Rikard Laxhammar
Rikard Laxhammar
Scania CV AB
Bestätigte E-Mail-Adresse bei scania.com
Titel
Zitiert von
Zitiert von
Jahr
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
1832009
Anomaly detection for sea surveillance
R Laxhammar
2008 11th international conference on information fusion, 1-8, 2008
1652008
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
1362013
Sequential conformal anomaly detection in trajectories based on hausdorff distance
R Laxhammar, G Falkman
14th International Conference on Information Fusion, 1-8, 2011
592011
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
452010
Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories
R Laxhammar, G Falkman
Annals of Mathematics and Artificial Intelligence 74 (1), 67-94, 2015
262015
Anomaly detection in trajectory data for surveillance applications
R Laxhammar
Örebro universitet, 2011
262011
Conformal anomaly detection: Detecting abnormal trajectories in surveillance applications
R Laxhammar
University of Skövde, 2014
252014
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
182009
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
172012
Artificial intelligence for situation assessment
R Laxhammar
Numerisk analys och datalogi, Kungliga Tekniska högskolan, 2007
122007
Conformal anomaly detection
R Laxhammar
Ph. D. thesis, University of Skövde, 2014
112014
Anomaly detection
R Laxhammar
Morgan Kaufmann Publishers, 2014
102014
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
102012
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, 711318, 2008
32008
D4. 3. Vehicle models for fuel consumption
R Laxhammar, A Gascón-Vallbona
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