Johannes Allgaier

According to our database, Johannes Allgaier authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Cross-Validation Visualized: A Narrative Guide to Advanced Methods.

Johannes Allgaier, Rüdiger Pryss

Mach. Learn. Knowl. Extr., June, 2024

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)

Johannes Allgaier

PhD thesis, 2024

2023

How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare.

Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, Rüdiger Pryss

Artif. Intell. Medicine, September, 2023

Self-Assessment of Having COVID-19 With the Corona Check mHealth App.

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

IEEE J. Biomed. Health Informatics, June, 2023

2021

Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic.

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

CoRR, 2021

Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data^*.

Johannes Allgaier, Patrick Neff, Winfried Schlee, Stefan Schoisswohl, Rüdiger Pryss

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Anomaly Detections for Manufacturing Systems Based on Sensor Data - Insights into Two Challenging Real-World Production Settings.

Klaus Kammerer, Burkhard Hoppenstedt, Rüdiger Pryss, Steffen Stökler, Johannes Allgaier, Manfred Reichert

Sensors, 2019