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Till Döhmen
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2020 – today
- 2024
- [j2]Till Döhmen
, Radu Geacu
SchemaPile: A Large Collection of Relational Database Schemas. Proc. ACM Manag. Data 2(3): 172 (2024) - [c9]R. J. Atwal, Peter A. Boncz, Ryan Boyd, Antony Courtney, Till Döhmen, Florian Gerlinghoff, Jeff Huang, Joseph Hwang, Raphael Hyde, Elena Felder, Jacob Lacouture, Yves Le Maout, Boaz Leskes, Yao Liu, Alex Monahan, Dan Perkins, Tino Tereshko, Jordan Tigani, Nick Ursa, Stephanie Wang, Yannick Welsch:
MotherDuck: DuckDB in the cloud and in the client. CIDR 2024 - [c8]Xue Li
Towards Efficient Data Wrangling with LLMs using Code Generation. DEEM@SIGMOD 2024: 62-66 - 2023
- [c7]Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. DSAA 2023: 1-10 - 2022
- [c6]Till Döhmen, Madelon Hulsebos, Christian Beecks, Sebastian Schelter
GitSchemas: A Dataset for Automating Relational Data Preparation Tasks. ICDE Workshops 2022: 74-78 - [c5]Alexander Graß, Till Döhmen, Christian Beecks:
Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery. ICDE Workshops 2022: 79-83 - [i2]Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. CoRR abs/2208.13405 (2022) - 2021
- [j1]Md. Rezaul Karim
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. IEEE Access 9: 39757-39780 (2021) - 2020
- [c4]Md. Rezaul Karim, Till Döhmen, Michael Cochez
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. BIBM 2020: 1034-1037 - [i1]Md. Rezaul Karim, Till Döhmen, Dietrich Rebholz-Schuhmann, Stefan Decker, Michael Cochez, Oya Beyan:
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. CoRR abs/2004.04582 (2020)
2010 – 2019
- 2017
- [c3]Till Döhmen, Hannes Mühleisen, Peter A. Boncz:
Multi-Hypothesis CSV Parsing. SSDBM 2017: 16:1-16:12 - 2016
- [c2]Till Döhmen, Magiel Bruntink, Davide Ceolin
Towards a Benchmark for the Maintainability Evolution of Industrial Software Systems. IWSM-Mensura 2016: 11-21 - 2015
- [c1]Davide Ceolin, Till Döhmen, Joost Visser:
Refining Software Quality Prediction with LOD. URSW@ISWC 2015: 50-53
Coauthor Index
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last updated on 2024-08-03 21:11 CEST by the dblp team
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