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Disambiguation of "Pryss, Rüdiger"

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Studying the Potential of Multi-Target Classification on Patient Screening Data to Predict Dropout Cases

, , , , , , , and . Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), page 239-243. (2018)

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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)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)Anomaly Detections for Manufacturing Systems Based on Sensor Data - Insights into Two Challenging Real-World Production Settings., , , , , and . Sensors, 19 (24): 5370 (2019)Ambalytics: A Scalable and Distributed System Architecture Concept for Bibliometric Network Analyses., , , and . Future Internet, 13 (8): 203 (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)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)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)