Jason Lines
About
Jason Lines has authored 12 papers that have received a total of 2.0k indexed citations.
This includes 11 papers in Signal Processing, 8 papers in Economics and Econometrics and 6 papers in Artificial Intelligence. The topics of these papers are Time Series Analysis and Forecasting (10 papers), Complex Systems and Time Series Analysis (8 papers) and Anomaly Detection Techniques and Applications (6 papers). Jason Lines is often cited by papers focused on Time Series Analysis and Forecasting (10 papers), Complex Systems and Time Series Analysis (8 papers) and Anomaly Detection Techniques and Applications (6 papers) and collaborates with scholars based in United Kingdom and United States. Jason Lines's co-authors include Anthony Bagnall, Jon Hills, James Large, Luke M. Davis and Aaron Bostrom and has published in prestigious journals such as Machine Learning, IEEE Transactions on Knowledge and Data Engineering and Data Mining and Knowledge Discovery
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