| Automating large-scale data quality verification S Schelter, D Lange, P Schmidt, M Celikel, F Biessmann, A Grafberger Proceedings of the VLDB Endowment 11 (12), 1781-1794, 2018 | 167 | 2018 |
| Transparency and trust in artificial intelligence systems P Schmidt, F Biessmann, T Teubner Journal of Decision Systems 29 (4), 260-278, 2020 | 112 | 2020 |
| Quantifying interpretability and trust in machine learning systems P Schmidt, F Biessmann arXiv preprint arXiv:1901.08558, 2019 | 99 | 2019 |
| " Deep" Learning for Missing Value Imputationin Tables with Non-numerical Data F Biessmann, D Salinas, S Schelter, P Schmidt, D Lange Proceedings of the 27th ACM International Conference on Information and …, 2018 | 74 | 2018 |
| DataWig: Missing Value Imputation for Tables. F Biessmann, T Rukat, P Schmidt, P Naidu, S Schelter, A Taptunov, ... J. Mach. Learn. Res. 20 (175), 1-6, 2019 | 71 | 2019 |
| Calibrating human-ai collaboration: Impact of risk, ambiguity and transparency on algorithmic bias P Schmidt, F Biessmann Machine Learning and Knowledge Extraction: 4th IFIP TC 5, TC 12, WG 8.4, WG …, 2020 | 20 | 2020 |
| Automated data validation in machine learning systems F Biessmann, J Golebiowski, T Rukat, D Lange, P Schmidt | 13 | 2021 |
| Differential data quality verification on partitioned data S Schelter, S Grafberger, P Schmidt, T Rukat, M Kiessling, A Taptunov, ... 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1940-1945, 2019 | 12 | 2019 |
| Unit testing data with deequ S Schelter, F Biessmann, D Lange, T Rukat, P Schmidt, S Seufert, ... Proceedings of the 2019 International Conference on Management of Data, 1993 …, 2019 | 11 | 2019 |
| Deequ-data quality validation for machine learning pipelines S Schelter, P Schmidt, T Rukat, M Kiessling, A Taptunov, F Biessmann, ... | 9 | 2018 |
| More than words: Towards better quality interpretations of text classifiers MB Zafar, P Schmidt, M Donini, C Archambeau, F Biessmann, SR Das, ... arXiv preprint arXiv:2112.12444, 2021 | 4 | 2021 |
| Learning Action Embeddings for Off-Policy Evaluation M Cief, J Golebiowski, P Schmidt, Z Abedjan, A Bekasov arXiv preprint arXiv:2305.03954, 2023 | | 2023 |
| Variational boosted soft trees T Cinquin, T Rukat, P Schmidt, M Wistuba, A Bekasov International Conference on Artificial Intelligence and Statistics, 5787-5801, 2023 | | 2023 |
| More Than Words: Towards Better Quality Interpretations of Text Classifiers M Bilal Zafar, P Schmidt, M Donini, C Archambeau, F Biessmann, ... arXiv e-prints, arXiv: 2112.12444, 2021 | | 2021 |
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesVerified email at bht-berlin.de
