Benjamin Maschler

19 papers C 4Journal 14

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A Survey on Deep Industrial Transfer Learning in Fault Prognostics. CoRR Benjamin Maschler
2023	—	`—`	Eine Architektur für maschinelles Transfer-Lernen in industriellen Automatisierungssystemen. Benjamin Maschler
2022	J	`jnl`	Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management. CoRR Timo Müller, Benjamin Maschler, Daniel Dittler, Nasser Jazdi, Michael Weyrich
2022	J	`jnl`	Stuttgart Open Relay Degradation Dataset (SOReDD). CoRR Benjamin Maschler, Angel Iliev, Thi Thu Huong Pham, Michael Weyrich
2022	C	`conf`	Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection. ETFA Benjamin Maschler, Tim Knodel, Michael Weyrich
2022	J	`jnl`	Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection. CoRR Benjamin Maschler, Tim Knodel, Michael Weyrich
2021	J	`jnl`	A Survey on Anomaly Detection for Technical Systems using LSTM Networks. CoRR Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, Michael Weyrich
2021	J	`jnl`	A survey on anomaly detection for technical systems using LSTM networks. Comput. Ind. Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, Michael Weyrich
2021	J	`jnl`	Deep industrial transfer learning at runtime for image recognition. Autom. Benjamin Maschler, Simon Kamm, Michael Weyrich
2021	J	`jnl`	Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing. CoRR Benjamin Maschler, Thi Thu Huong Pham, Michael Weyrich
2021	J	`jnl`	Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries. CoRR Benjamin Maschler, Sophia Tatiyosyan, Michael Weyrich
2021	C	`conf`	Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data. ETFA Benjamin Maschler, Tim Knodel, Michael Weyrich
2021	J	`jnl`	Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data. CoRR Benjamin Maschler, Tim Knodel, Michael Weyrich
2021	C	`conf`	Towards establishing formal verification and inductive code synthesis in the PLC domain. INDIN Matthias Weiß, Philipp Marks, Benjamin Maschler, Dustin White, Pascal Kesseli, Michael Weyrich
2021	J	`jnl`	Towards establishing formal verification and inductive code synthesis in the PLC domain. CoRR Matthias Weiß, Philipp Marks, Benjamin Maschler, Dustin White, Pascal Kesseli, Michael Weyrich
2021	J	`jnl`	Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems. CoRR Benjamin Maschler, Timo Müller, Andreas Löcklin, Michael Weyrich
2020	C	`conf`	Continual Learning of Fault Prediction for Turbofan Engines using Deep Learning with Elastic Weight Consolidation. ETFA Benjamin Maschler, Hannes Vietz, Nasser Jazdi, Michael Weyrich
2020	J	`jnl`	Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning. CoRR Benjamin Maschler, Michael Weyrich
2020	J	`jnl`	Transfer Learning as an Enabler of the Intelligent Digital Twin. CoRR Benjamin Maschler, Dominik Braun, Nasser Jazdi, Michael Weyrich