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ORCIDSebastian Kauschke
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2010 – 2019
- 2019
[b1]Sebastian Kauschke:
Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains. Darmstadt University of Technology, Germany, 2019- [c13]Lukas Fleckenstein, Sebastian Kauschke, Johannes Fürnkranz:
Beta Distribution Drift Detection for Adaptive Classifiers. ESANN 2019 - [c12]Jens Heuschkel, Sebastian Kauschke, Max Mühlhäuser:
Towards Automatic Classification of Common Therapy Errors for Diabetes Therapy Support. GLOBECOM 2019: 1-6 - [c11]Sebastian Kauschke, Lukas Fleckenstein, Johannes Fürnkranz
:
Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches. IJCNN 2019: 1-8 - [c10]Sebastian Kauschke, David Hermann Lehmann, Johannes Fürnkranz:
Patching Deep Neural Networks for Nonstationary Environments. IJCNN 2019: 1-8 - [c9]Christian Meurisch, Sebastian Kauschke, Tim Grube, Bekir Bayrak, Max Mühlhäuser:
{P}Net: privacy-preserving personalization of AI-based models by anonymous inter-person similarity networks. MobiQuitous 2019: 60-69 - 2018
- [c8]Sebastian Kauschke, Johannes Fürnkranz:
Batchwise Patching of Classifiers. AAAI 2018: 3374-3381 - [c7]Sebastian Kauschke, Max Mühlhäuser, Johannes Fürnkranz:
Leveraging Reproduction-Error Representations for Multi-Instance Classification. DS 2018: 83-95 - [c6]Christian Meurisch, Philipp M. Scholl, Usman Naeem, Veljko Pejovic, Florian Müller, Elena Di Lascio, Pei-Yi (Patricia) Kuo, Sebastian Kauschke, Muhammad Awais Azam, Max Mühlhäuser:
UPA'18: 3rd International Workshop on Ubiquitous Personal Assistance. UbiComp/ISWC Adjunct 2018: 766-769 - [c5]Jens Heuschkel, Sebastian Kauschke:
More Data Matters: Improving CGM Prediction via Ubiquitous Data and Deep Learning. UbiComp/ISWC Adjunct 2018: 809-816 - [c4]Sebastian Kauschke, Max Mühlhäuser, Johannes Fürnkranz:
Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders. ICMLA 2018: 131-136 - [i2]Lukas Fleckenstein, Sebastian Kauschke, Johannes Fürnkranz:
Beta Distribution Drift Detection for Adaptive Classifiers. CoRR abs/1811.10900 (2018) - [i1]Sebastian Kauschke, David Hermann Lehmann:
Towards Neural Network Patching: Evaluating Engagement-Layers and Patch-Architectures. CoRR abs/1812.03468 (2018) - 2016
- [c3]Sebastian Kauschke, Johannes Fürnkranz, Frederik Janssen:
Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype. DS 2016: 151-166 - 2015
- [c2]Sebastian Kauschke, Frederik Janssen, Immanuel Schweizer:
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application. LWA 2015: 121-132 - 2014
- [c1]Sebastian Kauschke, Immanuel Schweizer, Michael Fiebrig, Frederik Janssen:
Learning to Predict Component Failures in Trains. LWA 2014: 71-82
Coauthor Index
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