Philipp Schmidt
Philipp Schmidt
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Cited by
Cited by
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
Quantifying interpretability and trust in machine learning systems
P Schmidt, F Biessmann
arXiv preprint arXiv:1901.08558, 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
DataWig: Missing Value Imputation for Tables.
F Biessmann, T Rukat, P Schmidt, P Naidu, S Schelter, A Taptunov, ...
J. Mach. Learn. Res. 20, 175:1-175:6, 2019
Transparency and trust in artificial intelligence systems
P Schmidt, F Biessmann, T Teubner
Journal of Decision Systems 29 (4), 260-278, 2020
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
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
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
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
Automated Data Validation in Machine Learning Systems
F Biessmann, J Golebiowski, T Rukat, D Lange, P Schmidt
Bulletin of the IEEE Computer Society Technical Committee on Data …, 2021
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