Burkhardt Funk

Prof. Dr.

  1. 2024
  2. Published

    Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions

    Zantvoort, K., Nacke, B., Görlich, D., Hornstein, S., Jacobi, C. & Funk, B., 12.2024, In: npj Digital Medicine. 7, 1, 10 p., 361.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. 2025
  4. Published

    Construct relation extraction from scientific papers: Is it automatable yet?

    Funk, B. & Scharfenberger, J., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences. Bui, T. (ed.). Honolulu: University of Hawaii at Manoa, p. 4675-4684 10 p. (Hawaii International Conference on System Sciences (HICSS); vol. 2025).

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

  5. Published

    Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT)

    Zainal, N. H., Eckhardt, R., Rackoff, G. N., Fitzsimmons-Craft, E. E., Rojas-Ashe, E., Barr Taylor, C., Funk, B., Eisenberg, D., Wilfley, D. E. & Newman, M. G., 02.04.2025, In: Psychological Medicine. 55, e106.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions

    Zantvoort, K., Matthiesen, J., Bjurner, P., Bendix, M., Brefeld, U., Funk, B. & Kaldo, V., 06.2025, In: Internet Interventions. 40, 7 p., 100828.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    From Feedback to Formative Guidance: Leveraging LLMs for Personalized Support in Programming Projects

    Ghoochani, F., Scharfenberger, J., Funk, B., Doublan, R., Jakharabhai Odedra, M. & Etsiwah, B., 12.06.2025, UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. Conati, C., Narducci, F., Rossiello, G., Musto, C. & Vassileva, J. (eds.). Association for Computing Machinery, Inc, p. 398-403 6 p. (UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization).

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

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