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Vincent Bremer

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Vincent Bremer

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    1. Article in conference proceedings › Research › Peer-reviewed
    2. 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/works › Article in conference proceedings › Research › peer-review

    3. 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/works › Article in conference proceedings › Research › peer-review

    4. 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/works › Article in conference proceedings › Research › peer-review

    5. Journal articles › Research › Peer-reviewed
    6. 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 contributions › Journal articles › Research › peer-review

    7. 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 contributions › Journal articles › Research › peer-review

    8. 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 contributions › Journal articles › Research › peer-review

    9. 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 contributions › Journal articles › Research › peer-review

    10. Published

      Predicting Therapy Success For Treatment as Usual and Blended Treatment in the Domain of Depression

      van Breda, W. R. J., Bremer, V., Becker, D., Funk, B., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, p. 100-104 5 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    11. Conference abstract in journal › Research › Peer-reviewed
    12. 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 contributions › Conference abstract in journal › Research › peer-review

    13. Conference article in journal › Research › Peer-reviewed
    14. 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

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