Machine Learning based calibration time reduction for Gas Sensors in Temperature Cycled Operation. - Yannick Robin; Payman Goodarzi; Tobias Baur 002; Caroline Schultealbert; Andreas Schütze; Tizian Schneider (I2MTC, 2021)

Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors. - Yannick Robin; Johannes Amann; Payman Goodarzi; Andreas Schütze; Christian Bur (ISOEN, 2022)

Comparison of Explainable Machine Learning Algorithms for Optimization of Virtual Gas Sensor Arrays. - Yannick Robin; Johannes Amann; Payman Goodarzi; Tizian Schneider; Andreas Schütze; Christian Bur (I2MTC, 2023)

Development of a bearing test-bed for acquiring data for robust and transferable machine learning. - Christopher Schnur; Yannick Robin; Payman Goodarzi; Tanja Dorst; Andreas Schütze; Tizian Schneider (I2MTC, 2023)

Deep convolutional neural networks for cyclic sensor data. - Payman Goodarzi; Yannick Robin; Andreas Schütze; Tizian Schneider (CoRR, 2023)

Transfer Learning Between Two Different Datasets of MOS Gas Sensors. - Dennis Arendes; Yannick Robin; Johannes Amann; Annika Petto; Andreas Schütze; Christian Bur (ISOEN, 2024)