CONSENSORS: A Neural Network Framework for Sensor Data Analysis. - Burkhard Hoppenstedt; Rüdiger Pryss; Klaus Kammerer; Manfred Reichert (OTM Workshops, 2018)

Convolutional Neural Networks for Image Recognition in Mixed Reality Using Voice Command Labeling. - Burkhard Hoppenstedt; Klaus Kammerer; Manfred Reichert; Myra Spiliopoulou; Rüdiger Pryss (AVR (2), 2019)

Analysis of Fuel Cells Utilizing Mixed Reality and IoT Achievements. - Burkhard Hoppenstedt; Michael Schmid; Klaus Kammerer; Joachim Scholta; Manfred Reichert; Rüdiger Pryss (AVR (2), 2019)

Debugging Quadrocopter Trajectories in Mixed Reality. - Burkhard Hoppenstedt; Thomas Witte; Jona Ruof; Klaus Kammerer; Matthias Tichy; Manfred Reichert; Rüdiger Pryss (AVR (2), 2019)

Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings. - Burkhard Hoppenstedt; Manfred Reichert; Klaus Kammerer; Myra Spiliopoulou; Rüdiger Pryss (EDBT/ICDT Workshops, 2019)

Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform. - Rüdiger Pryss; Winfried Schlee; Manfred Reichert; Ira Kurthen; Nathalie Giroud; Laura Jagoda; Pia Neuschwander; Martin Meyer 001; Patrick Neff; Johannes Schobel; Burkhard Hoppenstedt; Myra Spiliopoulou; et al. (EMBC, 2019)

Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform. - Rüdiger Pryss; Dennis John; Manfred Reichert; Burkhard Hoppenstedt; Lukas Schmid; Winfried Schlee; Myra Spiliopoulou; Johannes Schobel; Robin Kraft; Marc Schickler; Berthold Langguth; Thomas Probst (IRI, 2019)

Applicability of Immersive Analytics in Mixed Reality: Usability Study. - Burkhard Hoppenstedt; Thomas Probst; Manfred Reichert; Winfried Schlee; Klaus Kammerer; Myra Spiliopoulou; Johannes Schobel; Michael Winter 002; Anna Felnhofer; Oswald D. Kothgassner; Rüdiger Pryss (IEEE Access, 2019)

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. - Burkhard Hoppenstedt; Manfred Reichert; Klaus Kammerer; Thomas Probst; Winfried Schlee; Myra Spiliopoulou; Rüdiger Pryss (Sensors, 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)

Detecting Production Phases Based on Sensor Values using 1D-CNNs. - Burkhard Hoppenstedt; Manfred Reichert; Ghada El-Khawaga; Klaus Kammerer; Karl-Michael Winter; Rüdiger Pryss (CoRR, 2020)

Process-Driven and Flow-Based Processing of Industrial Sensor Data. - Klaus Kammerer; Rüdiger Pryss; Burkhard Hoppenstedt; Kevin Sommer; Manfred Reichert (Sensors, 2020)

Applicability of Immersive Analytics in Mixed Reality: Usability Study. - Burkhard Hoppenstedt (IEEE DataPort, 2022)

Datenverständnis in Predictive Maintenance Anwendungen im Zeitalter von Industrie 4.0 - Burkhard Hoppenstedt (2023)

Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing. - Martin Justinus Rosenfelder; Myra Spiliopoulou; Burkhard Hoppenstedt; Rüdiger Pryss; Patrick Fissler; Mario della Piedra Walter; Iris-Tatjana Kolassa; Andreas Bender 003 (Frontiers Comput. Neurosci., 2023)