Foto af Thomas Dyhre Nielsen
  • Selma Lagerløfs Vej 300, 1-2-34

    9220 Aalborg Ø

    Danmark

  • Selma Lagerlöfs Vej 300, Cassiopeia

    9220 Aalborg

    Danmark

19972019
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Publikationer 1999 2019

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2018
2 Citationer (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, s. 1-11 11 s.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Quality of service
Scheduling
Energy utilization
Uncertainty

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, s. 3421-3430 10 s.

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Learning systems
Availability
2017

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. Bind 70. s. 2334-2343

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Åben adgang
Computational efficiency
3 Citationer (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, s. 1284-1287 4 s. 7836816

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Economics
2016

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. s. 321-332 12 s. (JMLR Workshop and Conference Proceedings, Bind 52).

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Åben adgang

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, s. 743-750 8 s. (Frontiers in Artificial Intelligence and Applications, Bind 285).

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Åben adgang

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. s. 415-425 12 s. (JMLR Workshop and Conference Proceedings, Bind 52).

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Åben adgang
2015
307 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., okt. 2015, The 27th Benelux Conference on Artificial Intelligence (BNAIC 2015).

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Bayesian networks
Parallel algorithms
4 Citationer (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, s. 17-26 (Frontiers in Artificial Intelligence and Applications, Bind 278).

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Feature extraction
Labels
Classifiers
7 Citationer (Scopus)
340 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. (red.). Springer, s. 72-83 (Lecture Notes in Computer Science; Nr. 9385).

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Fil
208 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. (red.). Springer, s. 407-416 (Lecture Notes in Computer Science; Nr. 9161).

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Bayesian networks
Computational complexity
6 Citationer (Scopus)
220 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. (red.). Springer, s. 36-46 (Lecture Notes in Computer Science; Nr. 9422).

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Importance sampling
4 Citationer (Scopus)
127 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, s. 14-24 11 s. (Lecture Notes in Computer Science, Bind 9422).

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Fil
Bayesian networks
Parallel algorithms
Testing
Experiments
2014
8 Citationer (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, Bind 8754. s. 302-317 16 s. (Lecture Notes in Computer Science).

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867 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 s.

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Fil
2013
1 Citation (Scopus)
207 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. (red.). Springer Publishing Company, s. 363-372 10 s. (Lecture Notes in Artificial Intelligence : Subseries of Lecture Notes in Computer Science; Nr. XVIII, Bind 8109).

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Conditional Density
Bayesian Networks
Polynomial
Approximation
Nonparametric Density Estimation
2012
10 Citationer (Scopus)
343 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). s. 289-294

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Learning systems
Problem-Based Learning
10 Citationer (Scopus)
257 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. (red.). Springer, s. 216-230 15 s. (Lecture Notes in Computer Science, Bind 7226).

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Embedded systems
Markov processes
Learning systems
Hardware
Experiments
2011
25 Citationer (Scopus)
647 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, s. 111-120 10 s.

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Fil
2010
3 Citationer (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, s. 563-564

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2008
5 Citationer (Scopus)
333 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. (red.). s. 177-184 8 s.

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Åben adgang
Fil
3 Citationer (Scopus)
86 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. (red.). s. 169-176 8 s.

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Fil
2 Citationer (Scopus)
150 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. s. 129-136 8 s.

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Bayesian networks
2006

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. (red.). Denmark., s. 41-48 7 s.

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6 Citationer (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. s. 223-230 8 s.

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Bayesian networks
Sampling

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. (red.). IEEE Computer Society Press, 7 s.

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2005
5 Citationer (Scopus)
477 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, s. 76-87 (Lecture Notes in Computer Science; Nr. 3571).

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Fault detection
Power plants
Coal
Oils
2004
208 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. (red.). s. 153-160 8 s.

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Åben adgang
Fil
Influence Diagrams
Currency
Decision problem
Optimal Strategy
Inaccurate
169 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.

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2001

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.) (red.). Vol. 66 udg. IOS Press, s. 159-160

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6 Citationer (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.) (red.). 2143 udg. IEEE Computer Society Press, s. 144-155

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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. s. 340-344

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2000

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.) (red.). Morgan Kaufmann, s. 416-425

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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.) (red.). Morgan Kaufmann, s. 426-435

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1999

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.) (red.). Morgan Kaufmann, s. 502-511

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