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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)

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Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain, , , , , , , , and . Frontiers in Neuroscience, (2020)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)Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses, , , and . Future Internet, 13 (8): 203 (2021)Towards Quantifying the Effects of Robotic Process Automation., and . EDOC Workshops, page 11-19. IEEE, (2020)CPD: Crowd-based Pothole Detection., , , and . VEHITS, page 33-42. SciTePress, (2019)Editorial: Smart Mobile Data Collection in the Context of Neuroscience, , , , , and . Frontiers in Neuroscience, (2021)Towards self-configuration and management of e-service provisioning in dynamic value constellations., , , and . SAC, page 566-571. ACM, (2008)Evaluation Patterns for Analyzing the Costs of Enterprise Information Systems., and . CAiSE, volume 5565 of Lecture Notes in Computer Science, page 379-394. Springer, (2009)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)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, 8 (4): 327--338 (Nov 1, 2019)