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Towards the Interpretation of Sound Measurements from Smartphones Collected with Mobile Crowdsensing in the Healthcare Domain: An Experiment with Android Devices., , and . Sensors, 22 (1): 170 (2022)Using conflict-free replicated data types for serverless mobile social applications., , , and . HOTPOST@MobiHoc, page 49-54. ACM, (2016)User-centric vs whole-stream learning for EMA prediction., , , , , , , and . CBMS, page 307-312. IEEE, (2021)Alerts of forest disturbance from MODIS imagery., , and . Int. J. Applied Earth Observation and Geoinformation, (2014)Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments., , , , , , and . CBMS, page 112-117. IEEE Computer Society, (2018)Design and Implementation of a Scalable Crowdsensing Platform for Geospatial Data of Tinnitus Patients., , , , , , , , , and . CBMS, page 294-299. IEEE, (2019)Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform., , , , , , , , , and 2 other author(s). IRI, page 350-355. IEEE, (2019)Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users., , , , , , , , and . Entropy, 23 (12): 1695 (2021)