( en | de | ru )

 

Disambiguation of "Pryss, Rüdiger"

Author of the publication

copydeleteadd this publication to your clipboard
Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform.

, , , , , , , , , , , and . IRI, page 350-355. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Rüdiger Pryss

Christoph Pryss

Rüdiger Pryss

Ann-Kathrin Pryss

Rüdiger Grote

Process-based modeling of volatile organic compound emission from forest canopies. TU München, habilitation, (2009)
 

Other publications of authors with the same name

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)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)How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare., , , and . Artif. Intell. Medicine, (September 2023)Dealing With Inaccurate Sensor Data in the Context of Mobile Crowdsensing and mHealth., , , and . IEEE J. Biomed. Health Informatics, 26 (11): 5439-5449 (2022)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)A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data., , , , , , and . IDA, volume 13876 of Lecture Notes in Computer Science, page 459-471. Springer, (2023)Motivating Developers to Use Interoperable Standards for Data in Pandemic Health Apps., , , , , , , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 1027-1028. IOS Press, (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)