Towards Data-Efficient Mobility Analytics in Spatial Networks

Tobias Skovgaard Jepsen

Research output: PhD thesis

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  • 2020

    Scalable Unsupervised Multi-Criteria Trajectory Segmentation and Driving Preference Mining

    Barth, F., Funke, S., Skovgaard Jepsen, T. & Proissl, C., 3 Nov 2020, BIGSPATIAL '20: Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data. Chandola, V., Vatsavai, R. R. & Shashidharan, A. (eds.). Association for Computing Machinery, p. 1-10 10 p. 6

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

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    4 Citations (Scopus)
    33 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 proceedingArticle in proceedingResearchpeer-review

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    27 Citations (Scopus)
    383 Downloads (Pure)
  • 2018

    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

    12 Citations (Scopus)
  • 2017

    Extended dependency graphs and efficient distributed fixed-point computation

    Dalsgaard, A. E., Enevoldsen, S., Fogh, P., Jensen, L. S., Jepsen, T. S., Kaufmann, I., Larsen, K. G., Nielsen, S. M., Olesen, M. C., Pastva, S. & Srba, J., 2017, Application and Theory of Petri Nets and Concurrency - 38th International Conference, PETRI NETS 2017, Proceedings. Springer, Vol. 10258 LNCS. p. 139-158 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10258 LNCS).

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

    13 Citations (Scopus)