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Predicting the presence of tinnitus using ecological momentary assessments, , , , , , , , и . Scientific Reports, 13 (1): 8989 (2023)Entwicklung mobiler Apps: Konzepte, Anwendungsbausteine und Werkzeuge im Business und E-Health, , , , , и . eXamen.press Springer Vieweg, Berlin, (2015)Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App., , , , , и . CBMS, стр. 354-359. IEEE, (2021)Patient Empowerment Through Summarization of Discussion Threads on Treatments in a Patient Self-help Forum, , , , , , , , , и 1 other автор(ы). стр. 229-233. Springer Singapore, (2018)Best Paper Award (2. Position) at the Int. Conf. on Biomedical and Health Informatics (ICBHI 2017).Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity., , , , , , , и . Int. J. Data Sci. Anal., 9 (1): 1-15 (2020)Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data*., , , , и . EMBC, стр. 816-819. IEEE, (2021)Free Technical Solutions for Ecological Momentary Assessments - Searching GitHub plus Google., , , , , , , и . CSCI, стр. 1778-1781. IEEE, (2022)Are Non-Experts Able to Comprehend Business Process Models--Study Insights Involving Novices and Experts, , , , , , и . arXiv preprint arXiv:2107.02030, (2021)Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users., , , , и . DSAA, стр. 1-10. IEEE, (2022)Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios, , , , , , , , , и 1 other автор(ы). JoVE (Journal of Visualized Experiments), (2020)