Learning to Predict Component Failures in Trains. - Sebastian Kauschke; Immanuel Schweizer; Michael Fiebrig; Frederik Janssen (LWA, 2014)

On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application. - Sebastian Kauschke; Frederik Janssen; Immanuel Schweizer (LWA, 2015)

Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype. - Sebastian Kauschke; Johannes Fürnkranz; Frederik Janssen (DS, 2016)

Batchwise Patching of Classifiers. - Sebastian Kauschke; Johannes Fürnkranz (AAAI, 2018)

Leveraging Reproduction-Error Representations for Multi-Instance Classification. - Sebastian Kauschke; Max Mühlhäuser; Johannes Fürnkranz (DS, 2018)

More Data Matters: Improving CGM Prediction via Ubiquitous Data and Deep Learning. - Jens Heuschkel; Sebastian Kauschke (UbiComp/ISWC Adjunct, 2018)

UPA'18: 3rd International Workshop on Ubiquitous Personal Assistance. - Christian Meurisch; Philipp M. Scholl; Usman Naeem; Veljko Pejovic; Florian Müller 003; Elena Di Lascio; Pei-Yi (Patricia) Kuo; Sebastian Kauschke; Muhammad Awais Azam; Max Mühlhäuser (UbiComp/ISWC Adjunct, 2018)

Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders. - Sebastian Kauschke; Max Mühlhäuser; Johannes Fürnkranz (ICMLA, 2018)

Towards Neural Network Patching: Evaluating Engagement-Layers and Patch-Architectures. - Sebastian Kauschke; David Hermann Lehmann (CoRR, 2018)

Beta Distribution Drift Detection for Adaptive Classifiers. - Lukas Fleckenstein; Sebastian Kauschke; Johannes Fürnkranz (ESANN, 2019)

Towards Automatic Classification of Common Therapy Errors for Diabetes Therapy Support. - Jens Heuschkel; Sebastian Kauschke; Max Mühlhäuser (GLOBECOM, 2019)

Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches. - Sebastian Kauschke; Lukas Fleckenstein; Johannes Fürnkranz (IJCNN, 2019)

Patching Deep Neural Networks for Nonstationary Environments. - Sebastian Kauschke; David Hermann Lehmann; Johannes Fürnkranz (IJCNN, 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 (MobiQuitous, 2019)

Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains. - Sebastian Kauschke (2019)