Scott Sanner

109 papers and 2.0k indexed citations i.

Scott Sanner has authored 109 papers that have received a total of 2.0k indexed citations. This includes 79 papers in Artificial Intelligence, 22 papers in Information Systems and 16 papers in Computational Theory and Mathematics. The topics of these papers are Bayesian Modeling and Causal Inference (20 papers), Recommender Systems and Techniques (16 papers) and Reinforcement Learning in Robotics (15 papers). Scott Sanner is often cited by papers focused on Bayesian Modeling and Causal Inference (20 papers), Recommender Systems and Techniques (16 papers) and Reinforcement Learning in Robotics (15 papers) and collaborates with scholars based in Canada, Australia and United States. Scott Sanner's co-authors include Lexing Xie, Zheda Mai, Mohamed Reda Bouadjenek, Brent Huchuk and William O’Brien and has published in prestigious journals such as Trends in biotechnology, Expert Systems with Applications and Energy and Buildings