Thomas Dyhre Nielsen

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Thomas Dyhre Nielsen

 https://orcid.org/0000-0002-4823-6341

  • Selma Lagerløfs Vej 300, 1-2-03

    9220 Aalborg Ø

    Denmark

1997 …2024

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  • 2024

    Compositional Control Synthesis for Water Management System

    Kim, E. H., Larsen, K. G., Nielsen, T. D. & Goorden, M., 28 Feb 2024, (Accepted/In press) ECC. p. 1-8 8 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • 2023

    Graph Neural Networks for Metagenomic Binning

    Lamurias, A., Tibo, A., Hose, K., Albertsen, M. & Nielsen, T. D., 2023, The 2023 ICML Workshop on Computational Biology. 7 p. 81

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access

  • Guaranteed safe controller synthesis for switched systems using analytical solutions

    Goorden, M., Larsen, K. G., Nielsen, J. E., Nielsen, T. D., Qian, W., Rasmussen, M. R. & Zhao, G., 2023, 2023 IEEE Conference on Control Technology and Applications, CCTA 2023. IEEE, p. 784-790 7 p. (IEEE Conference on Control Technology and Applications (CCTA) - Proceedings).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
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    37 Downloads (Pure)

  • Metagenomic Binning using Connectivity-constrained Variational Autoencoders

    Lamurias, A., Tibo, A., Hose, K., Nielsen, T. D. & Albertsen, M., 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A. & Brunskill, E. (eds.). p. 18471–18481 762. (The Proceedings of Machine Learning Research, Vol. 202).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
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    1 Downloads (Pure)

  • Patient Event Sequences for Predicting Hospitalization Length of Stay

    Hansen, E. R., Nielsen, T. D., Larsen, T. M., Strausholm, M. N., Sagi, T. & Hose, K., 7 Jun 2023, Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings. Juarez, J. M., Marcos, M., Stiglic, G. & Tucker, A. (eds.). Springer, p. 51-56 6 p. (Lecture Notes in Computer Science (LNCS), Vol. LNCS 13897).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • 2022

    A Reparameterization of Mixtures of Truncated Basis Functions and its Applications

    Salmerón, A., Langseth, H., Masegosa, A. & Nielsen, T. D., 2022, Proceedings of the 11th International Conference on Probabilistic Graphical Models : PMLR. Salmerón, A. & Rumı́, R. (eds.). PMLR Press, Vol. 186. p. 205-216 (The Proceedings of Machine Learning Research, Vol. 186).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access

  • Controlling Stormwater Detention Ponds under Partial Observability

    Kim, E. H., Nielsen, T. D., Larsen, K. G. & Goorden, M., 2 Nov 2022, NWPT: 33rd Nordic Workshop on Programming Theory. Nordic Workshop on Programming Theory, p. 1-3 3 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
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    30 Downloads (Pure)
  • 2021

    Learning Safe and Optimal Control Strategies for Storm Water Detention Ponds

    Goorden, M., Larsen, K. G., Nielsen, J. E., Nielsen, T. D., Rasmussen, M. R. & Srba, J., 2021, IFAC-PapersOnLine: 7th IFAC Conference on Analysis and Design of Hybrid Systems. 5 ed. Elsevier, Vol. 54. p. 13-18 6 p. (IFAC-PapersOnLine; No. 5, Vol. 54).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
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    8 Citations (Scopus)
    102 Downloads (Pure)

  • SolveDB+: SQL-based prescriptive analytics

    Siksnys, L., Pedersen, T. B., Nielsen, T. D. & Frazzetto, D., 2021, Advances in Database Technology - EDBT 2021: 24th International Conference on Extending Database Technology, Proceedings. Velegrakis, Y., Zeinalipour, D., Chrysanthis, P. K. & Guerra, F. (eds.). OpenProceedings.org, p. 133-144 12 p. (Advances in Database Technology).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
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    1 Citation (Scopus)
    136 Downloads (Pure)
  • 2019

