Photo of Thomas Dyhre Nielsen
  • Selma Lagerløfs Vej 300, 1-2-34

    9220 Aalborg Ø

    Denmark

  • Selma Lagerlöfs Vej 300, Cassiopeia

    9220 Aalborg

    Denmark

19972019
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Research Output 1999 2019

Anthology

International Journal of Approximate Reasoning: Selected papers from ECSQARU 2003

Nielsen, T. D. (ed.) & Zhang, N. L. (ed.), 2005, 3 ed.

Research output: Book/ReportAnthologyResearch

Article in proceeding

A COTS Framework for Sensor Fusion Using Dynamic Bayesian Networks in Livestock Production

Hansen, J. A., Nielsen, T. D. & Schiøler, H., 2006, Computer Applications in Industry and Engineering (CAINE-2006), 19th Int'l. Conference. Philip, T. (ed.). Denmark., p. 41-48 7 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

10 Citations (Scopus)
353 Downloads (Pure)

Active Learning of Markov Decision Processes for System Verification

Chen, Y. & Nielsen, T. D., 12 Dec 2012, International Conference on Machine Learning and Applications (ICMLA). p. 289-294

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Learning systems
Problem-Based Learning
6 Citations (Scopus)

Adapting Bayes Network Structures to Non-stationary Domains

Nielsen, S. H. & Nielsen, T. D., 2006, Proceedings of the Third European Workshop on Probabilistic Graphical Models. p. 223-230 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Bayesian networks
Sampling
3 Citations (Scopus)

Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices

Frazzetto, D., Neupane, B., Pedersen, T. B. & Nielsen, T. D., 12 Jun 2018, e-Energy 2018 - Proceedings of the 9th ACM International Conference on Future Energy Systems. Association for Computing Machinery, p. 1-11 11 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Quality of service
Scheduling
Energy utilization
Uncertainty
5 Citations (Scopus)
489 Downloads (Pure)

Alert Systems for production Plants: A Methodology Based on Conflict Analysis

Nielsen, T. D. & Jensen, F. V., 2005, Proceedings of the Eighth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. IEEE Computer Society Press, p. 76-87 (Lecture Notes in Computer Science; No. 3571).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File
Fault detection
Power plants
Coal
Oils
308 Downloads (Pure)

AMIDST: Analysis of MassIve Data STreams

Masegosa, A., Martinez, A. M., Borchani, H., Ramos-López, D., Nielsen, T. D., Langseth, H., Salmerón, A. & Madsen, A. L., Oct 2015, The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Bayesian networks
Parallel algorithms
5 Citations (Scopus)
336 Downloads (Pure)

An anytime algorithm for evaluating unconstrained influence diagrams

Luque, M., Nielsen, T. D. & Jensen, F. V., 2008, Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. Jaeger, M. & Nielsen, T. D. (eds.). p. 177-184 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File
8 Citations (Scopus)

A new method for vertical parallelisation of TAN learning based on balanced incomplete block designs

Madsen, A. L., Jensen, F., Salmerón, A., Karlsen, M., Langseth, H. & Nielsen, T. D., 2014, Proceedings of the 7th European Workshop on Probabilistic Graphical Models. Springer Publishing Company, Vol. 8754. p. 302-317 16 p. (Lecture Notes in Computer Science).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Bayesian models of data streams with Hierarchical Power Priors

Masegosa, A., Nielsen, T. D., Langseth, H., Ramos-López, D., Salmerón, A. & Madsen, A. L., 2017, Proceedings of the 34th International Conference on Machine Learning. Vol. 70. p. 2334-2343

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
Computational efficiency

Cutting Influence Diagrams Down to the Core

Nielsen, T. D. & Jensen, F. V., 2001, Seventh Scandinavian Conference on Artificial Intelligence : SCAI'01: Frontiers in Artificial Intelligence and Applications. Lund, H. H. : Mayoh, B. : Perram, J. (eds.) (ed.). Vol. 66 ed. IOS Press, p. 159-160

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

6 Citations (Scopus)

Decomposition of Influence Diagrams

Nielsen, T. D., 2001, Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 6th European Conference, ECSQARU 2001 Toulouse, France, September 19 - 21, 2001 : Proceedings: Lecture Notes in Artificial Intelligence , subseries of Lecture Notes in Computer Science. Benferhat, S. : Besnard, P. (eds.) (ed.). 2143 ed. IEEE Computer Society Press, p. 144-155

