( en | de | ru )

 

Disambiguation of "Pryss, Rüdiger"

Author of the publication

copydeleteadd this publication to your clipboard
Prediction meets time series with gaps: User clusters with specific usage behavior patterns.

, , , , , and . Artif. Intell. Medicine, (August 2023)

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, (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)Editorial: Smart Mobile Data Collection in the Context of Neuroscience, , , , , and . Frontiers in Neuroscience, (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)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)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)Combining Mobile Crowdsensing and Ecological Momentary Assessments in the Healthcare Domain, , , , , , , , and . Frontiers in Neuroscience, (2020)Towards measuring and quantifying the comprehensibility of process models: the process model comprehension framework., , , and . Inf. Syst. E Bus. Manag., 21 (3): 723-751 (September 2023)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)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)