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ORCIDTizian Schneider
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Books and Theses
- 2024
[b1]Tizian Schneider:
On automatic machine learning for industrial condition monitoring. Saarland University, Saarbrücken, Germany, 2024
Journal Articles
- 2022
- [j1]Christopher Schnur
, Payman Goodarzi, Yevgeniya Lugovtsova, Jannis Bulling, Jens Prager, Kilian Tschöke, Jochen Moll, Andreas Schütze, Tizian Schneider:
Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves. Sensors 22(1): 406 (2022)
Conference and Workshop Papers
- 2024
- [c9]Sebastian Pültz, Torsten Bley, Tizian Schneider, Andreas Schütze:
Qualification of an IR Test Bench for Hydrogen Quality at High Pressure. I2MTC 2024: 1-5 - [c8]Julian Schauer, Payman Goodarzi, Andreas Schütze, Tizian Schneider:
Deep Neural Network Representation for Explainable Machine Learning Algorithms: A Method for Hardware Acceleration. I2MTC 2024: 1-6 - 2023
- [c7]Payman Goodarzi, Steffen Klein, Andreas Schütze, Tizian Schneider:
Comparing Different Feature Extraction Methods in Condition Monitoring Applications. I2MTC 2023: 1-6 - [c6]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 - [c5]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 - 2021
- [c4]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 - 2019
- [c3]Tanja Dorst, Björn Ludwig, Sascha Eichstädt, Tizian Schneider, Andreas Schütze:
Metrology for the factory of the future: towards a case study in condition monitoring. I2MTC 2019: 1-5 - [c2]Tizian Schneider, Steffen Klein, Anne Blum, Leonie Schirmer, Rainer Müller, Andreas Schütze:
Combination of Human and Machine Intelligence to Optimize Assembly. SA 2019: 1-4 - 2018
- [c1]Tizian Schneider, Nikolai Helwig, Andreas Schütze:
Automatic feature extraction and selection for condition monitoring and related datasets. I2MTC 2018: 1-6
Informal and Other Publications
- 2023
- [i2]Payman Goodarzi, Yannick Robin, Andreas Schütze, Tizian Schneider:
Deep convolutional neural networks for cyclic sensor data. CoRR abs/2308.06987 (2023) - [i1]Payman Goodarzi, Andreas Schütze, Tizian Schneider:
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios. CoRR abs/2308.14632 (2023)
Coauthor Index
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