2 papers
cs.LG2022
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection
Benjamin Maschler, Tim Knodel, Michael Weyrich
Industrial transfer learning increases the adaptability of deep learning algorithms towards heterogenous and dynamic industrial use cases without high manual efforts. The appropria…
cs.LG2021
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data
Benjamin Maschler, Tim Knodel, Michael Weyrich
Deep learning promises performant anomaly detection on time-variant datasets, but greatly suffers from low availability of suitable training datasets and frequently changing tasks.…