Yannick Robin

Orcid: 0000-0002-6558-6554

According to our database1, Yannick Robin authored at least 6 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Transfer Learning Between Two Different Datasets of MOS Gas Sensors.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2024

2023
Deep convolutional neural networks for cyclic sensor data.
CoRR, 2023

Development of a bearing test-bed for acquiring data for robust and transferable machine learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Comparison of Explainable Machine Learning Algorithms for Optimization of Virtual Gas Sensor Arrays.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors.
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.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021


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