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Simon Maskell
Simon Maskell
Verified email at liverpool.ac.uk - Homepage
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Year
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
MS Arulampalam, S Maskell, N Gordon, T Clapp
IEEE Transactions on signal processing 50 (2), 174-188, 2002
156082002
Smoothing algorithms for state–space models
M Briers, A Doucet, S Maskell
Annals of the Institute of Statistical Mathematics 62, 61-89, 2010
4132010
Poisson models for extended target and group tracking
K Gilholm, S Godsill, S Maskell, D Salmond
Signal and Data Processing of Small Targets 2005 5913, 230-241, 2005
3452005
A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking
S Maskell, N Gordon
IEE Target Tracking: Algorithms and Applications (Ref. No. 2001/174), 2/1-2 …, 2001
2542001
Fast particle smoothing: If I had a million particles
M Klaas, M Briers, N De Freitas, A Doucet, S Maskell, D Lang
Proceedings of the 23rd international conference on Machine learning, 481-488, 2006
2252006
Comparison of EKF, pseudomeasurement, and particle filters for a bearing-only target tracking problem
X Lin, T Kirubarajan, Y Bar-Shalom, S Maskell
Signal and Data Processing of Small Targets 2002 4728, 240-250, 2002
2162002
Recursive track-before-detect with target amplitude fluctuations
MG Rutten, NJ Gordon, S Maskell
IEE Proceedings-Radar, Sonar and Navigation 152 (5), 345-352, 2005
2142005
Social media and pharmacovigilance: a review of the opportunities and challenges
R Sloane, O Osanlou, D Lewis, D Bollegala, S Maskell, M Pirmohamed
British journal of clinical pharmacology 80 (4), 910-920, 2015
1532015
Efficient particle filters for joint tracking and classification
NJ Gordon, S Maskell, T Kirubarajan
Signal and Data Processing of Small Targets 2002 4728, 439-449, 2002
1192002
Group object structure and state estimation with evolving networks and Monte Carlo methods
A Gning, L Mihaylova, S Maskell, SK Pang, S Godsill
IEEE Transactions on Signal Processing 59 (4), 1383-1396, 2010
862010
A rao-blackwellised unscented Kalman filter
M Briers, SR Maskell, R Wright
Sixth International Conference of Information Fusion, 2003. Proceedings of …, 2003
752003
Cramér-Rao bounds for non-linear filtering with measurement origin uncertainty
ML Hernandez, AD Marrs, NJ Gordon, SR Maskell, CM Reed
Proceedings of the Fifth International Conference on Information Fusion …, 2002
752002
Recommendations for the use of social media in pharmacovigilance: lessons from IMI WEB-RADR
J van Stekelenborg, J Ellenius, S Maskell, T Bergvall, O Caster, ...
Drug Safety 42, 1393-1407, 2019
712019
A Bayesian approach to fusing uncertain, imprecise and conflicting information
S Maskell
Information Fusion 9 (2), 259-277, 2008
712008
Assessment of the utility of social media for broad-ranging statistical signal detection in pharmacovigilance: results from the WEB-RADR project
O Caster, J Dietrich, ML Kürzinger, M Lerch, S Maskell, GN Norén, ...
Drug safety 41, 1355-1369, 2018
562018
Efficient particle-based track-before-detect in Rayleigh noise
MG Rutten, NJ Gordon, S Maskell
International Conference on Information Fusion, 693-700, 2004
562004
Particle-based track-before-detect in Rayleigh noise
MG Rutten, NJ Gordon, S Maskell
Signal and Data Processing of Small Targets 2004 5428, 509-519, 2004
552004
Real-time tracking of hundreds of targets with efficient exact JPDAF implementation
P Horridge, S Maskell
2006 9th International Conference on Information Fusion, 1-8, 2006
542006
Special issue on Monte Carlo methods for statistical signal processing
MS Arulampalam, S Maskell, N Gordon, T Clapp
IEEE Trans Signal Process 50 (2), 173, 2002
542002
Multi-target out-of-sequence data association: Tracking using graphical models
SR Maskell, RG Everitt, R Wright, M Briers
Information Fusion 7 (4), 434-447, 2006
512006
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