5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 5 cited
Towards Neural Network Patching: Evaluating Engagement-Layers and Patch-Architectures
Sebastian Kauschke, David Hermann Lehmann
In this report we investigate fundamental requirements for the application of classifier patching on neural networks. Neural network patching is an approach for adapting neural net…
cs.LG2018
Beta Distribution Drift Detection for Adaptive Classifiers
Lukas Fleckenstein, Sebastian Kauschke, Johannes Fürnkranz
With today's abundant streams of data, the only constant we can rely on is change. For stream classification algorithms, it is necessary to adapt to concept drift. This can be achi…