Dr. Felix Beierle

• [ 2023 ]
• [ 2022 ]
• [ 2021 ]
• [ 2020 ]

• Beierle F, Allgaier J, Stupp C, Keil T, Schlee W, Schobel J, Vogel C, Haug F, Haug J, Holfelder M, Langguth B, Langguth J, Riens B, King R, Mulansky L, Schickler M, Stach M, Heuschmann P, Wildner M, Greger H, Reichert M, Kestler HA, Pryss R. Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform. 2023;Pp.
  • [ DOI ]

• Mulansky L, Pryss R, Cohrdes C, Baumeister H, Beierle F. Social Media App Usage in Relation with PHQ-9 Depression Scores during the COVID-19 Pandemic. In: Proc. of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing. UbiComp/ISWC ’22 Adjunct; 2022.
  • [ DOI ]
• Sommer KK, Amr A, Bavendiek U, Beierle F, Brunecker P, Dathe H, Eils J, Ertl M, Fette G, Gietzelt M, Heidecker B, Hellenkamp K, Heuschmann P, Hoos JDE, Kesztyüs T, Kerwagen F, Kindermann A, Krefting D, Landmesser U, Marschollek M, Meder B, Merzweiler A, Prasser F, Pryss R, Richter J, Schneider P, Störk S, Dieterich C. Structured, Harmonized, and Interoperable Integration of Clinical Routine Data to Compute Heart Failure Risk Scores. Life [Internet]. 2022;12(5):749. Available from: https://www.mdpi.com/2075-1729/12/5/749
• Katsarou K, Yu G, Beierle F. WhatsNextApp: LSTM-Based Next-App Prediction With App Usage Sequences. IEEE Access. 2022;10:18233-47.
  • [ DOI ]
• Dinh-Tuan H, Beierle F. MS2M: A message-based approach for live stateful microservices migration. In: Proc. 5th Conference on Cloud and Internet of Things (CIoT). IEEE; 2022. pp. 100-7.
  • [ DOI ]

• Vogel C, Pryss R, Schobel J, Schlee W, Beierle F. Developing apps for researching the covid-19 pandemic with the trackyourhealth platform. In: 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft). IEEE; 2021. pp. 65-8.
  • [ DOI ]
• Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, Haug J, Schlee W, Holfelder M, Stach M, Schickler M, Baumeister H, Cohrdes C, Deckert J, Deserno L, Edler JS, Eichner FA, Greger H, Hein G, Heuschmann P, John D, Kestler HA, Krefting D, Langguth B, Meybohm P, Probst T, Reichert M, Romanos M, Störk S, Terhorst Y, Weiß M, Pryss R. Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health [Internet]. 2021;18(14):7395. Available from: https://www.mdpi.com/1660-4601/18/14/7395
• Beierle F, Dinh-Tuan H, Wu Y. Demonstrator Game Showcasing Indoor Positioning via BLE Signal Strength. In: 17th International Conference on Mobility, Sensing and Networking (MSN). IEEE; 2021. pp. 679-80.
  • [ DOI ]
• Beierle F, Dhakal U, Cohrdes C, Eicher S, Pryss R. Public perception of the German COVID-19 contact-tracing app corona-warn-app. In: 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). IEEE; 2021. pp. 342-7.
  • [ DOI ]
• Beierle F. Integrating Psychoinformatics with Ubiquitous Social Networking: Advanced Mobile-Sensing Concepts and Applications. Springer; 2021.
  • [ DOI ]

• Beierle F, Probst T, Allemand M, Zimmermann J, Pryss R, Neff P, Schlee W, Stieger S, Budimir S. Frequency and duration of daily smartphone usage in relation to personality traits. Digital Psychology. 2020;1(1):20-8.
  • [ DOI ]
• Beierle F, Tran VT, Allemand M, Neff P, Schlee W, Probst T, Zimmermann J, Pryss R. What data are smartphone users willing to share with researchers?: Designing and evaluating a privacy model for mobile data collection apps. Journal of Ambient Intelligence and Humanized Computing. 2020;11:2277–2289.
  • [ DOI ]