    Graph Convolutional Networks for Road Networks

    Skovgaard Jepsen, T., Jensen, C. S. & Nielsen, T. D., 5 Nov 2019, Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Banaei-Kashani, F., Trajcevski, G., Guting, R. H., Kulik, L. & Newsam, S. (eds.). Association for Computing Machinery, p. 460-463 4 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
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    27 Citations (Scopus)
    380 Downloads (Pure)
  • 2018

    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 proceeding › Article in proceeding › Research › peer-review

    10 Citations (Scopus)

  • 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 proceeding › Article in proceeding › Research › peer-review

    12 Citations (Scopus)
  • 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. Vol. 70. p. 2334-2343

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    5 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 proceeding › Article in proceeding › Research › peer-review

    4 Citations (Scopus)
  • 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. p. 321-332 12 p. (JMLR Workshop and Conference Proceedings, Vol. 52).

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    11 Citations (Scopus)

  • 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 proceeding › Article in proceeding › Research › peer-review

    Open Access
    1 Citation (Scopus)

  • 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 proceeding › Article in proceeding › Research › peer-review

    Open Access
  • 2015

    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 proceeding › Article in proceeding › Research › peer-review

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    478 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 proceeding › Article in proceeding › Research › peer-review

    File
    4 Citations (Scopus)
    326 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 proceeding › Article in proceeding › Research › peer-review

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    17 Citations (Scopus)
    730 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 proceeding › Article in proceeding › Research › peer-review

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    4 Citations (Scopus)
    512 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 proceeding › Article in proceeding › Research › peer-review

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    7 Citations (Scopus)
    489 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 proceeding › Article in proceeding › Research › peer-review

    File
    8 Citations (Scopus)
    322 Downloads (Pure)
  • 2014

    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 proceeding › Article in proceeding › Research › peer-review

    11 Citations (Scopus)

  • 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 proceeding › Article in proceeding › Research › peer-review

    File
    1602 Downloads (Pure)
  • 2013

    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 proceeding › Article in proceeding › Research › peer-review

    File
    1 Citation (Scopus)
    465 Downloads (Pure)
  • 2012

    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 proceeding › Article in proceeding › Research › peer-review

    File
    19 Citations (Scopus)
    666 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 proceeding › Article in proceeding › Research › peer-review

    File
    13 Citations (Scopus)
    554 Downloads (Pure)
  • 2011

    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 proceeding › Article in proceeding › Research › peer-review

    File
    42 Citations (Scopus)
    959 Downloads (Pure)
  • 2010

    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 proceeding › Article in proceeding › Research › peer-review

    3 Citations (Scopus)
  • 2008

    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 proceeding › Article in proceeding › Research › peer-review

    Open Access
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    5 Citations (Scopus)
    445 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 proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    3 Citations (Scopus)
    125 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 proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    2 Citations (Scopus)
    216 Downloads (Pure)
  • 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. (ed.). Denmark., p. 41-48 7 p.

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • 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 proceeding › Article in proceeding › Research › peer-review

    6 Citations (Scopus)

  • 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 proceeding › Article in proceeding › Research › peer-review

    2 Citations (Scopus)
  • 2005

    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 proceeding › Article in proceeding › Research › peer-review

    Open Access
    File
    6 Citations (Scopus)
    754 Downloads (Pure)
  • 2004

    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 proceeding › Article in proceeding › Research › peer-review

    Open Access
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    252 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 proceeding › Article in proceeding › Research › peer-review

    Open Access
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    196 Downloads (Pure)
  • 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.) (ed.). Vol. 66 ed. IOS Press, p. 159-160

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

  • 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 proceeding › Article in proceeding › Research › peer-review

    7 Citations (Scopus)

  • 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 proceeding › Article in proceeding › Research › peer-review

  • 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.) (ed.). Morgan Kaufmann, p. 416-425

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-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 proceeding › Article in proceeding › Research › peer-review

  • 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.) (ed.). Morgan Kaufmann, p. 502-511

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review