| Anomaly detection in wireless sensor networks in a non-stationary environment C O'Reilly, A Gluhak, MA Imran, S Rajasegarar IEEE Communications Surveys & Tutorials 16 (3), 1413-1432, 2014 | 147 | 2014 |
| Distributed Anomaly Detection using Minimum Volume Elliptical Principal Component Analysis CE O'Reilly, A Gluhak, A Imran IEEE Transactions on Knowledge and Data Engineering, 2016 | 46 | 2016 |
| Univariate and Multivariate Time Series Manifold Learning C O’Reilly, K Moessner, M Nati Knowledge-Based Systems, 2017 | 37 | 2017 |
| Adaptive anomaly detection with kernel eigenspace splitting and merging C O’Reilly, A Gluhak, MA Imran IEEE Transactions on Knowledge and Data Engineering 27 (1), 3-16, 2015 | 22 | 2015 |
| Online anomaly rate parameter tracking for anomaly detection in wireless sensor networks C O'Reilly, A Gluhak, M Imran, S Rajasegarar Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2012 9th Annual …, 2012 | 15 | 2012 |
| SocIoTal—The development and architecture of a social IoT framework JB Bernabe, I Elicegui, E Gandrille, N Gligoric, A Gluhak, C Hennebert, ... Global Internet of Things Summit (GIoTS), 2017, 1-6, 2017 | 12 | 2017 |
| Anomaly Detection in Non-Stationary and Distributed Environments C O'Reilly University of Surrey, 2014 | 1 | 2014 |
| Online anomaly detection with an incremental centred kernel hypersphere C O'Reilly, A Gluhak, M Imran 2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013 | 1 | 2013 |
Alexander GluhakDigital CatapultVerified email at digicatapult.org.uk
