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  1. NFDI4DS Gateway and Portal

    Usbeck, R., Taffa, T. A., Veliz, R. A. G., Abdullah, R., Shams, N., Wentzel, B., Chen, Z. & Schimmler, S., 07.09.2023, In: Proceedings of the Conference on Research Data Infrastructure. 1, 4 p.

    Research output: Journal contributions › Conference abstract in journal › Research › peer-review

  2. Published

    Comparing two hybrid neural network models to predict real-world bus travel time

    Nimpanomprasert, T., Xie, L. & Kliewer, N., 01.01.2022, In: Transportation Research Procedia. 62, p. 393-400 8 p.

    Research output: Journal contributions › Conference article in journal › Research

  3. Data-Driven flood detection using neural networks

    Nogueira, K., Fadel, S. G., Dourado, I. C., De Werneck, R. O., Munoz, J. A., Penatti, O. A. B., Calumby, R. T., Li, L. T., Santos, J. A. D. & Torres, R. D. S., 2017, In: CEUR Workshop Proceedings. 1984, 3 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  4. Published

    Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach

    Bremer, V., Chow, P., Funk, B., Thorndike, F. P. & Ritterband, L. M., 28.10.2020, In: Journal of Medical Internet Research. 22, 10, 20 p., e17738.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  5. Published

    Evaluating OWL 2 reasoners in the context of checking entity-relationship diagrams during software development

    Kropotin, A. A., 2014, In: CEUR Workshop Proceedings. 1207, p. 44-50 7 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  6. Published

    Feature Extraction and Aggregation for Predicting the Euro 2016

    Tavakol, M., Zafartavanaelmi, H. & Brefeld, U., 09.2016, In: CEUR Workshop Proceedings. 1842, 1842, 7 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  7. Published

    Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?

    Rudolph, Y., Brefeld, U. & Dick, U., 2020, In: Proceedings of Machine Learning Research. 137, p. 136-147 12 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  8. Published

    Modeling Conditional Dependencies in Multiagent Trajectories

    Rudolph, Y. & Brefeld, U., 2022, In: Proceedings of Machine Learning Research. 151, p. 10518-10533 16 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  9. Published

    Neural Combinatorial Optimization on Heterogeneous Graphs: An Application to the Picker Routing Problem in Mixed-Shelves Warehouses

    Luttmann, L. & Xie, L., 30.05.2024, In: Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 34, p. 351-359 9 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  10. Published

    Nmap: A novel neighborhood preservation space-filling algorithm

    Duarte, F. S. L. G., Sikansi, F., Fatore, F. M., Fadel, S. G. & Paulovich, F. V., 31.12.2014, In: IEEE Transactions on Visualization and Computer Graphics. 20, 12, p. 2063-2071 9 p., 6876012.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

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