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ORCIDTobias Schlagenhauf
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2020 – today
- 2026
[j4]Wanlin Yang
, Haowei Chen, Tobias Schlagenhauf, Zhenzhen Li, Zhuo Zou:
FeDMus: Federated Dynamic Example Mining for Unlabeled Sensor Data in Industrial Automation. IEEE Trans Autom. Sci. Eng. 23: 3388-3398 (2026)- [i12]Pascal Janetzky, Tobias Schlagenhauf, Stefan Feuerriegel:
Continual Learning of Domain-Invariant Representations. CoRR abs/2605.15775 (2026) - 2025
- [j3]Alexander Schultheis, Benjamin Alt, Sebastian Bast, Achim Guldner, David Jilg, Darko Katic, Johannes Mundorf, Tobias Schlagenhauf, Sebastian Weber, Ralph Bergmann, Simon Bergweiler, Lars Creutz, Guido Dartmann, Lukas Malburg, Stefan Naumann, Mahdi Rezapour, Martin Ruskowski:
EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing. Künstliche Intell. 39(2): 161-166 (2025) - [c2]Jiaqi Wang, Tobias Schlagenhauf, Setareh Maghsudi:
Federated Learning with Heterogeneous Feature Adaptation for Human Activity Recognition. ICASSP 2025: 1-5 - [i11]Zheng Wang, Kaixuan Zhang, Wanfang Chen, Xiaonan Lu, Longyuan Li, Tobias Schlagenhauf:
Characteristic Root Analysis and Regularization for Linear Time Series Forecasting. CoRR abs/2509.23597 (2025) - 2024
- [i10]Pascal Janetzky, Tobias Schlagenhauf, Stefan Feuerriegel:
Slowing Down Forgetting in Continual Learning. CoRR abs/2411.06916 (2024) - 2023
- [j2]Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack:
Discriminative feature learning through feature distance loss. Mach. Vis. Appl. 34(2): 25 (2023) - 2022
- [j1]Tobias Schlagenhauf, Jan Wolf, Alexander Puchta:
Convolutional-Based Encoder-Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5. Data 7(12): 175 (2022) - [c1]Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner:
Siamese Basis Function Networks for Data-Efficient Defect Classification in Technical Domains. SEFM Workshops 2022: 71-92 - [i9]Tobias Schlagenhauf, Markus Netzer, Jan Hillinger:
Text Detection on Technical Drawings for the Digitization of Brown-field Processes. CoRR abs/2205.02659 (2022) - [i8]Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack:
Discriminative Feature Learning through Feature Distance Loss. CoRR abs/2205.11606 (2022) - [i7]Tobias Schlagenhauf, Tim Scheurenbrand:
Cross-domain Transfer of defect features in technical domains based on partial target data. CoRR abs/2211.13662 (2022) - 2021
- [i6]Tobias Schlagenhauf, Magnus Landwehr, Jürgen Fleischer:
Industrial Machine Tool Component Surface Defect Dataset. CoRR abs/2103.13003 (2021) - [i5]Tobias Schlagenhauf, Niklas Burghardt, Jürgen Fleischer:
Intelligent Vision Based Wear Forecasting on Surfaces of Machine Tool Elements. CoRR abs/2106.06839 (2021) - 2020
- [i4]Tobias Schlagenhauf, Yefeng Xia, Jürgen Fleischer:
Context-based Image Segment Labeling (CBISL). CoRR abs/2011.00784 (2020) - [i3]Tobias Schlagenhauf, Chenwei Sun, Jürgen Fleischer:
GAN based ball screw drive picture database enlargement for failure classification. CoRR abs/2011.10235 (2020) - [i2]Tobias Schlagenhauf, Tim Brander, Jürgen Fleischer:
A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components. CoRR abs/2012.00308 (2020) - [i1]Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner, Jürgen Fleischer:
Siamese Basis Function Networks for Defect Classification. CoRR abs/2012.01338 (2020)
Coauthor Index
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