| 2022 | IC3K | Situational Question Answering using Memory Nets. | Joerg Deigmoeller, Pavel Smirnov, Viktor Losing, Chao Wang, Johane Takeuchi, Julian Eggert |
| 2020 | IJCNN | Randomizing the Self-Adjusting Memory for Enhanced Handling of Concept Drift. | Viktor Losing, Barbara Hammer, Heiko Wersing, Albert Bifet |
| 2020 | IROS | Personalized Online Learning with Pseudo-Ground Truth. | Viktor Losing, Martina Hasenjger, Taizo Yoshikawa |
| 2019 | ICRA | Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. | Viktor Losing, Taizo Yoshikawa, Martina Hasenjger, Barbara Hammer, Heiko Wersing |
| 2018 | ICDM | Enhancing Very Fast Decision Trees with Local Split-Time Predictions. | Viktor Losing, Heiko Wersing, Barbara Hammer |
| 2017 | IJCAI | Self-Adjusting Memory: How to Deal with Diverse Drift Types. | Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2016 | ESANN | Choosing the best algorithm for an incremental on-line learning task. | Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2016 | ICDM | KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. | Viktor Losing, Barbara Hammer, Heiko Wersing |
| 2015 | IJCNN | Interactive online learning for obstacle classification on a mobile robot. | Viktor Losing, Barbara Hammer, Heiko Wersing |