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Thomas Dyhre Nielsen
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Year
Bayesian networks and decision graphs
FV Jensen, TD Nielsen
Springer, 2007
75972007
Inference in hybrid Bayesian networks
H Langseth, TD Nielsen, R Rumí, A Salmerón
Reliability Engineering & System Safety 94 (10), 1499-1509, 2009
1312009
Classification using hierarchical naive Bayes models
H Langseth, TD Nielsen
Machine learning 63, 135-159, 2006
1152006
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
982017
Mixtures of truncated basis functions
H Langseth, TD Nielsen, R Rumı, A Salmerón
International Journal of Approximate Reasoning 53 (2), 212-227, 2012
972012
Welldefined decision scenarios
TD Nielsen, FV Jensen
arXiv preprint arXiv:1301.6729, 2013
942013
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
742003
Prescriptive analytics: a survey of emerging trends and technologies
D Frazzetto, TD Nielsen, TB Pedersen, L Šikšnys
The VLDB Journal 28, 575-595, 2019
712019
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
672011
Learning a decision maker's utility function from (possibly) inconsistent behavior
TD Nielsen, FV Jensen
Artificial Intelligence 160 (1-2), 53-78, 2004
672004
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
622016
Sequential influence diagrams: A unified asymmetry framework
FV Jensen, TD Nielsen, PP Shenoy
International Journal of Approximate Reasoning 42 (1-2), 101-118, 2006
592006
Adapting Bayes network structures to non-stationary domains
SH Nielsen, TD Nielsen
International Journal of Approximate Reasoning 49 (2), 379-397, 2008
582008
A latent model for collaborative filtering
H Langseth, TD Nielsen
International Journal of Approximate Reasoning 53 (4), 447-466, 2012
572012
Latent variable discovery in classification models
NL Zhang, TD Nielsen, FV Jensen
Artificial intelligence in medicine 30 (3), 283-299, 2004
572004
Graph convolutional networks for road networks
TS Jepsen, CS Jensen, TD Nielsen
Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019
532019
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
532018
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
502020
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
482012
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
47*2014
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