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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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 contributions › Conference article in journal › Research › peer-review

  8. 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 contributions › Conference article in journal › Research › peer-review

  9. Published

    Datengetriebene Agilität: Auf der Erfolgsspur zur Digitalen Exzellenz

    Böhmann, T., Drews, P. & Zolnowski, A., 2016, Hamburg: Sopra Steria Consulting, 40 p.

    Research output: Working paper › Project reports › Transfer

  10. Published

    Digitale Exzellenz: Eine Bestandsaufnahme zur Digitalisierung deutscher Unternehmen und Behörden

    Böhmann, T., Drews, P. & Meyer-Blankart, C., 07.2015, Hamburg: Sopra Steria Consulting, 56 p.

    Research output: Working paper › Project reports › Transfer

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