Helge Langseth
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Bayesian networks in reliability
H Langseth, L Portinale
Reliability Engineering & System Safety 92 (1), 92-108, 2007
Inference in hybrid Bayesian networks
H Langseth, TD Nielsen, R Rumí, A Salmerón
Reliability Engineering & System Safety 94 (10), 1499-1509, 2009
Classification using hierarchical naive bayes models
H Langseth, TD Nielsen
Machine learning 63 (2), 135-159, 2006
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
Mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 53 (2), 212-227, 2012
Reliability prediction method for safety instrumented systems
S Hauge, P Hokstad, H Langseth, K Oien
PDS method handbook, 25-27, 2006
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
Detecting offensive language in tweets using deep learning
GK Pitsilis, H Ramampiaro, H Langseth
arXiv preprint arXiv:1801.04433, 2018
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
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
Parameter learning in object-oriented Bayesian networks
H Langseth, O Bangsø
Annals of Mathematics and Artificial Intelligence 32 (1-4), 221-243, 2001
A deep network model for paraphrase detection in short text messages
B Agarwal, H Ramampiaro, H Langseth, M Ruocco
Information Processing & Management 54 (6), 922-937, 2018
A latent model for collaborative filtering
H Langseth, TD Nielsen
International Journal of Approximate Reasoning 53 (4), 447-466, 2012
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
Competing risks for repairable systems: A data study
H Langseth, BH Lindqvist
Journal of Statistical Planning and Inference 136 (5), 1687-1700, 2006
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
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
Decision theoretic troubleshooting of coherent systems
H Langseth, FV Jensen
Reliability Engineering & System Safety 80 (1), 49-62, 2003
Integrating Bayesian networks into knowledge-intensive CBR
A Aamodt, H Langseth
AAAI Workshop on Case-Based Reasoning Integrations, 1-6, 1998
Bayesian networks with applications in reliability analysis
H Langseth
Norwegian university of Science and Technology, 2002
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Artículos 1–20