Jonathan R. Wells

12 papers and 149 indexed citations i.

Jonathan R. Wells has authored 12 papers that have received a total of 149 indexed citations. This includes 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. The topics of these papers are Anomaly Detection Techniques and Applications (8 papers), Machine Learning and Data Classification (4 papers) and Time Series Analysis and Forecasting (3 papers). Jonathan R. Wells is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Machine Learning and Data Classification (4 papers) and Time Series Analysis and Forecasting (3 papers) and collaborates with scholars based in Australia, Japan and China. Jonathan R. Wells's co-authors include Kai Ming Ting, Takashi Washio, Sunil Aryal, Fei Tony Liu and Geoffrey I. Webb and has published in prestigious journals such as Pattern Recognition, Machine Learning and IEEE Transactions on Knowledge and Data Engineering.