Search Results for author: Michiel Bakker

Found 2 papers, 2 papers with code

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

2 code implementations • 25 May 2019 • Madelon Hulsebos, Kevin Hu, Michiel Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çağatay Demiralp, César Hidalgo

Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery.

Column Type Annotation Vocal Bursts Type Prediction +1

138

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Code

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

1 code implementation • 12 May 2019 • Kevin Hu, Neil Gaikwad, Michiel Bakker, Madelon Hulsebos, Emanuel Zgraggen, César Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çağatay Demiralp

Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs.

Benchmarking

Paper
Code

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