Simon Maskell
Simon Maskell
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Cited by
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
Smoothing algorithms for state–space models
M Briers, A Doucet, S Maskell
Annals of the Institute of Statistical Mathematics 62, 61-89, 2010
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
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
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
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
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
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
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
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
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
A rao-blackwellised unscented Kalman filter
M Briers, SR Maskell, R Wright
Sixth International Conference of Information Fusion, 2003. Proceedings of …, 2003
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
A Bayesian approach to fusing uncertain, imprecise and conflicting information
S Maskell
Information Fusion 9 (2), 259-277, 2008
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
Efficient particle-based track-before-detect in Rayleigh noise
MG Rutten, NJ Gordon, S Maskell
International Conference on Information Fusion, 693-700, 2004
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
Recommendations on the use of mobile applications for the collection and communication of pharmaceutical product safety information: lessons from IMI WEB-RADR
CE Pierce, ST de Vries, S Bodin-Parssinen, L Härmark, P Tregunno, ...
Drug safety 42, 477-489, 2019
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
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
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