Simon Maskell
Simon Maskell
Verified email at liverpool.ac.uk - Homepage
Title
Cited by
Cited by
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
140672002
Smoothing algorithms for state–space models
M Briers, A Doucet, S Maskell
Annals of the Institute of Statistical Mathematics 62 (1), 61, 2010
3492010
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, 59130R, 2005
2882005
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 …, 2002
2142002
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
1962006
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
1802005
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
1712002
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
1142002
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
1002015
A rao-blackwellised unscented Kalman filter
M Briers, SR Maskell, R Wright
Sixth International Conference of Information Fusion, 2003. Proceedings of …, 2003
702003
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
692002
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
672010
A Bayesian approach to fusing uncertain, imprecise and conflicting information
S Maskell
Information Fusion 9 (2), 259-277, 2008
672008
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
522004
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
512002
Efficient particle-based track-before-detect in Rayleigh noise
MG Rutten, NJ Gordon, S Maskell
International Conference on Information Fusion, 693-700, 2004
492004
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
462006
Joint tracking of manoeuvring targets and classification of their manoeuvrability
S Maskell
EURASIP Journal on Advances in Signal Processing 2004 (15), 1-12, 2004
462004
A single instruction multiple data particle filter
S Maskell, B Alun-Jones, M Macleod
2006 IEEE Nonlinear Statistical Signal Processing Workshop, 51-54, 2006
362006
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 (12), 1355-1369, 2018
352018
The system can't perform the operation now. Try again later.
Articles 1–20