| Do we really need all those rich linguistic features? a neural network-based approach to implicit sense labeling N Schenk, C Chiarcos, K Donandt, S Rönnqvist, E Stepanov, G Riccardi Proceedings of the CoNLL-16 shared task, 41-49, 2016 | 27 | 2016 |
| Translation inference through multi-lingual word embedding similarity K Donandt, C Chiarcos | 13 | 2019 |
| Short-term inland vessel trajectory prediction with encoder-decoder models K Donandt, K Böttger, D Söffker 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 9 | 2022 |
| Using Machine Learning for Translation Inference Across Dictionaries. K Donandt, C Chiarcos, M Ionov LDK Workshops, 103-112, 2017 | 9 | 2017 |
| Towards LLOD-based language contact studies: a case study in interoperability C Chiarcos, K Donandt, H Sargsian, M Ionov, J Wichers Schreur | 5 | 2018 |
| Universal Morphologies for the Caucasus region C Chiarcos, H Sargsian, J Wichers Schreur, F Abromeit, C Fäth, ... | 3 | 2018 |
| Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach K Donandt, D Söffker arXiv preprint arXiv:2406.02344, 2024 | 1 | 2024 |
| Improved context-sensitive transformer model for inland vessel trajectory prediction K Donandt, K Böttger, D Söffker 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
| Spatial and social situation-aware transformer-based trajectory prediction of autonomous systems K Donandt, D Söffker 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | | 2023 |
| Hybrid Transformer-CNN model with spatial awareness for inland vessel trajectory prediction S Sagheer, K Donandt, A Bernath | | |
