Thomas Dyhre Nielsen

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Helge LangsethNorwegian University of Science and TechnologyVerified email at ntnu.no
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
Andres R. MasegosaUniversity of AalborgVerified email at cs.aau.dk
Rafael RumíProfessor, University of AlmeríaVerified email at ual.es
Darío Ramos-LópezProfessor of Applied Mathematics, Department of Mathematics, University of Almería, Almería (Spain)Verified email at ual.es
Ana M. MartínezJoint Research Center, European CommissionVerified email at ec.europa.eu
Kim G. LarsenDirector, Professor Aalborg UniversityVerified email at cs.aau.dk
Manfred JaegerAalborg UniversityVerified email at cs.aau.dk
Brian NielsenAssociate Professor of Computer Science, Aalborg UniversityVerified email at cs.aau.dk
Antonio FernándezSenior Data Scientist in Banking (Cajamar)Verified email at bcc.es
Rafael CabañasUniversity of AlmeríaVerified email at ual.es
Hanen BorchaniSimCorp A/SVerified email at simcorp.com
Jose Miguel Puerta (ORCID:0000-000...Professor of Computer Science, Castilla-La Mancha UniversityVerified email at uclm.es
Jacinto AriasPhD Student, University of Castilla-La ManchaVerified email at uclm.es
Prakash P. ShenoyUniversity of Kansas School of BusinessVerified email at ku.edu
Manuel Luque (ORCID: 0000-0003-30...Universidad Nacional de Educación a Distancia (UNED). Madrid. Spain. (ROR 02msb5n36)Verified email at ccia.uned.es
Concha BielzaProfessor of Statistics and Operations Research, Technical University of MadridVerified email at fi.upm.es
Juan L. Mateo (ORCID:0000-0001-99...Department of Computer Science, University of OviedoVerified email at uniovi.es
Gherardo VarandoUniversitat de ValènciaVerified email at uv.es

Thomas Dyhre Nielsen

Aalborg University

Verified email at cs.aau.dk - Homepage

Machine learning data mining Bayesian networks influence diagrams


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian networks and decision graphs FV Jensen, TD Nielsen Springer, 2007	7723	2007
Inference in hybrid Bayesian networks H Langseth, TD Nielsen, R Rumí, A Salmerón Reliability Engineering & System Safety 94 (10), 1499-1509, 2009	137	2009
Classification using hierarchical naive bayes models H Langseth, TD Nielsen Machine learning 63, 135-159, 2006	120	2006
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	102	2017
Welldefined decision scenarios TD Nielsen, FV Jensen arXiv preprint arXiv:1301.6729, 2013	96	2013
Prescriptive analytics: a survey of emerging trends and technologies D Frazzetto, TD Nielsen, TB Pedersen, L Šikšnys The VLDB Journal 28, 575-595, 2019	95	2019
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
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	70	2016
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	67	2011
Learning a decision maker's utility function from (possibly) inconsistent behavior TD Nielsen, FV Jensen Artificial Intelligence 160 (1-2), 53-78, 2004	67	2004
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	65	2018
Graph convolutional networks for road networks TS Jepsen, CS Jensen, TD Nielsen Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019	64	2019
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
A latent model for collaborative filtering H Langseth, TD Nielsen International Journal of Approximate Reasoning 53 (4), 447-466, 2012	58	2012
Adapting Bayes network structures to non-stationary domains SH Nielsen, TD Nielsen International Journal of Approximate Reasoning 49 (2), 379-397, 2008	58	2008
Relational fusion networks: Graph convolutional networks for road networks TS Jepsen, CS Jensen, TD Nielsen IEEE Transactions on Intelligent Transportation Systems 23 (1), 418-429, 2020	57	2020
Latent variable discovery in classification models NL Zhang, TD Nielsen, FV Jensen Artificial intelligence in medicine 30 (3), 283-299, 2004	57	2004
Learning Markov decision processes for model checking H Mao, Y Chen, M Jaeger, TD Nielsen, KG Larsen, B Nielsen arXiv preprint arXiv:1212.3873, 2012	53	2012
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	49*	2014

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