Thomas Dyhre Nielsen

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Helge LangsethNorwegian University of Science and TechnologyPatvirtintas el. paštas ntnu.no
Antonio Salmerón (ORCID: 0000-0003...University 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
Darío Ramos-LópezProfessor of Applied Mathematics, Department of Mathematics, University of Almería, Almería (Spain)Patvirtintas el. paštas ual.es
Kim G. LarsenDirector, Professor Aalborg UniversityPatvirtintas el. paštas cs.aau.dk
Ana M. MartínezJoint Research Center, European CommissionPatvirtintas el. paštas ec.europa.eu
Manfred JaegerAalborg 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
Rafael CabañasUniversity of AlmeríaPatvirtintas el. paštas ual.es
Hanen BorchaniSimCorp A/SPatvirtintas el. paštas simcorp.com
Jose Miguel Puerta (ORCID:0000-000...Professor of Computer Science, Castilla-La Mancha UniversityPatvirtintas el. paštas uclm.es
Jacinto AriasPhD Student, University of Castilla-La ManchaPatvirtintas el. paštas uclm.es
Prakash P. ShenoyUniversity of Kansas School of BusinessPatvirtintas el. paštas ku.edu
Manuel Luque (ORCID: 0000-0003-30...Universidad Nacional de Educación a Distancia (UNED). Madrid. Spain. (ROR 02msb5n36)Patvirtintas el. paštas ccia.uned.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	7762	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	122	2006
Mixtures of truncated basis functions H Langseth, TD Nielsen, R Rumı, A Salmerón International Journal of Approximate Reasoning 53 (2), 212-227, 2012	106	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	104	2017
Prescriptive analytics: a survey of emerging trends and technologies D Frazzetto, TD Nielsen, TB Pedersen, L Šikšnys The VLDB Journal 28, 575-595, 2019	96	2019
Welldefined decision scenarios TD Nielsen, FV Jensen arXiv preprint arXiv:1301.6729, 2013	95	2013
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	76	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	75	2016
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	69	2018
Graph convolutional networks for road networks TS Jepsen, CS Jensen, TD Nielsen Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019	66	2019
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	66	2011
Learning a decision maker's utility function from (possibly) inconsistent behavior TD Nielsen, FV Jensen Artificial Intelligence 160 (1-2), 53-78, 2004	66	2004
Latent variable discovery in classification models NL Zhang, TD Nielsen, FV Jensen Artificial intelligence in medicine 30 (3), 283-299, 2004	60	2004
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
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	58	2020
A latent model for collaborative filtering H Langseth, TD Nielsen International Journal of Approximate Reasoning 53 (4), 447-466, 2012	55	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	51*	2014
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	51	2012

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