Search Results for author:
Found 7 papers, 3 papers with code
Cooperation and interdependence in global science funding
Investments in research and development are key to scientific and economic growth and to the well-being of society.
Investigating Disagreement in the Scientific Literature
Disagreement is essential to scientific progress.
Avoiding bias when inferring race using name-based approaches
The goal of this article is to assess the extent to which algorithmic bias is introduced using different approaches for name based racial inference.
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Reproducibility, that is obtaining similar results as presented in a paper or talk, using the same code and data (when available), is a necessary step to verify the reliability of research findings.
Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome
We found that accepted manuscripts scored lower than rejected manuscripts on two indicators of readability, and that they also used more scientific and artificial intelligence jargon.
Analyzing Linguistic Complexity and Scientific Impact
In this context, scientific writing increasingly plays an important role in scholars' scientific careers.
Tweets as impact indicators: Examining the implications of automated bot accounts on Twitter
This brief communication presents preliminary findings on automated Twitter accounts distributing links to scientific papers deposited on the preprint repository arXiv.
Digital Libraries
