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Skill Development and Stabilisation of Expertise for Electronic Music Performance.

, and . CMMR, volume 9617 of Lecture Notes in Computer Science, page 111-131. (2015)

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Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus-stress associations based on the TrackYourTinnitus mobile platform., , , , , , , and . Int. J. Data Sci. Anal., 8 (4): 327-338 (2019)Prospective crowdsensing versus retrospective ratings of tinnitus variability and tinnitus–stress associations based on the TrackYourTinnitus mobile platform, , , , , , , and . International Journal of Data Science and Analytics, (2018)What data are smartphone users willing to share with researchers?, , , , , , , and . J. Ambient Intell. Humaniz. Comput., 11 (6): 2277-2289 (2020)Smartphone-Guided Educational Counseling and Self-Help for Chronic Tinnitus, , , , , , , , , and 1 other author(s). Journal of Clinical Medicine, 11 (7): 1825 (2022)Tinnitus Subtyping with Subgrouping Within Group Iterative Multiple Model Estimation: An Ecological Momentary Assessment Study, , , , , , and . medRxiv, (2022)The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT), , , , , , , , , and 31 other author(s). Trials, 24 (1): 472 (2023)Understanding adherence to the recording of ecological momentary assessments in the example of tinnitus monitoring, , , , , , , and . Scientific Reports, (December 2020)Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform., , , , , , , , , and 4 other author(s). EMBC, page 3951-3955. IEEE, (2019)Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data*., , , , and . EMBC, page 816-819. IEEE, (2021)Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study, , , , , , and . Frontiers in Neuroscience, (2022)