Matthew Middlehurst

9 papers and 341 indexed citations i.

Matthew Middlehurst has authored 9 papers that have received a total of 341 indexed citations. This includes 9 papers in Signal Processing, 5 papers in Artificial Intelligence and 5 papers in Economics and Econometrics. The topics of these papers are Time Series Analysis and Forecasting (9 papers), Complex Systems and Time Series Analysis (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Matthew Middlehurst is often cited by papers focused on Time Series Analysis and Forecasting (9 papers), Complex Systems and Time Series Analysis (5 papers) and Anomaly Detection Techniques and Applications (5 papers) and collaborates with scholars based in United Kingdom, Germany and Spain. Matthew Middlehurst's co-authors include Anthony Bagnall, James Large, Michael Flynn, Chang Wei Tan and David Guijo-Rubio and has published in prestigious journals such as Machine Learning, Data Mining and Knowledge Discovery and Knowledge and Information Systems.