Sebastian Kauschke

According to our database, Sebastian Kauschke authored at least 15 papers between 2014 and 2019.

Collaborative distances:

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

2019

Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains.

Sebastian Kauschke

PhD thesis, 2019

{P}Net: privacy-preserving personalization of AI-based models by anonymous inter-person similarity networks.

Christian Meurisch, Sebastian Kauschke, Tim Grube, Bekir Bayrak, Max Mühlhäuser

Proceedings of the MobiQuitous 2019, 2019

Patching Deep Neural Networks for Nonstationary Environments.

Sebastian Kauschke, David Hermann Lehmann, Johannes Fürnkranz

Proceedings of the International Joint Conference on Neural Networks, 2019

Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches.

Sebastian Kauschke, Lukas Fleckenstein, Johannes Fürnkranz

Proceedings of the International Joint Conference on Neural Networks, 2019

Towards Automatic Classification of Common Therapy Errors for Diabetes Therapy Support.

Jens Heuschkel, Sebastian Kauschke, Max Mühlhäuser

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Beta Distribution Drift Detection for Adaptive Classifiers.

Lukas Fleckenstein, Sebastian Kauschke, Johannes Fürnkranz

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Towards Neural Network Patching: Evaluating Engagement-Layers and Patch-Architectures.

Sebastian Kauschke, David Hermann Lehmann

CoRR, 2018

Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders.

Sebastian Kauschke, Max Mühlhäuser, Johannes Fürnkranz

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

UPA'18: 3rd International Workshop on Ubiquitous Personal Assistance.

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

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

More Data Matters: Improving CGM Prediction via Ubiquitous Data and Deep Learning.

Jens Heuschkel, Sebastian Kauschke

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Leveraging Reproduction-Error Representations for Multi-Instance Classification.

Sebastian Kauschke, Max Mühlhäuser, Johannes Fürnkranz

Proceedings of the Discovery Science - 21st International Conference, 2018

Batchwise Patching of Classifiers.

Sebastian Kauschke, Johannes Fürnkranz

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype.

Sebastian Kauschke, Johannes Fürnkranz, Frederik Janssen

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.

Sebastian Kauschke, Frederik Janssen, Immanuel Schweizer

Proceedings of the LWA 2015 Workshops: KDML, 2015

2014

Learning to Predict Component Failures in Trains.

Sebastian Kauschke, Immanuel Schweizer, Michael Fiebrig, Frederik Janssen

Proceedings of the 16th LWA Workshops: KDML, 2014