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 | 128 | 2018 |
Quantifying interpretability and trust in machine learning systems P Schmidt, F Biessmann arXiv preprint arXiv:1901.08558, 2019 | 80 | 2019 |
Transparency and trust in artificial intelligence systems P Schmidt, F Biessmann, T Teubner Journal of Decision Systems 29 (4), 260-278, 2020 | 62 | 2020 |
" 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 | 57 | 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 | 50 | 2019 |
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 | 10 | 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 | 9 | 2019 |
Calibrating human-ai collaboration: Impact of risk, ambiguity and transparency on algorithmic bias P Schmidt, F Biessmann International Cross-Domain Conference for Machine Learning and Knowledge …, 2020 | 7 | 2020 |
Automated Data Validation in Machine Learning Systems. F Biessmann, J Golebiowski, T Rukat, D Lange, P Schmidt IEEE Data Eng. Bull. 44 (1), 51-65, 2021 | 6 | 2021 |
Deequ-data quality validation for machine learning pipelines S Schelter, S Grafberger, P Schmidt, T Rukat, M Kiessling, A Taptunov, ... Machine Learning Systems Workshop at the Conference on Neural Information …, 2018 | 6 | 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 | | 2021 |
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 |