Leilani H. Gilpin
About
Leilani H. Gilpin has authored 9 papers that have received a total of 862 indexed citations.
This includes 5 papers in Artificial Intelligence, 2 papers in Epidemiology and 2 papers in Management Science and Operations Research. The topics of these papers are Explainable Artificial Intelligence (XAI) (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Complex Network Analysis Techniques (2 papers). Leilani H. Gilpin is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Complex Network Analysis Techniques (2 papers) and collaborates with scholars based in United States. Leilani H. Gilpin's co-authors include Lalana Kagal, Daniel Davies, Ben Z. Yuan, Michael A. Specter and Eric A. Bier and has published in prestigious journals such as AI Magazine and AI & Society
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