Francisco J. R. Ruiz

25 papers and 671 indexed citations i.

Francisco J. R. Ruiz has authored 25 papers that have received a total of 671 indexed citations. This includes 20 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Methods and Mixture Models (10 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Machine Learning and Algorithms (5 papers). Francisco J. R. Ruiz is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Machine Learning and Algorithms (5 papers) and collaborates with scholars based in United States, United Kingdom and Spain. Francisco J. R. Ruiz's co-authors include David M. Blei, Fernando Pérez‐Cruz, Susan Athey, Isabel Valera and Michalis K. Titsias and has published in prestigious journals such as Nature, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence