James Large

7 papers and 1.1k indexed citations i.

James Large has authored 7 papers that have received a total of 1.1k indexed citations. This includes 6 papers in Signal Processing, 5 papers in Artificial Intelligence and 4 papers in Economics and Econometrics. The topics of these papers are Time Series Analysis and Forecasting (6 papers), Complex Systems and Time Series Analysis (4 papers) and Anomaly Detection Techniques and Applications (4 papers). James Large is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Complex Systems and Time Series Analysis (4 papers) and Anomaly Detection Techniques and Applications (4 papers) and collaborates with scholars based in United Kingdom, France and United States. James Large's co-authors include Anthony Bagnall, Jason Lines, Matthew Middlehurst, Aaron Bostrom and Michael Flynn and has published in prestigious journals such as Machine Learning, Data Mining and Knowledge Discovery and Intelligent Data Analysis.