| Deepcovidexplainer: Explainable covid-19 predictions based on chest x-ray images M Karim, T Döhmen, D Rebholz-Schuhmann, S Decker, M Cochez, ... arXiv preprint arXiv:2004.04582 28, 2020 | 226* | 2020 |
| DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis from Radiographs and Magnetic Resonance Imaging MR Karim, J Jiao, T Döhmen, M Cochez, O Beyan, ... IEEE Access 9, 39757-39780, 2021 | 46 | 2021 |
| Multi-hypothesis CSV parsing T Döhmen, H Mühleisen, P Boncz Proceedings of the 29th International Conference on Scientific and …, 2017 | 36 | 2017 |
| Towards parameter-efficient automation of data wrangling tasks with prefix-tuning D Vos, T Döhmen, S Schelter NeurIPS 2022 First Table Representation Workshop, 2022 | 28 | 2022 |
| Agricultural information model R Palma, I Roussaki, T Döhmen, R Atkinson, S Brahma, C Lange, ... Information and Communication Technologies for Agriculture—Theme III …, 2022 | 25 | 2022 |
| Interpreting black-box machine learning models for high dimensional datasets MR Karim, M Shajalal, A Graß, T Döhmen, SA Chala, A Boden, C Beecks, ... 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 14 | 2023 |
| Towards a Benchmark for the Maintainability Evolution of Industrial Software Systems T Döhmen, M Bruntink, D Ceolin, J Visser 2016 Joint Conference of the International Workshop on Software Measurement …, 2016 | 14 | 2016 |
| MotherDuck: DuckDB in the cloud and in the client. RJ Atwal, PA Boncz, R Boyd, A Courtney, T Döhmen, F Gerlinghoff, ... CIDR, 2024 | 7 | 2024 |
| GitSchemas: A Dataset for Automating Relational Data Preparation Tasks T Döhmen, M Hulsebos, C Beecks, S Schelter ICDE International workshop on databases and machine learning, 2022 | 7 | 2022 |
| SchemaPile: A Large Collection of Relational Database Schemas T Döhmen, R Geacu, M Hulsebos, S Schelter Proceedings of the ACM on Management of Data 2 (3), 1-25, 2024 | 4 | 2024 |
| Towards Efficient Data Wrangling with LLMs using Code Generation X Li, T Döhmen Proceedings of the Eighth Workshop on Data Management for End-to-End Machine …, 2024 | 3 | 2024 |
| DuckDQ: Data Quality Assertions for Machine Learning Pipelines T Döhmen, M Raasveldt, H Mühleisen, S Schelter ICML Workshop on Challenges in Deploying and monitoring Machine Learning Systems, 2021 | 2 | 2021 |
| Multi-Hypothesis Parsing of Tabular Data in Comma-Separated Values (CSV) Files T Döhmen Master’s thesis, Vrije Universiteit Amsterdam, www. cwi. nl/boncz/msc/2016 …, 2016 | 1 | 2016 |
| Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery A Graß, T Döhmen, C Beecks 2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW …, 2022 | | 2022 |
| Refining Software Quality Prediction with LOD D Ceolin, T Döhmen, J Visser [Sl]: CEUR, 2015 | | 2015 |
| Efficient Data Wrangling with LLMs using Code Generation X Li, T Döhmen | | |
