Anomaly detection in sea traffic-a comparison of the gaussian mixture model and the kernel density estimator R Laxhammar, G Falkman, E Sviestins 2009 12th international conference on information fusion, 756-763, 2009 | 252 | 2009 |
Anomaly detection for sea surveillance R Laxhammar 2008 11th international conference on information fusion, 1-8, 2008 | 216 | 2008 |
Online learning and sequential anomaly detection in trajectories R Laxhammar, G Falkman IEEE transactions on pattern analysis and machine intelligence 36 (6), 1158-1173, 2013 | 210 | 2013 |
Sequential conformal anomaly detection in trajectories based on hausdorff distance R Laxhammar, G Falkman 14th international conference on information fusion, 1-8, 2011 | 91 | 2011 |
Conformal prediction for distribution-independent anomaly detection in streaming vessel data R Laxhammar, G Falkman Proceedings of the first international workshop on novel data stream pattern …, 2010 | 65 | 2010 |
Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories R Laxhammar, G Falkman Annals of Mathematics and Artificial Intelligence 74, 67-94, 2015 | 63 | 2015 |
Conformal anomaly detection: Detecting abnormal trajectories in surveillance applications R Laxhammar University of Skövde, 2014 | 36 | 2014 |
Anomaly detection in trajectory data for surveillance applications R Laxhammar Örebro universitet, 2011 | 34 | 2011 |
An ensemble approach for increased anomaly detection performance in video surveillance data C Brax, L Niklasson, R Laxhammar 2009 12th International Conference on Information Fusion, 694-701, 2009 | 18 | 2009 |
A joint statistical and symbolic anomaly detection system: Increasing performance in maritime surveillance A Holst, B Bjurling, J Ekman, Å Rudström, K Wallenius, M Björkman, ... 2012 15th International Conference on Information Fusion, 1919-1926, 2012 | 17 | 2012 |
Anomaly detection R Laxhammar Morgan Kaufmann Publishers, 2014 | 15 | 2014 |
Online detection of anomalous sub-trajectories: A sliding window approach based on conformal anomaly detection and local outlier factor R Laxhammar, G Falkman IFIP International Conference on Artificial Intelligence Applications and …, 2012 | 15 | 2012 |
Artificial intelligence for situation assessment R Laxhammar Numerisk analys och datalogi, Kungliga Tekniska högskolan, 2007 | 13 | 2007 |
Conformal anomaly detection R Laxhammar Skövde, Sweden: University of Skövde 2, 2014 | 12 | 2014 |
Approaches for detecting behavioural anomalies in public areas using video surveillance data C Brax, R Laxhammar, L Niklasson Electro-Optical and Infrared Systems: Technology and Applications V 7113 …, 2008 | 3 | 2008 |
D4. 3. Vehicle models for fuel consumption R Laxhammar, A Gascón-Vallbona | | |