Search Results for author:
Found 2 papers, 0 papers with code
Effect of forename string on author name disambiguation
In author name disambiguation, author forenames are used to decide which name instances are disambiguated together and how much they are likely to refer to the same author.
The impact of imbalanced training data on machine learning for author name disambiguation
Results show that increasing negative training data can improve disambiguation performance but with a few percent of performance gains and sometimes degrade it.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
