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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)Anomaly Detections for Manufacturing Systems Based on Sensor Data - Insights into Two Challenging Real-World Production Settings., , , , , and . Sensors, 19 (24): 5370 (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)Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity, , , , , , , and . International Journal of Data Science and Analytics, (2019)Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain, , , , , , , , and . Frontiers in Neuroscience, (2020)Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses., , , and . Future Internet, 13 (8): 203 (2021)Editorial: Smart Mobile Data Collection in the Context of Neuroscience, , , , , and . Frontiers in Neuroscience, (2021)Quality of life during the COVID-19 pandemic–Results of the CORONA HEALTH App study, , , , , and . Journal of Health Monitoring, 6 (Suppl 6): 2-21 (2021)Towards Mobile-Based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus, , , , , , , and . Wireless Mobile Communication and Healthcare, page 67-86. Springer International Publishing, (2021)Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment, , , , , , , , , and 9 other author(s). page 175-189. Springer International Publishing, Cham, (2021)