Denver Dash

15 papers and 237 indexed citations i.

Denver Dash has authored 15 papers that have received a total of 237 indexed citations. This includes 14 papers in Artificial Intelligence, 3 papers in Epidemiology and 2 papers in Computer Networks and Communications. The topics of these papers are Bayesian Modeling and Causal Inference (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Data-Driven Disease Surveillance (3 papers). Denver Dash is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Data-Driven Disease Surveillance (3 papers) and collaborates with scholars based in United States, Poland and Japan. Denver Dash's co-authors include Marek J. Drużdżel, Gregory F. Cooper, Weng‐Keen Wong, Haiqin Wang and Matthai Philipose and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Journal of Machine Learning Research