Michael Gebauer

According to our database, Michael Gebauer authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Informed and Assessable Observability Design Decisions in Cloud-Native Microservice Applications.

Maria C. Borges, Joshua Bauer, Sebastian Werner, Michael Gebauer, Stefan Tai

Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

2023

A 'Human-in-the-Loop' approach for Information Extraction from Privacy Policies under Data Scarcity.

Michael Gebauer, Faraz Maschhur, Nicola Leschke, Elias Grünewald, Frank Pallas

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

2022

Bounding open space risk with decoupling autoencoders in open set recognition.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Int. J. Data Sci. Anal., 2022

From Open Set Recognition Towards Robust Multi-class Classification.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Automatic Indexing of Financial Documents via Information Extraction.

Rajkumar Ramamurthy, Max Lübbering, Thiago Bell, Michael Gebauer, Bilge Ulusay, Daniel Uedelhoven, Tim Dilmaghani Khameneh, Rüdiger Loitz, Maren Pielka, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Utilizing Representation Learning for Robust Text Classification Under Datasetshift.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage, Rafet Sifa

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis.

Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Decoupling Autoencoders for Robust One-vs-Rest Classification.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

Supervised Autoencoder Variants for End to End Anomaly Detection.

Max Lübbering, Michael Gebauer, Rajkumar Ramamurthy, Rafet Sifa, Christian Bauckhage

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders.

Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020