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, 2020 | 95 | 2020 |
DeepCOVIDExplainer: Explainable COVID-19 diagnosis based on chest X-ray images MR Karim, T Döhmen, M Cochez, O Beyan, D Rebholz-Schuhmann, ... 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 70 | 2020 |
Multi-hypothesis CSV parsing T Döhmen, H Mühleisen, P Boncz Proceedings of the 29th International Conference on Scientific and …, 2017 | 18 | 2017 |
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 | 11 | 2016 |
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 | 10 | 2021 |
Agricultural Information Model R Palma, I Roussaki, T Döhmen, R Atkinson, S Brahma, C Lange, ... Information and Communication Technologies for Agriculture—Theme III …, 2022 | 3 | 2022 |
DeepCOVIDExplainer: explainable COVID-19 diagnosis based on chest x-ray images M Rezaul Karim, T Döhmen, D Rebholz-Schuhmann, S Decker, ... arXiv e-prints, arXiv: 2004.04582, 2020 | 3 | 2020 |
Interpreting black-box machine learning models for high dimensional datasets M Karim, M Shajalal, A Graß, T Döhmen, SA Chala, C Beecks, S Decker arXiv preprint arXiv:2208.13405, 2022 | 1 | 2022 |
Towards Parameter-Efficient Automation of Data Wrangling Tasks with Prefix-Tuning D Vos, T Döhmen, S Schelter NeurIPS 2022 First Table Representation Workshop, 2022 | 1 | 2022 |
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 | 1 | 2022 |
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 |
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 | | 2021 |
Refining Software Quality Prediction with LOD D Ceolin, T Döhmen, J Visser [Sl]: CEUR, 2015 | | 2015 |