Roberto Esposito

48 papers and 283 indexed citations i.

Roberto Esposito has authored 48 papers that have received a total of 283 indexed citations. This includes 15 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 5 papers in Computational Theory and Mathematics. The topics of these papers are Domain Adaptation and Few-Shot Learning (3 papers), Computational Drug Discovery Methods (3 papers) and Machine Learning and Data Classification (3 papers). Roberto Esposito is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Computational Drug Discovery Methods (3 papers) and Machine Learning and Data Classification (3 papers) and collaborates with scholars based in Italy, France and Germany. Roberto Esposito's co-authors include Giulia Caron, Marco Aldinucci, Giuseppe Ermondi, Alessia Visconti and Dino Ienco and has published in prestigious journals such as The Lancet, IEEE Access and Journal of Animal Science