Philipp Schmidt

Most-cited papers

Transparency and trust in artificial intelligence systems
Philipp Schmidt, F. Biessmann, T. Teubner
2020Journal of Decision Systems365 citations
Semantic Scholar
Automating Large-Scale Data Quality Verification
S. Schelter, Dustin Lange, Philipp Schmidt, Meltem Celikel +2 more
2018Proceedings of the VLDB Endowment340 citations
Semantic Scholar
Quantifying Interpretability and Trust in Machine Learning Systems
Philipp Schmidt, F. Biessmann
2019arXiv.org133 citations
Semantic Scholar
DataWig: Missing Value Imputation for Tables
F. Biessmann, Tammo Rukat, Philipp Schmidt, P. Naidu +4 more
2019Journal of machine learning research116 citations
Semantic Scholar
"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data
F. Biessmann, David Salinas, S. Schelter, Philipp Schmidt +1 more
2018International Conference on Information and Knowledge Management94 citations
Semantic Scholar
Automated Data Validation in Machine Learning Systems
F. Biessmann, Jacek Golebiowski, Tammo Rukat, Dustin Lange +1 more
2021IEEE Data Engineering Bulletin40 citations
Semantic Scholar
Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias
Philipp Schmidt, F. Biessmann
2020International Cross-Domain Conference on Machine Learning and Knowledge Extraction28 citations Open access
Semantic Scholar
Differential Data Quality Verification on Partitioned Data
S. Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat +4 more
2019IEEE International Conference on Data Engineering24 citations
Semantic Scholar
DEEQU - Data Quality Validation for Machine Learning Pipelines
S. Schelter, Philipp Schmidt, Tammo Rukat, Mario Kiessling +3 more
201818 citations
Semantic Scholar
Learning Action Embeddings for Off-Policy Evaluation
Matej Cief, Jacek Golebiowski, Philipp Schmidt, Ziawasch Abedjan +1 more
2023European Conference on Information Retrieval11 citations Open access
Semantic Scholar
More Than Words: Towards Better Quality Interpretations of Text Classifiers
Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, C. Archambeau +3 more
2021arXiv.org7 citations
Semantic Scholar
Toxic Comment Collection: Making More Than 30 Datasets Easily Accessible in One Unified Format
Julian Risch, Philipp Schmidt, Ralf Krestel
2021WOAH6 citations
Semantic Scholar
Toxic Comment Collection: Making More Than 30 Datasets Easily Accessible in One Unified Format
Julian Risch, Philipp Schmidt, Ralf Krestel
2021Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)4 citations Open access
Semantic Scholar
Generating Domain-Specific Knowledge Graphs: Challenges with Open Information Extraction
Nitisha Jain, Alejandro Sierra-Múnera, M. Lomaeva, Julius Streit +3 more
2022TEXT2KG/MK@ESWC3 citations
Semantic Scholar
Variational Boosted Soft Trees
Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba +1 more
2023International Conference on Artificial Intelligence and Statistics0 citations Open access
Semantic Scholar