Helge Langseth

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Thomas Dyhre NielsenAalborg UniversityEmail verificata su cs.aau.dk
Antonio Salmerón (ORCID: 0000-0003...University of Almería, SpainEmail verificata su ual.es
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg UniversityEmail verificata su hugin.com
Heri RamampiaroProfessor of Computer Science at the Norwegian University of Science and Technology (NTNU)Email verificata su ntnu.no
Andres R. MasegosaUniversity of AalborgEmail verificata su cs.aau.dk
Rafael RumíProfessor, University of AlmeríaEmail verificata su ual.es
Darío Ramos-LópezProfessor of Applied Mathematics, Department of Mathematics, University of Almería, Almería (Spain)Email verificata su ual.es
Ana M. MartínezJoint Research Center, European CommissionEmail verificata su ec.europa.eu
Agnar AamodtProfessor Emeritus, Norwegian University of Science and TechnologyEmail verificata su ntnu.no
Bo LindqvistNorwegian University of Science and TechnologyEmail verificata su ntnu.no
Luigi PortinaleProfessor of Computer Science, Universita' del Piemonte OrientaleEmail verificata su unipmn.it
Georgios K. PitsilisPhD in Computer ScienceEmail verificata su ntnu.no
Massimiliano Ruocco, PhDSenior Researcher, Sintef Digital. Adjunct Associate Professor, NTNUEmail verificata su ntnu.no
Anders Kofod-PetersenPiedBoeuf / NTNUEmail verificata su kofod-petersen.com
Rafael CabañasUniversity of AlmeríaEmail verificata su ual.es
Antonio FernándezSenior Data Scientist in Banking (Cajamar)Email verificata su bcc.es
Hanen BorchaniSimCorp A/SEmail verificata su simcorp.com
Tárik S. SalemNorwegian University of Science and Technology (NTNU)Email verificata su ntnu.no
Ole MengshoelProfessor of ECE, CMUEmail verificata su sv.cmu.edu
Ming ZengCarnegie Mellon UniversityEmail verificata su sv.cmu.edu

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Helge Langseth

Norwegian University of Science and Technology

Email verificata su ntnu.no - Home page

Bayesian networks Variational Inference Machine Learning Time series analysis


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Bayesian networks in reliability H Langseth, L Portinale Reliability Engineering & System Safety 92 (1), 92-108, 2007	809	2007
Effective hate-speech detection in Twitter data using recurrent neural networks GK Pitsilis, H Ramampiaro, H Langseth Applied Intelligence 48 (12), 4730-4742, 2018	303	2018
Detecting offensive language in tweets using deep learning GK Pitsilis, H Ramampiaro, H Langseth arXiv preprint arXiv:1801.04433, 2018	211	2018
Understanding and improving recurrent networks for human activity recognition by continuous attention M Zeng, H Gao, T Yu, OJ Mengshoel, H Langseth, I Lane, X Liu Proceedings of the 2018 ACM international symposium on wearable computers, 56-63, 2018	200	2018
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	145	2018
Inference in hybrid Bayesian networks H Langseth, TD Nielsen, R Rumí, A Salmerón Reliability Engineering & System Safety 94 (10), 1499-1509, 2009	139	2009
Classification using hierarchical naive Bayes models H Langseth, TD Nielsen Machine learning 63, 135-159, 2006	121	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	108	2001
Mixtures of truncated basis functions H Langseth, TD Nielsen, R Rumı, A Salmerón International Journal of Approximate Reasoning 53 (2), 212-227, 2012	104	2012
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	103	2017
Inter-session modeling for session-based recommendation M Ruocco, OSL Skrede, H Langseth Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 24-31, 2017	94	2017
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	94	2015
Reliability prediction method for safety instrumented systems S Hauge, P Hokstad, H Langseth, K Oien PDS method handbook, 25-27, 2006	82	2006
Fusion of domain knowledge with data for structural learning in object oriented domains H Langseth, TD Nielsen The Journal of Machine Learning Research 4, 339-368, 2003	75	2003
Review of Inference Algorithms for Hybrid Bayesian Networks A Salmerón, R Rumí, H Langseth, TD Nielsen, AL Madsen Journal of Artificial Intelligence Research 63, 799-828, 2018	68	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	66	2003
Learning similarity measures from data BM Mathisen, A Aamodt, K Bach, H Langseth Progress in Artificial Intelligence 9 (2), 129-143, 2020	63	2020
Parameter learning in object-oriented Bayesian networks H Langseth, O Bangsø Annals of Mathematics and Artificial Intelligence 32, 221-243, 2001	61	2001
A latent model for collaborative filtering H Langseth, TD Nielsen International Journal of Approximate Reasoning 53 (4), 447-466, 2012	58	2012
Competing risks for repairable systems: A data study H Langseth, BH Lindqvist Journal of Statistical Planning and Inference 136 (5), 1687-1700, 2006	51	2006

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