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2020 – today
- 2023
[b1]Benjamin Maschler:
Eine Architektur für maschinelles Transfer-Lernen in industriellen Automatisierungssystemen. University of Stuttgart, Germany, Shaker 2023, ISBN 978-3-8440-9325-4- [i12]Benjamin Maschler:
A Survey on Deep Industrial Transfer Learning in Fault Prognostics. CoRR abs/2301.01705 (2023) - 2022
- [c4]Benjamin Maschler, Tim Knodel, Michael Weyrich:
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection. ETFA 2022: 1-7 - [i11]Benjamin Maschler, Tim Knodel, Michael Weyrich:
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection. CoRR abs/2204.01620 (2022) - [i10]Benjamin Maschler, Angel Iliev, Thi Thu Huong Pham, Michael Weyrich:
Stuttgart Open Relay Degradation Dataset (SOReDD). CoRR abs/2204.01626 (2022) - [i9]Timo Müller, Benjamin Maschler, Daniel Dittler, Nasser Jazdi, Michael Weyrich:
Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management. CoRR abs/2207.01693 (2022) - 2021
- [j2]Benjamin Maschler, Simon Kamm, Michael Weyrich:
Deep industrial transfer learning at runtime for image recognition. Autom. 69(3): 211-220 (2021) - [j1]Benjamin Lindemann, Benjamin Maschler
, Nada Sahlab, Michael Weyrich:
A survey on anomaly detection for technical systems using LSTM networks. Comput. Ind. 131: 103498 (2021) - [c3]Benjamin Maschler, Tim Knodel, Michael Weyrich:
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data. ETFA 2021: 1-8 - [c2]Matthias Weiß, Philipp Marks, Benjamin Maschler, Dustin White, Pascal Kesseli, Michael Weyrich:
Towards establishing formal verification and inductive code synthesis in the PLC domain. INDIN 2021: 1-8 - [i8]Benjamin Maschler, Thi Thu Huong Pham, Michael Weyrich:
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing. CoRR abs/2101.00509 (2021) - [i7]Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, Michael Weyrich:
A Survey on Anomaly Detection for Technical Systems using LSTM Networks. CoRR abs/2105.13810 (2021) - [i6]Benjamin Maschler, Timo Müller, Andreas Löcklin, Michael Weyrich:
Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems. CoRR abs/2105.14730 (2021) - [i5]Benjamin Maschler, Tim Knodel, Michael Weyrich:
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data. CoRR abs/2106.04920 (2021) - [i4]Matthias Weiß, Philipp Marks, Benjamin Maschler, Dustin White, Pascal Kesseli, Michael Weyrich:
Towards establishing formal verification and inductive code synthesis in the PLC domain. CoRR abs/2106.15878 (2021) - [i3]Benjamin Maschler, Sophia Tatiyosyan, Michael Weyrich:
Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries. CoRR abs/2107.03336 (2021) - 2020
- [c1]Benjamin Maschler, Hannes Vietz, Nasser Jazdi, Michael Weyrich:
Continual Learning of Fault Prediction for Turbofan Engines using Deep Learning with Elastic Weight Consolidation. ETFA 2020: 959-966 - [i2]Benjamin Maschler, Dominik Braun, Nasser Jazdi, Michael Weyrich:
Transfer Learning as an Enabler of the Intelligent Digital Twin. CoRR abs/2012.01913 (2020) - [i1]Benjamin Maschler, Michael Weyrich:
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning. CoRR abs/2012.03301 (2020)
Coauthor Index
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