James Eagan

9 papers and 123 indexed citations i.

James Eagan has authored 9 papers that have received a total of 123 indexed citations. This includes 5 papers in Computer Vision and Pattern Recognition, 4 papers in Human-Computer Interaction and 3 papers in Artificial Intelligence. The topics of these papers are Data Visualization and Analytics (5 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Adversarial Robustness in Machine Learning (2 papers). James Eagan is often cited by papers focused on Data Visualization and Analytics (5 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Adversarial Robustness in Machine Learning (2 papers) and collaborates with scholars based in France, Denmark and United States. James Eagan's co-authors include Isabelle Bloch, Florence d’Alché–Buc, David Bounie, Stéphan Clémençon and Pavlo Mozharovskyi and has published in prestigious journals such as Computer, IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Computer-Human Interaction.