From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders. - Max Lübbering; Rajkumar Ramamurthy; Michael Gebauer; Thiago Bell; Rafet Sifa; Christian Bauckhage (ICANN (1), 2020)

Supervised Autoencoder Variants for End to End Anomaly Detection. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Rafet Sifa; Christian Bauckhage (ICPR Workshops (2), 2020)

Decoupling Autoencoders for Robust One-vs-Rest Classification. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (DSAA, 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 (ESANN, 2021)

Utilizing Representation Learning for Robust Text Classification Under Datasetshift. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Maren Pielka; Christian Bauckhage; Rafet Sifa (LWDA, 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 (SSCI, 2021)

From Open Set Recognition Towards Robust Multi-class Classification. - Max Lübbering; Michael Gebauer; Rajkumar Ramamurthy; Christian Bauckhage; Rafet Sifa (ICANN (3), 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)

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 (EuroS&P Workshops, 2023)

Informed and Assessable Observability Design Decisions in Cloud-Native Microservice Applications. - Maria C. Borges; Joshua Bauer; Sebastian Werner 001; Michael Gebauer; Stefan Tai (ICSA, 2024)