Benjamin Maschler

According to our database, Benjamin Maschler authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Eine Architektur für maschinelles Transfer-Lernen in industriellen Automatisierungssystemen.

Benjamin Maschler

PhD thesis, 2023

A Survey on Deep Industrial Transfer Learning in Fault Prognostics.

Benjamin Maschler

CoRR, 2023

2022

Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management.

Timo Müller, Benjamin Maschler, Daniel Dittler, Nasser Jazdi, Michael Weyrich

CoRR, 2022

Stuttgart Open Relay Degradation Dataset (SOReDD).

Benjamin Maschler, Angel Iliev, Thi Thu Huong Pham, Michael Weyrich

CoRR, 2022

Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection.

Benjamin Maschler, Tim Knodel, Michael Weyrich

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021

Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries.

Benjamin Maschler, Sophia Tatiyosyan, Michael Weyrich

CoRR, 2021

Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems.

Benjamin Maschler, Timo Müller, Andreas Löcklin, Michael Weyrich

CoRR, 2021

Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing.

Benjamin Maschler, Thi Thu Huong Pham, Michael Weyrich

CoRR, 2021

A survey on anomaly detection for technical systems using LSTM networks.

Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, Michael Weyrich

Comput. Ind., 2021

Deep industrial transfer learning at runtime for image recognition.

Benjamin Maschler, Simon Kamm, Michael Weyrich

Autom., 2021

Towards establishing formal verification and inductive code synthesis in the PLC domain.

Matthias Weiß, Philipp Marks, Benjamin Maschler, Dustin White, Pascal Kesseli, Michael Weyrich

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data.

Benjamin Maschler, Tim Knodel, Michael Weyrich

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

2020

Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning.

Benjamin Maschler, Michael Weyrich

CoRR, 2020

Transfer Learning as an Enabler of the Intelligent Digital Twin.

Benjamin Maschler, Dominik Braun, Nasser Jazdi, Michael Weyrich

CoRR, 2020

Continual Learning of Fault Prediction for Turbofan Engines using Deep Learning with Elastic Weight Consolidation.

Benjamin Maschler, Hannes Vietz, Nasser Jazdi, Michael Weyrich

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020