Mauro Scanagatta
About
Mauro Scanagatta has authored 9 papers that have received a total of 305 indexed citations.
This includes 8 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 1 paper in Computational Theory and Mathematics. The topics of these papers are Bayesian Modeling and Causal Inference (8 papers), Data Quality and Management (5 papers) and Machine Learning and Data Classification (2 papers). Mauro Scanagatta is often cited by papers focused on Bayesian Modeling and Causal Inference (8 papers), Data Quality and Management (5 papers) and Machine Learning and Data Classification (2 papers) and collaborates with scholars based in Switzerland, United Kingdom and Italy. Mauro Scanagatta's co-authors include Giorgio Corani, Marco Zaffalon, Cassio P. de Campos, Raman Kazhamiakin and Annapaola Marconi and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems and Machine Learning
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