Yannick Robin

According to our database, Yannick Robin authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Transfer Learning Between Two Different Datasets of MOS Gas Sensors.

Dennis Arendes, Yannick Robin, Johannes Amann, Annika Petto, Andreas Schütze, Christian Bur

Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2024

2023

Deep convolutional neural networks for cyclic sensor data.

Payman Goodarzi, Yannick Robin, Andreas Schütze, Tizian Schneider

CoRR, 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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022

Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors.

Yannick Robin, Johannes Amann, Payman Goodarzi, Andreas Schütze, Christian Bur

Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022

2021

Machine Learning based calibration time reduction for Gas Sensors in Temperature Cycled Operation.

Yannick Robin, Payman Goodarzi, Tobias Baur, Caroline Schultealbert, Andreas Schütze, Tizian Schneider

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021