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2020 – today
- 2024
[j1]Peng Yan
, Ahmed Abdulkadir, Paul-Philipp Luley, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann:
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. IEEE Access 12: 3768-3789 (2024)- 2023
- [i2]Peng Yan, Ahmed Abdulkadir, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann:
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. CoRR abs/2307.05638 (2023) - 2021
- [c2]Niclas Simmler, Pascal Sager, Philipp Andermatt, Ricardo Chavarriaga, Frank-Peter Schilling, Matthias Rosenthal, Thilo Stadelmann:
A Survey of Un-, Weakly-, and Semi-Supervised Learning Methods for Noisy, Missing and Partial Labels in Industrial Vision Applications. SDS 2021: 26-31 - 2020
- [i1]Amin Mazloumian, Matthias Rosenthal, Hans Gelke:
Deep Learning for Classifying Food Waste. CoRR abs/2002.03786 (2020)
2000 – 2009
- 2004
- [c1]Renato S. Pellegrini, Matthias Rosenthal:
Wave field synthesis with synchronous distributed signal processing. MMSP 2004: 227-230
1990 – 1999
- 1997
- [b1]Matthias Rosenthal:
Concept and design of a reconfigurable parallel processing system for digital audio. ETH Zurich, Hartung-Gorre 1997, ISBN 3-89649-158-X, pp. 1-132
Coauthor Index
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