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Found 3 papers, 3 papers with code
Measuring and Controlling Divisiveness in Rank Aggregation
In rank aggregation, members of a population rank issues to decide which are collectively preferred.
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery.
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs.
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