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Nunes, QM 
ORCID: 0000-0002-7513-8595, Lane, B, Huang, W, Altaf, K, Rainbow, L ORCID: 0000-0003-0447-6885, Armstrong, J, Greenhalf, W, Fernig, D, Hertz-Fowler, C, Cossins, A et al (show 4 more authors)
(2016)
Accurate Admission Transcriptomic Signature of the Severity of Acute Pancreatitis.
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De Melo, flavio and Maskell, S ORCID: 0000-0003-1917-2913
(2019)
A CPHD approximation based on a discrete-Gamma cardinality model.
IEEE Transactions on Signal Processing, 67 (2).
pp. 336-350.
Green, PL and Maskell, S ORCID: 0000-0003-1917-2913
(2017)
Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers.
Mechanical Systems and Signal Processing, 93.
pp. 379-396.
Mishra, C
(2017)
Improving Efficiency and Accuracy of Safety Related Algorithms for Unmanned Aircraft Systems.
PhD thesis, University of Liverpool.
Bolster, AB
(2017)
An Investigation into Trust and Reputation Frameworks for Autonomous Underwater Vehicles.
PhD thesis, University of Liverpool.
Fasiolo, M, de melo, F ORCID: 0000-0001-6271-5990 and Maskell, S ORCID: 0000-0003-1917-2913
(2018)
Langevin Incremental Mixture Importance Sampling.
Statistics and Computing, 28 (3).
pp. 549-561.
Thiyagalingam, J ORCID: 0000-0002-2167-1343, Kekempanos, L and Maskell, S ORCID: 0000-0003-1917-2913
(2017)
MapReduce particle filtering with exact resampling and deterministic runtime.
Eurasip Journal on Advances in Signal Processing, 2017 (1).
De Melo, FE ORCID: 0000-0001-6271-5990
(2017)
Multiple-Object Estimation Techniques for Challenging Scenarios.
PhD thesis, University of Liverpool.
Clark, EJ, Griffith, EJ ORCID: 0000-0001-9360-381X, Maskell, S ORCID: 0000-0003-1917-2913 and Ralph, JF ORCID: 0000-0002-4946-9948
(2017)
Nonlinear Kinematics for Improved Helicopter Tracking.
In: 2017 20th International Conference on Information Fusion (Fusion), 2017-7-10 - 2017-7-13, Xi'an, China.
Mehta, M
(2016)
A Novel Approach to Imaging using a Dual Field-of-View Sensor.
PhD thesis, University of Liverpool.
Kekempanos, L
(2019)
Parallelised Bayesian Optimisation for Deep Learning.
PhD thesis, University of Liverpool.
Green, PL and Maskell, S ORCID: 0000-0003-1917-2913
(2016)
Parameter estimation from big data using a sequential monte carlo sampler.
In: ISMA2016.
De Villiers, JP, Pavlin, G, Jousselme, AL, Maskell, S ORCID: 0000-0003-1917-2913, Waal, ADE, Laskey, K, Blasch, E and Costa, P
(2018)
Uncertainty representation and evaluation for modelling and decision-making in information fusion.
Journal of Advances in Information Fusion, 13 (2).
pp. 198-215.
Maskell, S ORCID: 0000-0003-1917-2913
(2017)
When does Social Media add Value to Pharmacovigilance?
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