Andy Shih
About
Andy Shih has authored 9 papers that have received a total of 132 indexed citations.
This includes 8 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Modeling and Causal Inference (3 papers), Reinforcement Learning in Robotics (3 papers) and Adaptation to Concept Drift in Data Streams (2 papers). Andy Shih is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Reinforcement Learning in Robotics (3 papers) and Adaptation to Concept Drift in Data Streams (2 papers) and collaborates with scholars based in United States and Taiwan. Andy Shih's co-authors include Adnan Darwiche, Stefano Ermon, Arthur Choi, Dorsa Sadigh and Yih-Shiou Hwang and has published in prestigious journals such as Diagnostics
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