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  1. 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

  2. Predicting the interfacial heat transfer coefficient of cast Mg-Al alloys using Beck's inverse analysis

    Bilal, M. U. & Hort, N., 12.06.2020, In: IOP Conference Series: Materials Science and Engineering. 861, 1, 8 p., 012027.

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

  3. 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

  4. 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

  5. Predicting Travel Patterns of Senior Citizens: How the Past May Provide a Key to the Future

    Lohmann, M. & Danielsson, J., 01.10.2001, In: Journal of Vacation Marketing. 7, 4, p. 357-366 10 p.

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

  6. Published

    Prediction of improvement in quality of life (QoL-AGHDA) in adults with growth hormone deficiency by normative reference limits: data of the German KIMS cohort

    Moock, J., Friedrich, N., Völzke, H., Spielhagen, C., Nauck, M., Koltowska-Häggström, M., Buchfelder, M., Wallaschofski, H. & Kohlmann, T., 01.10.2011, In: Growth Hormone and IGF Research. 21, 5, p. 272-278 7 p.

    Research output: Journal contributions › Journal articles › Research

  7. Published

    Prediction of nanoparticle transport behavior from physicochemical properties: Machine learning provides insights to guide the next generation of transport models

    Goldberg, E., Scheringer, M., Bucheli, T. D. & Hungerbühler, K., 2015, In: Environmental Sciences: Nano. 2, 4, p. 352-360 9 p.

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

  8. Prediction of Process Forces in Fiber Metal Laminate Stamping

    Hahn, M., Ben Khalifa, N. & Shabaninejad, A., 01.03.2018, In: Journal of Manufacturing Science and Engineering. 140, 3, 9 p., 0310021.

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

  9. Prediction of roughness after ball burnishing of thermally coated surfaces

    Hiegemann, L., Weddeling, C., Ben Khalifa, N. & Tekkaya, A. E., 03.2015, In: Journal of Materials Processing Technology. 217, p. 193-201 9 p.

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

  10. Published

    Prediction of the tool change point in a polishing process using a modular software framework

    Meier, N., Papadoudis, J. & Georgiadis, A., 2020, In: Procedia CIRP. 88, p. 341-345 5 p.

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

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