Yannick Robin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Transfer Learning

Predictive Accuracy

Convolutional Neural Networks

Top Venues

Publications

Dennis Arendes, Yannick Robin, Johannes Amann, Annika Petto, Andreas Schütze, Christian Bur
Transfer Learning Between Two Different Datasets of MOS Gas Sensors. ISOEN (2024)
Payman Goodarzi, Yannick Robin, Andreas Schütze, Tizian Schneider
Deep convolutional neural networks for cyclic sensor data. CoRR (2023)
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)
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)
Yannick Robin, Johannes Amann, Payman Goodarzi, Andreas Schütze, Christian Bur
Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors. ISOEN (2022)
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)