Vincent Bremer

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Vincent Bremer

  1. Published

    Analysing clickstream data: Do paid and organic search affect each other?

    Bremer, V. & Funk, B., 04.04.2017, In: International Journal of Electronic Business. 13, 2/3, p. 205-215 11 p., 5.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  2. Published

    Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention

    Bremer, V., Chow, P., Funk, B., Thorndike, F. & Ritterband, L., 27.05.2020, In: Sleep. 43, Supplement 1, p. A460 1 p., 1204.

    Research output: Journal contributionsConference abstract in journalResearchpeer-review

  3. Published

    A two-step approach for the prediction of mood levels based on diary data

    Bremer, V., Becker, D., Genz, T., Funk, B. & Lehr, D., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings: European Conference, ECML PKDD 2018, Dublin, Ireland. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurley, N. (eds.). Cham: Springer International Publishing AG, p. 626-629 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-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 contributionsConference article in journalResearchpeer-review

  5. Published

    Evaluation of a temporal causal model for predicting the mood of clients in an online therapy

    Becker, D., Bremer, V., Funk, B., Hoogendoorn, M., Rocha, A. & Riper, H., 11.02.2020, In: BMJ mental health. 23, 1, p. 27-33 7 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data

    Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    How to Predict Mood? Delving into Features of Smartphone-Based Data

    Becker, D., Bremer, V., Funk, B., Asselbergs, J., Riper, H. & Ruwaard, J., 08.2016, Proceedings of the AMCIS 2016. AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2016).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. Published
  9. Published

    Predicting the Individual Mood Level based on Diary Data

    Bremer, V., Becker, D., Funk, B. & Lehr, D., 06.2017, Proceedings of the 25th European Conference on Information Systems, ECIS 2017. AIS eLibrary, p. 1161-1177 17 p. (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. Published

    Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis

    Bremer, V., Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M. & Riper, H., 21.08.2018, In: Journal of Medical Internet Research. 20, 8, 11 p., e10275.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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