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2020 – today
- 2024
[c5]Dennis Arendes, Yannick Robin
, Johannes Amann, Annika Petto, Andreas Schütze, Christian Bur:
Transfer Learning Between Two Different Datasets of MOS Gas Sensors. ISOEN 2024: 1-3- 2023
- [c4]Yannick Robin, Johannes Amann, Payman Goodarzi, Tizian Schneider, Andreas Schütze, Christian Bur:
Comparison of Explainable Machine Learning Algorithms for Optimization of Virtual Gas Sensor Arrays. I2MTC 2023: 1-6 - [c3]Christopher Schnur, Yannick Robin, Payman Goodarzi, Tanja Dorst, Andreas Schütze, Tizian Schneider:
Development of a bearing test-bed for acquiring data for robust and transferable machine learning. I2MTC 2023: 1-6 - [i1]Payman Goodarzi, Yannick Robin, Andreas Schütze, Tizian Schneider:
Deep convolutional neural networks for cyclic sensor data. CoRR abs/2308.06987 (2023) - 2022
- [c2]Yannick Robin, Johannes Amann, Payman Goodarzi, Andreas Schütze, Christian Bur:
Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors. ISOEN 2022: 1-4 - 2021
- [c1]Yannick Robin, Payman Goodarzi, Tobias Baur, Caroline Schultealbert, Andreas Schütze, Tizian Schneider:
Machine Learning based calibration time reduction for Gas Sensors in Temperature Cycled Operation. I2MTC 2021: 1-6
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