| A benchmark for data imputation methods S Jäger, A Allhorn, F Bießmann Frontiers in big Data 4, 693674, 2021 | 48 | 2021 |
| Parallelized training of Deep NN: comparison of current concepts and frameworks S Jäger, HP Zorn, S Igel, C Zirpins Proceedings of the Second Workshop on Distributed Infrastructures for Deep …, 2018 | 6 | 2018 |
| Nudging Sustainable Consumption: A Large-Scale Data Analysis of Sustainability Labels for Fashion in German Online Retail M Gossen, S Jäger, ML Hoffmann, F Bießmann, R Korenke, T Santarius Frontiers in Sustainability, 44, 2022 | 3 | 2022 |
| GreenDB: Toward a Product-by-Product Sustainability Database S Jäger, J Greene, M Jakob, R Korenke, T Santarius, F Biessmann arXiv preprint arXiv:2205.02908, 2022 | 2 | 2022 |
| Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data A Flick, S Jäger, I Trajanovska, F Biessmann Advances in Information Retrieval: 45th European Conference on Information …, 2023 | | 2023 |
| GreenDB--A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods A Flick, S Jaeger, JAS Garcia, K Driesch, K Brendel, F Biessmann arXiv preprint arXiv:2207.10733, 2022 | | 2022 |
| Compressing BERT–An Evaluation and Combination of Methods S Jäger | | |
| Horizontales Skalieren von Deep Learning Frameworks S Jäger | | |
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesVerified email at bht-berlin.de
