| From imbalanced classification to supervised outlier detection problems: adversarially trained auto encoders M Lübbering, R Ramamurthy, M Gebauer, T Bell, R Sifa, C Bauckhage Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 8 | 2020 |
| Decoupling autoencoders for robust one-vs-rest classification M Lübbering, M Gebauer, R Ramamurthy, C Bauckhage, R Sifa 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021 | 6 | 2021 |
| Utilizing Representation Learning for Robust Text Classification Under Datasetshift. M Lübbering, M Gebauer, R Ramamurthy, M Pielka, C Bauckhage, R Sifa LWDA, 157-162, 2021 | 6 | 2021 |
| Supervised autoencoder variants for end to end anomaly detection M Lübbering, M Gebauer, R Ramamurthy, R Sifa, C Bauckhage Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 6 | 2021 |
| Bounding open space risk with decoupling autoencoders in open set recognition M Lübbering, M Gebauer, R Ramamurthy, C Bauckhage, R Sifa International Journal of Data Science and Analytics 14 (4), 351-373, 2022 | 4 | 2022 |
| A ‘Human-in-the-Loop’approach for Information Extraction from Privacy Policies under Data Scarcity M Gebauer, F Maschhur, N Leschke, E Grünewald, F Pallas 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 76-83, 2023 | 3 | 2023 |
| Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. M Lübbering, M Pielka, K Das, M Gebauer, R Ramamurthy, C Bauckhage, ... ESANN, 2021 | 3 | 2021 |
| Automatic indexing of financial documents via information extraction R Ramamurthy, M Lübbering, T Bell, M Gebauer, B Ulusay, ... 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-05, 2021 | 2 | 2021 |
| From open set recognition towards robust multi-class classification M Lübbering, M Gebauer, R Ramamurthy, C Bauckhage, R Sifa International Conference on Artificial Neural Networks, 643-655, 2022 | 1 | 2022 |
