Douglas L. Vail

8 papers and 280 indexed citations i.

Douglas L. Vail has authored 8 papers that have received a total of 280 indexed citations. This includes 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. The topics of these papers are Anomaly Detection Techniques and Applications (3 papers), Time Series Analysis and Forecasting (2 papers) and Human Pose and Action Recognition (2 papers). Douglas L. Vail is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Time Series Analysis and Forecasting (2 papers) and Human Pose and Action Recognition (2 papers) and collaborates with scholars based in United States and France. Douglas L. Vail's co-authors include Manuela Veloso, John Lafferty, Sonia Chernova, Maayan Roth and Paul E. Rybski and has published in prestigious journals such as AI Magazine and International Journal of Humanoid Robotics