Pablo González-González

About

Pablo González-González is an Assistant Professor at the University of Oviedo, Spain. His research focuses on quantification methods, including kernel density estimation, permutation-invariant networks, and the development of related Python libraries. He has published extensively on topics such as binary quantification, dataset shifts, and the application of machine learning algorithms in feed efficiency prediction.