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

d-VMP: Distributed Variational Message Passing

Masegosa, A., Martinez, A. M., Langseth, H., Nielsen, T. D., Salmerón, A., Ramos-López, D. & Madsen, A. L., 2016, JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. p. 321-332 12 p. (JMLR Workshop and Conference Proceedings, Vol. 52).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
4 Citations (Scopus)
252 Downloads (Pure)

Dynamic Bayesian modeling for risk prediction in credit operations

Borchani, H., Martinez, A. M., Masegosa, A., Langseth, H., Nielsen, T. D., Salmerón, A., Fernández, A., Madsen, A. L. & Sáez, R., 2015, The 13th Scandinavian Conference on Artificial Intelligence (SCAI'2015). IOS Press, p. 17-26 (Frontiers in Artificial Intelligence and Applications, Vol. 278).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Feature extraction
Labels
Classifiers
3 Citations (Scopus)

Financial Data Analysis with PGMs Using AMIDST

Cabanas, R., Martinez, A. M., Masegosa, A. R., Ramos-Lopez, D., Sameron, A., Nielsen, T. D., Langseth, H. & Madsen, A. L., 30 Jan 2017, Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. IEEE, p. 1284-1287 4 p. 7836816

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Economics
10 Citations (Scopus)
270 Downloads (Pure)

Learning Markov models for stationary system behaviors

Chen, Y., Mao, H., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2012, NASA Formal Methods: 4th International Symposium, NFM 2012, Norfolk, VA, USA, April 3-5, 2012. Proceedings. Goodloe, A. E. & Person, S. (eds.). Springer, p. 216-230 15 p. (Lecture Notes in Computer Science, Vol. 7226).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Embedded systems
Markov processes
Learning systems
Hardware
Experiments
1 Citation (Scopus)
216 Downloads (Pure)

Learning Mixtures of Polynomials of Conditional Densities from Data

L. López-Cruz, P., Nielsen, T. D., Bielza, C. & Larrañga, P., 2013, Advances in Artificial Intelligence: 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 17-20, 2013. Proceedings. Bielza et al., C. (ed.). Springer Publishing Company, p. 363-372 10 p. (Lecture Notes in Artificial Intelligence : Subseries of Lecture Notes in Computer Science; No. XVIII, Vol. 8109).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Conditional Density
Bayesian Networks
Polynomial
Approximation
Nonparametric Density Estimation
27 Citations (Scopus)
658 Downloads (Pure)

Learning Probabilistic Automata for Model Checking

Mao, H., Chen, Y., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2011, 8th International Conference on Quantitative Evaluation of Systems (QEST). IEEE, p. 111-120 10 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
7 Citations (Scopus)
364 Downloads (Pure)

Modeling concept drift: A probabilistic graphical model based approach

Borchani, H., Martinez, A. M., Masegosa, A. R., Langseth, H., Nielsen, T. D., Salmerón, A., Fernández, A., Madsen, A. L. & Sáez, R., 2015, Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings. Fromont, E., De Bie, T. & van Leeuwen, M. (eds.). Springer, p. 72-83 (Lecture Notes in Computer Science; No. 9385).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
230 Downloads (Pure)

MPE inference in conditional linear gaussian networks

Salmerón, A., Rumí, R., Langseth, H., Madsen, A. L. & Nielsen, T. D., 2015, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings. Destercke, S. & Denoeux, T. (eds.). Springer, p. 407-416 (Lecture Notes in Computer Science; No. 9161).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Bayesian networks
Computational complexity
209 Downloads (Pure)

Multi-currency Influence Diagrams

Nielsen, S. H., Nielsen, T. D. & Jensen, F. V., 2004, Proceedings of the Second European Workshop on Probabilistic Graphical Models. Lucas, P. (ed.). p. 153-160 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File
Influence Diagrams
Currency
Decision problem
Optimal Strategy
Inaccurate

On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network

Jepsen, T. S., Jensen, C. S., Nielsen, T. D. & Torp, K., 2018, Proceedings of the 2018 IEEE International Conference on Big Data. IEEE, p. 3421-3430 10 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Learning systems
Availability

Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs

Salmerón, A., Madsen, A. L., Jensen, F., Langseth, H., Nielsen, T. D., Ramos-López, D., Martinez, A. M. & Masegosa, A., 2016, ECAI 2016: 22nd European Conference on Artificial Intelligence. IOS Press, p. 743-750 8 p. (Frontiers in Artificial Intelligence and Applications, Vol. 285).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
6 Citations (Scopus)
241 Downloads (Pure)

Parallel importance sampling in conditional linear Gaussian networks

Salmerón, A., Ramos-López, D., Borchani, H., Martinez, A. M., Masegosa, A. R., Fernández, A., Langseth, H., Madsen, A. L. & Nielsen, T. D., 2015, Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November 9–12, 2015 Proceedings. Puerta, J. M., Gámez, J. A., Dorronsoro, B., Barrenechea, E., Troncoso, A., Baruque, B. & Galar, M. (eds.). Springer, p. 36-46 (Lecture Notes in Computer Science; No. 9422).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Importance sampling
4 Citations (Scopus)
139 Downloads (Pure)

Parallelisation of the PC Algorithm

Madsen, A. L., Jensen, F., Salmerón, A., Langseth, H. & Nielsen, T. D., 2015, Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November 9–12, 2015 Proceedings. Springer, p. 14-24 11 p. (Lecture Notes in Computer Science, Vol. 9422).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
Bayesian networks
Parallel algorithms
Testing
Experiments
3 Citations (Scopus)
87 Downloads (Pure)

Parameter estimation in mixtures of truncated exponentials

Langseth, H., Nielsen, T. D., Rumí, R. & Salmerón, A., 2008, Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. Jaeger, M. & Nielsen, T. D. (eds.). p. 169-176 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File

Representing and Solving Asymmetric Bayesian Decision Problems

Nielsen, T. D. & Jensen, F. V., 2000, Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence. Boutilier, C. : Goldszmidt, M. (eds.) (ed.). Morgan Kaufmann, p. 416-425

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

890 Downloads (Pure)

Requirement Engineering for a Small Project with Pre-Specified Scope

Nielsen, T. D., Hovda, S., Antontio, F., Langseth, H., Madsen, A. L., Masegosa, A. & Salmerón, A., 2014, NIK: Norsk Informatikkonferanse . 12 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

File
2 Citations (Scopus)
152 Downloads (Pure)

Robust classification using mixtures of dependency networks

Gámez, J. A., Mateo, J. L., Nielsen, T. D. & Puerta, J. M., 2008, Proceedings of the Fourth European Workshop on Probabilistic Graphical Models. p. 129-136 8 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File
Bayesian networks

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach

Ramos-López, D., Salmerón, A., Rumí, R., Martinez, A. M., Nielsen, T. D., Masegosa, A., Langseth, H. & Madsen, A. L., 2016, JMLR Workshop and Conference Proceedings: Volume 52: Proceedings of the Eighth International Conference on Probabilistic Graphical Models. p. 415-425 12 p. (JMLR Workshop and Conference Proceedings, Vol. 52).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access

Sensor Fusion using Dynamic Bayesian Networks in Livestock Production Buildings

Hansen, J. A., Nielsen, T. D. & Schiøler, H., 2006, Int. Conf. on Computational Intelligence for Modelling Control and Automation, CIMCA'06. Mohammadian, M. (ed.). IEEE Computer Society Press, 7 p.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

171 Downloads (Pure)

Sequential influence diagrams: a unified asymmetry framework

Jensen, F. V., Nielsen, T. D. & Shenoy, P., 2004, Proceedings of the second European Workshop on Probabilistic Graphical Models.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Open Access
File

Structural Learning in Object Oriented Domains

Bangsø, O., Langseth, H. & Nielsen, T. D., 2001, Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS), Key West. p. 340-344

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)

Towards a more expressive model for dynamic classification

Zhong, S., Martínez, A. M., Nielsen, T. D. & Langseth, H., 2010, Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23. AAAI Press, p. 563-564

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example

Nielsen, T. D., Wuillemin, P-H., Jensen, F. V. & Kjærulff, U. B., 2000, Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence: UAI '00. Boutilier, C. : Goldszmidt, M. (eds.) (ed.). Morgan Kaufmann, p. 426-435

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Well-Defined Decision Scenarios

Nielsen, T. D. & Jensen, F. V., 1999, Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence. Laskey, K. B. : Prade, H. (eds.) (ed.). Morgan Kaufmann, p. 502-511

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Book

An Operational Approach to Rational Decision making based on Rank Dependent Utility

Nielsen, T. D. & Jaffray, J-Y., 2001, Aalborg: Aalborg Universitetsforlag. (Research Report : Department of Computer Science, The Faculty of Engineering and Science, Aalborg University; No. R-01-5001).

Research output: Book/ReportBookResearch

Bayesian Networks and Decision Diagrams

Jensen, F. V. & Nielsen, T. D., 2007, 2. ed. New York: IEEE Computer Society Press. 463 p. (Information Science and Statistics).

