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ORCIDJohannes Allgaier
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Books and Theses
- 2024
[b1]Johannes Allgaier:
Machine Learning Explainability on Multi-Modal Data using Ecological Momentary Assessments in the Medical Domain (Erklärbarkeit von maschinellem Lernen unter Verwendung multi-modaler Daten und Ecological Momentary Assessments im medizinischen Sektor). Würzburg University, Germany, 2024
Journal Articles
- 2024
- [j4]Johannes Allgaier
, Rüdiger Pryss:
Cross-Validation Visualized: A Narrative Guide to Advanced Methods. Mach. Learn. Knowl. Extr. 6(2): 1378-1388 (2024) - 2023
- [j3]Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, Rüdiger Pryss:
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare. Artif. Intell. Medicine 143: 102616 (2023) - [j2]Felix Beierle, Johannes Allgaier, Carolin Stupp, Thomas Keil, Winfried Schlee, Johannes Schobel, Carsten Vogel, Fabian Haug, Julian Haug, Marc Holfelder, Berthold Langguth, Jana Langguth, Burgi Riens, Ryan King, Lena Mulansky, Marc Schickler, Michael Stach, Peter Heuschmann, Manfred Wildner, Helmut Greger, Manfred Reichert, Hans A. Kestler, Rüdiger Pryss:
Self-Assessment of Having COVID-19 With the Corona Check mHealth App. IEEE J. Biomed. Health Informatics 27(6): 2794-2805 (2023) - 2019
- [j1]Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, Manfred Reichert:
Anomaly Detections for Manufacturing Systems Based on Sensor Data - Insights into Two Challenging Real-World Production Settings. Sensors 19(24): 5370 (2019)
Conference and Workshop Papers
- 2021
- [c1]Johannes Allgaier, Patrick Neff, Winfried Schlee, Stefan Schoisswohl, Rüdiger Pryss:
Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data*. EMBC 2021: 816-819
Informal and Other Publications
- 2021
- [i1]Felix Beierle, Johannes Schobel, Carsten Vogel, Johannes Allgaier, Lena Mulansky, Fabian Haug, Julian Haug, Winfried Schlee, Marc Holfelder, Michael Stach, Marc Schickler, Harald Baumeister, Caroline Cohrdes, Jürgen Deckert, Lorenz Deserno, Johanna-Sophie Edler, Felizitas A. Eichner, Helmut Greger, Grit Hein, Peter Heuschmann, Dennis John, Hans A. Kestler, Dagmar Krefting, Berthold Langguth, Patrick Meybohm, Thomas Probst, Manfred Reichert, Marcel Romanos, Stefan Störk, Yannik Terhorst, Martin Weiß, Rüdiger Pryss:
Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. CoRR abs/2106.03386 (2021)
Coauthor Index
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last updated on 2024-10-16 21:26 CEST by the dblp team
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