Browse by research area

  1. 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 contributionsConference article in journalResearchpeer-review

  2. 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 contributionsConference article in journalResearchpeer-review

  3. 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 contributionsConference article in journalResearchpeer-review

  4. 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 contributionsConference article in journalResearchpeer-review

  5. 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 contributionsConference article in journalResearchpeer-review

  6. 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 contributionsConference article in journalResearchpeer-review

  7. 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 contributionsConference article in journalResearchpeer-review

  8. Sentiment, we-talk and engagement on social media: insights from Twitter data mining on the US presidential elections 2020

    Hagemann, L. & Abramova, O., 27.11.2023, In: Internet Research. 33, 6, p. 2058-2085 28 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  9. Support vector machines with example dependent costs

    Brefeld, U., Geibel, P. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2837, p. 23-34 12 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  10. 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 contributionsConference article in journalResearch

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