Thomas Dyhre Nielsen

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Helge LangsethNorwegian University of Science and TechnologyPatvirtintas el. paštas ntnu.no
Antonio SalmerónUniversity of Almería, SpainPatvirtintas el. paštas ual.es
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg UniversityPatvirtintas el. paštas hugin.com
Andres R. MasegosaUniversity of AalborgPatvirtintas el. paštas cs.aau.dk
Rafael RumíProfessor, University of AlmeríaPatvirtintas el. paštas ual.es
Ana M. MartínezJoint Research Center, European CommissionPatvirtintas el. paštas ec.europa.eu
Darío Ramos-LópezProfessor of Applied Mathematics, Department of Mathematics, University of Almería, Almería (Spain)Patvirtintas el. paštas ual.es
Manfred JaegerAalborg UniversityPatvirtintas el. paštas cs.aau.dk
Kim G. LarsenDirector, Professor Aalborg UniversityPatvirtintas el. paštas cs.aau.dk
Brian NielsenAssociate Professor of Computer Science, Aalborg UniversityPatvirtintas el. paštas cs.aau.dk
Antonio FernándezSenior Data Scientist in Banking (Cajamar)Patvirtintas el. paštas bcc.es
Hanen BorchaniSimCorp A/SPatvirtintas el. paštas simcorp.com
Rafael CabañasUniversity of AlmeríaPatvirtintas el. paštas ual.es
Jose Miguel Puerta (ORCID:0000-000...Professor of Computer Science, Castilla-La Mancha UniversityPatvirtintas el. paštas uclm.es
Manuel Luque (ORCID: 0000-0003-30...Universidad Nacional de Educación a Distancia (UNED). Madrid. SpainPatvirtintas el. paštas ccia.uned.es
Prakash P. ShenoyUniversity of Kansas School of BusinessPatvirtintas el. paštas ku.edu
Jacinto AriasPhD Student, University of Castilla-La ManchaPatvirtintas el. paštas uclm.es
Concha BielzaProfessor of Statistics and Operations Research, Technical University of MadridPatvirtintas el. paštas fi.upm.es
Juan L. Mateo (ORCID:0000-0001-99...Department of Computer Science, University of OviedoPatvirtintas el. paštas uniovi.es
Gherardo VarandoUniversitat de ValènciaPatvirtintas el. paštas uv.es

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Thomas Dyhre Nielsen

Aalborg University

Patvirtintas el. paštas cs.aau.dk - Pagrindinis puslapis

Machine learning data mining Bayesian networks influence diagrams


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Bayesian networks and decision graphs FV Jensen, TD Nielsen Springer, 2007	7212	2007
Inference in hybrid Bayesian networks H Langseth, TD Nielsen, R Rumí, A Salmerón Reliability Engineering & System Safety 94 (10), 1499-1509, 2009	125	2009
Classification using hierarchical naive Bayes models H Langseth, TD Nielsen Machine learning 63, 135-159, 2006	107	2006
Welldefined decision scenarios TD Nielsen, FV Jensen arXiv preprint arXiv:1301.6729, 2013	94	2013
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	91	2017
Mixtures of truncated basis functions H Langseth, TD Nielsen, R Rumı, A Salmerón International Journal of Approximate Reasoning 53 (2), 212-227, 2012	90	2012
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	71	2003
Learning a decision maker's utility function from (possibly) inconsistent behavior TD Nielsen, FV Jensen Artificial Intelligence 160 (1-2), 53-78, 2004	64	2004
Learning probabilistic automata for model checking H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen 2011 Eighth International Conference on Quantitative Evaluation of Systems …, 2011	60	2011
Adapting Bayes network structures to non-stationary domains SH Nielsen, TD Nielsen International Journal of Approximate Reasoning 49 (2), 379-397, 2008	59	2008
Sequential influence diagrams: A unified asymmetry framework FV Jensen, TD Nielsen, PP Shenoy International Journal of Approximate Reasoning 42 (1-2), 101-118, 2006	59	2006
Latent variable discovery in classification models NL Zhang, TD Nielsen, FV Jensen Artificial intelligence in medicine 30 (3), 283-299, 2004	56	2004
A latent model for collaborative filtering H Langseth, TD Nielsen International Journal of Approximate Reasoning 53 (4), 447-466, 2012	55	2012
Learning deterministic probabilistic automata from a model checking perspective H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen Machine Learning 105, 255-299, 2016	46	2016
Learning mixtures of truncated basis functions from data H Langseth, TD Nielsen, I Pérez-Bernabé, A Salmerón International Journal of Approximate Reasoning 55 (4), 940-956, 2014	46*	2014
Representing and solving asymmetric decision problems TD Nielsen, FV Jensen International Journal of Information Technology & Decision Making 2 (02 …, 2003	44	2003
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	43	2010
Prescriptive analytics: a survey of emerging trends and technologies D Frazzetto, TD Nielsen, TB Pedersen, L Šikšnys The VLDB Journal 28, 575-595, 2019	42	2019
A review of inference algorithms for hybrid Bayesian networks A Salmerón, R Rumí, H Langseth, TD Nielsen, AL Madsen Journal of Artificial Intelligence Research 62, 799-828, 2018	42	2018
Graph convolutional networks for road networks TS Jepsen, CS Jensen, TD Nielsen Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019	36	2019

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