Antonio Vergari
About
Antonio Vergari has authored 19 papers that have received a total of 102 indexed citations.
This includes 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. The topics of these papers are Bayesian Modeling and Causal Inference (6 papers), Machine Learning and Data Classification (5 papers) and Gaussian Processes and Bayesian Inference (3 papers). Antonio Vergari is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Machine Learning and Data Classification (5 papers) and Gaussian Processes and Bayesian Inference (3 papers) and collaborates with scholars based in United Kingdom, United States and Italy. Antonio Vergari's co-authors include Floriana Esposito, Nicola Di Mauro, Guy Van den Broeck, Alejandro Molina and Kristian Kersting and has published in prestigious journals such as Machine Learning, Translational Psychiatry and Journal of Manufacturing Systems
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