Pedro Domingos
About
Pedro Domingos has authored 135 papers that have received a total of 10.9k indexed citations.
This includes 90 papers in Artificial Intelligence, 33 papers in Information Systems and 27 papers in Molecular Biology. The topics of these papers are Bayesian Modeling and Causal Inference (55 papers), Machine Learning and Algorithms (27 papers) and Machine Learning and Data Classification (22 papers). Pedro Domingos is often cited by papers focused on Bayesian Modeling and Causal Inference (55 papers), Machine Learning and Algorithms (27 papers) and Machine Learning and Data Classification (22 papers) and collaborates with scholars based in United States, Portugal and United Kingdom. Pedro Domingos's co-authors include Hoifung Poon, Parag Singla, Daniel S. Weld, Aniruddh Nath and Vibhav Gogate and has published in prestigious journals such as Nature Communications, The EMBO Journal and PLoS ONE
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