Benjamin Maschler

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 18

Top Topics

Text Categorization

Transfer Learning

Manifold Alignment

Top Venues

Publications

Benjamin Maschler
A Survey on Deep Industrial Transfer Learning in Fault Prognostics. CoRR (2023)
Benjamin Maschler, Tim Knodel, Michael Weyrich
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection. CoRR (2022)
Benjamin Maschler, Tim Knodel, Michael Weyrich
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection. ETFA (2022)
Benjamin Maschler, Angel Iliev, Thi Thu Huong Pham, Michael Weyrich
Stuttgart Open Relay Degradation Dataset (SOReDD). CoRR (2022)
Timo Müller, Benjamin Maschler, Daniel Dittler, Nasser Jazdi, Michael Weyrich
Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management. CoRR (2022)
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)
Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, Michael Weyrich
A Survey on Anomaly Detection for Technical Systems using LSTM Networks. CoRR (2021)
Benjamin Maschler, Timo Müller, Andreas Löcklin, Michael Weyrich
Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems. CoRR (2021)
Benjamin Maschler, Tim Knodel, Michael Weyrich
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data. ETFA (2021)
Benjamin Maschler, Thi Thu Huong Pham, Michael Weyrich
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing. CoRR (2021)
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 (2021)
Benjamin Maschler, Simon Kamm, Michael Weyrich
Deep industrial transfer learning at runtime for image recognition. Autom. 69 (3) (2021)
Benjamin Maschler, Tim Knodel, Michael Weyrich
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data. CoRR (2021)
Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, Michael Weyrich
A survey on anomaly detection for technical systems using LSTM networks. Comput. Ind. 131 (2021)
Benjamin Maschler, Sophia Tatiyosyan, Michael Weyrich
Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries. CoRR (2021)
Benjamin Maschler, Michael Weyrich
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning. CoRR (2020)
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)
Benjamin Maschler, Dominik Braun, Nasser Jazdi, Michael Weyrich
Transfer Learning as an Enabler of the Intelligent Digital Twin. CoRR (2020)