Research output: Book/ReportBookResearch

Classification using Hierarchical Naive Bayes models

Langseth, H. & Nielsen, T. D., 2002, Aalborg: Aalborg Universitetsforlag. (Technical Report / Department of Computer Science; No. TR-02-004).

Research output: Book/ReportBookResearch

Proceedings of the Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ESCQARU)

Nielsen, T. D. . . & Zhang, N. . ., 2003, Berlin-Heidelberg: IEEE Computer Society Press. (Lecture Notes In Artificial Intelligence; No. 2711).

Research output: Book/ReportBookResearch

Representing and Solving Asymmetric Bayesian Decision Problems

Nielsen, T. D. & Jensen, F. V., 1999, Aalborg : Aalborg University: Department of Computer Science, Aalborg University. (R : Department of Computer Science, Aalborg University; No. R99-5010).

Research output: Book/ReportBookResearch

Well-Defined Decision Scenarios

Nielsen, T. D. & Jensen, F. V., 2001, Aalborg: Aalborg Universitetsforlag. (Research Report : Department of Computer Science, The Faculty of Engineering and Science, Aalborg University; No. R-01-5002).

Research output: Book/ReportBookResearch

Book chapter

Advances in Decision Graphs

Nielsen, T. D. & Jensen, F. V., 2004, Advances in Bayesian Networks. Gaméz, J.A : Moral, S. : Salmerón, A. (eds.) (ed.). London: IEEE Computer Society Press, p. 137-159 (Studies in Fuzziness and Soft Computing; No. 146).

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearch

10 Citations (Scopus)
155 Downloads (Pure)

Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions

Langseth, H., Nielsen, T. D., Rumí, R. & Salmerón, A., 2012, Proceedings of the Sixth European Workshop on Probabilistic Graphical Models. Cano, A., Gómez-Olmedo, M. & Nielsen, T. D. (eds.). DECSAI, University of Granada, p. 171-178 8 p.

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

File
Bayesian networks
Experiments
8 Citations (Scopus)
118 Downloads (Pure)

Learning Mixtures of Truncated Basis Functions from Data

Langseth, H., Nielsen, T. D. & Salmerón, A., 2012, Proceedings of the Sixth European Workshop on Probabilistic Graphical Models. Cano, A., Gómez-Olmedo, M. & Nielsen, T. D. (eds.). DECSAI, University of Granada, p. 163-170 8 p.

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

File
Bayesian networks
Convex optimization
Maximum likelihood
3 Citations (Scopus)
226 Downloads (Pure)

Multi-currency Influence Diagrams

Nielsen, S. H., Nielsen, T. D. & Jensen, F. V., 2007, Advances in Probabilistic Graphical Models. Lucas, P., Gamez, J. & Salmeron, A. (eds.). Springer, Vol. 213. p. 275-294 (Studies in Fuzziness and Soft Computing, Vol. 213).

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearch

File
Conference abstract in proceeding
4 Citations (Scopus)

A pairwise class interaction framework for multilabel classification

Arias, J., Gámez, J. A., Nielsen, T. D. & Puerta, J. M., 2014, Proceedings of the 7th European Workshop on Probabilistic Graphical Models. van der Gaag, L. C. & Feelders, A. J. (eds.). Springer Publishing Company, Vol. 8754. p. 17-32 16 p. (Lecture Notes in Computer Science).

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearchpeer-review

Conference article in Journal

Learning Markov Decision Processes for Model Checking

Mao, H., Chen, Y., Jaeger, M., Nielsen, T. D., Larsen, K. G. & Nielsen, B., 2012, In : Electronic Proceedings in Theoretical Computer Science. 103, p. 49-63

Research output: Contribution to journalConference article in JournalResearchpeer-review

Model checking
Temporal logic
Finite automata
Learning algorithms
Learning systems
13 Citations (Scopus)
260 Downloads (Pure)

Maximum Likelihood Learning of Conditional MTE Distributions

Langseth, H., Nielsen, T. D., Rumí, R. & Salmerón, A., 2009, In : Lecture Notes in Computer Science. 5590, p. 240-251

Research output: Contribution to journalConference article in JournalResearchpeer-review

File
Truncated Distributions
Exponential distribution
Maximum likelihood
Maximum Likelihood
Conditional Density
Editorial

Editorial: Special Issue on PGM-2008

Jaeger, M. & Nielsen, T. D., Jun 2010, In : International Journal of Approximate Reasoning. 51, 5, p. 473

Research output: Contribution to journalEditorialResearch