012
Fusion of domain knowledge with data for structural learning in object oriented domains H Langseth, TD Nielsen Journal of Machine Learning Research 4 (Jul), 339-368, 2003	63	2003
A maintenance model for components exposed to several failure mechanisms and imperfect repair H Langseth, BH Lindqvist Mathematical and Statistical Methods in Reliability, 415-430, 2003	56	2003
Modelling of dependence between critical failure and preventive maintenance: The repair alert model BH Lindqvist, B Støve, H Langseth Journal of Statistical Planning and Inference 136 (5), 1701-1717, 2006	46	2006
Parameter learning in object-oriented Bayesian networks H Langseth, O Bangsø Annals of Mathematics and Artificial Intelligence 32 (1-4), 221-243, 2001	46	2001
Competing risks for repairable systems: A data study H Langseth, BH Lindqvist Journal of Statistical Planning and Inference 136 (5), 1687-1700, 2006	43	2006
A latent model for collaborative filtering H Langseth, TD Nielsen International Journal of Approximate Reasoning 53 (4), 447-466, 2012	42	2012
Decision theoretic troubleshooting of coherent systems H Langseth, FV Jensen Reliability Engineering & System Safety 80 (1), 49-62, 2003	40	2003
Bayesian networks with applications in reliability analysis H Langseth Norwegian university of Science and Technology, 2002	39	2002
Parameter estimation and model selection for mixtures of truncated exponentials H Langseth, TD Nielsen, R Rumı, A Salmerón International Journal of Approximate Reasoning 51 (5), 485-498, 2010	38	2010
Short-term load forecasting with seasonal decomposition using evolution for parameter tuning BA Høverstad, A Tidemann, H Langseth, P Öztürk IEEE transactions on smart grid 6 (4), 1904-1913, 2015	37	2015
Integrating Bayesian networks into knowledge-intensive CBR A Aamodt, H Langseth AAAI Workshop on Case-Based Reasoning Integrations, 1-6, 1998	36	1998
Detecting offensive language in tweets using deep learning GK Pitsilis, H Ramampiaro, H Langseth arXiv preprint arXiv:1801.04433, 2018	34	2018
Analysis of OREDA data for maintenance optimisation H Langseth, K Haugen, H Sandtorv Reliability Engineering & System Safety 60 (2), 103-110, 1998	32	1998
A parallel algorithm for Bayesian network structure learning from large data sets AL Madsen, F Jensen, A Salmerón, H Langseth, TD Nielsen Knowledge-Based Systems 117, 46-55, 2017	29	2017

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