Making neural QA as simple as possible but not simpler D Weissenborn, G Wiese, L Seiffe arXiv preprint arXiv:1703.04816, 2017 | 318* | 2017 |
webKnossos: efficient online 3D data annotation for connectomics KM Boergens, M Berning, T Bocklisch, D Bräunlein, F Drawitsch, ... nature methods 14 (7), 691-694, 2017 | 130 | 2017 |
Neural Domain Adaptation for Biomedical Question Answering G Wiese, D Weissenborn, M Neves CoNLL 2017, 281–289, 2017 | 128 | 2017 |
Approximate discovery of functional dependencies for large datasets T Bleifuß, S Bülow, J Frohnhofen, J Risch, G Wiese, S Kruse, ... Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 28 | 2016 |
Neural Question Answering at BioASQ 5B G Wiese, D Weissenborn, M Neves Proceedings of the BioNLP 2017 workshop, 76–79, 2017 | 26 | 2017 |
Analyse der nationalen und internationalen Leistungsentwicklung im Skispringen S Müller, S Kreibich, G Wiese Zeitschrift für Angewandte Trainingswissenschaft 21 (2), 97-111, 2014 | 22 | 2014 |
Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images J An, L Wendt, G Wiese, T Herold, N Rzepka, S Mueller, SP Koch, ... Scientific Reports 13 (1), 13341, 2023 | 4 | 2023 |