James Large
About
James Large has authored 7 papers that have received a total of 1.0k 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), Anomaly Detection Techniques and Applications (4 papers) and Complex Systems and Time Series Analysis (4 papers). James Large is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Complex Systems and Time Series Analysis (4 papers) and collaborates with scholars based in United Kingdom, France and United States. James Large's co-authors include Anthony Bagnall, Matthew Middlehurst, Jason Lines, Michael Flynn and Aaron Bostrom and has published in prestigious journals such as Machine Learning, Data Mining and Knowledge Discovery and Intelligent Data Analysis
In The Last Decade
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