VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
© 2019 Copyright held by the owner/author(s). Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the efectiveness of visualization designs. These exemplars often lack the characteristics of real-world datasets, and their one-of nature makes it difcult t...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association for Computing Machinery (ACM)
2021
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| Online Access: | https://hdl.handle.net/1721.1/132287 |
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VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Published 2022
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