Browse by Projects

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Baloi, Jhoiss (2020) Statistical Analysis and Clustering of Tinnitus related Data with respect to the perceived Symptoms. Masters thesis, Ulm University.

Bouzaida, Hiba (2020) Conceptualization and Realization of a Database Migration Path for an International and mHealth Tinnitus Database. Bachelor thesis, Ulm University.

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Förster, Patrick (2020) How to Deal with Inaccurate Sensor Data? Masters thesis, Ulm University.

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Gabler, Chris (2020) Shades Of Noise: Konzeption und Realisierung einer mobilen Interventionsapp zur Unterstützung von Tinnituspatienten mithilfe gezielter auditorischer Stimulation. Bachelor thesis, Ulm University.

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Heinle, Jeremia (2020) mHealth Crowdsensing Cloud-Lösung - mHealth Crowdsensing Cloud-Lösungs-Konzept für TrackYourTinnitus. Bachelor thesis, Ulm University.

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Karakaya, Selda (2020) Konzeption und Realisierung einer modernen Benutzeroberfläche für mHealth Apps zur Unterstützung hörgeschädigter Patienten. Masters thesis, Ulm University.

Kraft, Robin and Stach, Michael and Reichert, Manfred and Schlee, Winfried and Probst, Thomas and Langguth, Berthold and Schickler, Marc and Baumeister, Harald and Pryss, Rüdiger (2020) Comprehensive insights into the TrackYourTinnitus database. In: 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), 9-12 August 2020, Leuven, Belgium.

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Mehdi, Muntazir and Riha, Constanze and Neff, Patrick and Dode, Albi and Pryss, Rüdiger and Schlee, Winfried and Reichert, Manfred and Hauck, Franz J (2020) Smartphone Apps in the Context of Tinnitus: Systematic Review. Sensors, 20 (6). p. 1725. ISSN 1424-8220

Mehdi, Muntazir and Stach, Michael and Riha, Constanze and Neff, Patrick and Dode, Albi and Pryss, Rüdiger and Schlee, Winfried and Reichert, Manfred and Hauck, Franz J (2020) Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment. JMIR Mhealth Uhealth, 8 (8). e21767. ISSN 2291-5222

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Pryss, Rüdiger and Schlee, Winfried and Hoppenstedt, Burkhard and Reichert, Manfred and Spiliopoulou, Myra and Langguth, Berthold and Breitmayer, Marius and Probst, Thomas (2020) Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study. J Med Internet Res, 22 (6). ISSN 1438-8871

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Unnikrishnan, Vishnu and Beyer, Christian and Matuszyk, Pawel and Niemann, Uli and Pryss, Rüdiger and Schlee, Winfried and Ntoutsi, Eirini and Spiliopoulou, Myra (2020) Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. International Journal of Data Science and Analytics, 9 . pp. 1-15.