Matthew Middlehurst
About
Matthew Middlehurst has authored 8 papers that have received a total of 312 indexed citations.
This includes 8 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 (8 papers), Anomaly Detection Techniques and Applications (5 papers) and Complex Systems and Time Series Analysis (4 papers). Matthew Middlehurst is often cited by papers focused on Time Series Analysis and Forecasting (8 papers), Anomaly Detection Techniques and Applications (5 papers) and Complex Systems and Time Series Analysis (4 papers) and collaborates with scholars based in United Kingdom, Germany and Spain. Matthew Middlehurst's co-authors include Anthony Bagnall, James Large, Michael Flynn, Jason Lines and Diego Furtado Silva and has published in prestigious journals such as Machine Learning, Data Mining and Knowledge Discovery and Knowledge and Information Systems
In The Last Decade
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