| 2023 | DIS | Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. | Christoph Sandrock, Marek Herde, Daniel Kottke, Bernhard Sick |
| 2021 | DIS | Statistical Analysis of Pairwise Connectivity. | Georg Krempl, Daniel Kottke, Tuan Pham |
| 2020 | ICPR | Multi-Annotator Probabilistic Active Learning. | Marek Herde, Daniel Kottke, Denis Huseljic, Bernhard Sick |
| 2020 | ICPR | Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks. | Denis Huseljic, Bernhard Sick, Marek Herde, Daniel Kottke |
| 2020 | IJCNN | Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. | Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick |
| 2019 | IJCNN | Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. | Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick |
| 2018 | IJCNN | Active Learning With Realistic Data - A Case Study. | Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick |
| 2018 | IJCNN | Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. | Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick |
| 2018 | IJCNN | The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. | Daniel Kottke, Adrian Calma, Denis Huseljic, Christoph Sandrock, George Kachergis, Bernhard Sick |
| 2016 | ECAI | Multi-Class Probabilistic Active Learning. | Daniel Kottke, Georg Krempl, Dominik Lang, Johannes Teschner, Myra Spiliopoulou |
| 2015 | IDA | Probabilistic Active Learning in Datastreams. | Daniel Kottke, Georg Krempl, Myra Spiliopoulou |
| 2014 | DIS | Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. | Georg Krempl, Daniel Kottke, Myra Spiliopoulou |
| 2014 | ECAI | Probabilistic Active Learning: A Short Proposition. | Georg Krempl, Daniel Kottke, Myra Spiliopoulou |