2022
L Walker, A Abuzour, D Bollegala, A Clegg, M Gabbay, A Griffiths, C Kullu, G Leeming, F Mair, S Maskell, S Relton, R Ruddle, E Shantsila, M Sperrin, T Van Staa, A Woodall and I Buchan. The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity. Journal of Multimorbidity and Comorbidity, 2022.(pdf)
S Maskell, Y Zhou and A Mira. Control Variates for Constrained Parameters. IEEE Signal Processing Letters. Vol 29, pp. 2333-2337. 2022.(pdf)
C Taylor, S Maskell and J F Ralph. Using hybrid multiobjective machine learning to optimize sonobuoy placement patterns. IET RSN. 2022.(pdf)
M J Wright, L Anastassiou, C Mishra, J Davies, A Phillips, S Maskell and J F Ralph. Cold Atom Inertial Sensors for Navigation Applications. Frontiers in Physics. 2022. (pdf)
R Moore, C Rosato and S Maskell. Refining epidemiological forecasts with simple scoring rules. Phil. Trans. R. Soc. A. 2022. (arXiv preprint), (pdf)
A Phillips, M J Wright, I Riou, S Maddox, S Maskell and J F Ralph. Position fixing with cold atom gravity gradiometers. AVS Quantum Science. 2022. (pdf), (highlight)
C Rosato, L Devlin, V Beraud, P Horridge, T Schön, S Maskell. Efficient Learning of the Parameters of Non-linear Models Using Differentiable Resampling in Particle Filters. IEEE Transactions on Signal Processing. 2022. (pdf),(arXiv preprint)
E Kontsioti, S Maskell, A Bensalem, B Dutta and M Pirmohamed. Similarity and Consistency Assessment of Three Major Online Drug-Drug Interaction Resources. British Journal of Clinical Pharmacology. 2022. (pdf)
J Wu, L Wen, P Green, J Li and S Maskell. Ensemble Kalman Filter based Sequential Monte Carlo Sampler for Sequential Bayesian Inference. Statistics and Computing. 32:20. 2022.(arXiv preprint). (pdf)
E Kontsioti, S Maskell, B Dutta, and M Pirmohamed. A Reference Set of Clinically Relevant Adverse Drug-Drug Interactions. Nature Scientific Data 9. 2022.(pdf)
2021
A Varsi, S Maskell and P Spirakis. An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures. Algorithms. 2021. 14(12) 342. (pdf)
A Garcia-Fernandez, S Maskell, P Horridge and J F Ralph. Gaussian Tracking With Kent-Distributed Direction-of-Arrival Measurements. IEEE Transactions on Vehicular Technology, 2021. (pdf)
P L Green, L Devlin, R Moore, R Jackson, J Li and S Maskell. Increasing the Efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels. Mechanical Systems and Signal Processing. Vol 162. 2022.(arXiv preprint). (pdf).
A F Garcia-Fernandez, J F Ralph, P Horridge and S Maskell. A Gaussian filtering method for multi-target tracking with nonlinear/non-Gaussian measurements. IEEE Transactions on Aerospace and Electronic Systems. 2021. (pdf)
2020
A Varsi, J Taylor, L Kekempanos, E Pyzer-Knapp and S Maskell. A Fast Parallel Particle Filter for Shared Memory Systems. IEEE Signal Processing Letters. 2020. (pdf)
A Garcia-Fernandez and S Maskell. Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations. IEEE Transactions on Signal Processing. 68: 1300-1314. 2020. (pdf)
2019
J van Stekelenborg, J Ellenius, S Maskell, T Bergvall, O Caster, N Dasgupta, J Dietrich, S Gama, D Lewis, V Newbould, S Brosch, C Pierce, G Powell, A Ptaszynska-Neophytou, A Wisniewski, P Tregunno, G N Noren and M Pirmohamed. Recommendations for the use of Social Media in Pharmacovigilance: Lessons from IMI WEB-RADR. Drug Safety. 2019. (pdf).
C Barrett-Pink, L Alison, S Maskell and N Shortland. On the Bridges: Insight Into the Current and Future Use of Automated Systems as Seen by Royal Navy Personnel. Journal of Cognitive Engineering and Decision Making. 2019. (pdf)
C Pierce, S de Vries, S Bodin-Parssinen, L Harmark, P Tregunno, D Lewis, S Maskell, R Van Eemeren, A Ptaszynska-Neophytou, V Newbould, N Dasgupta, A Wisniewski, S Gama and P Mol. Recommendations on the Use of Mobile Applications for the Collection and Communication of Pharmaceutical Product Safety Information: Lessons from IMI WEB-RADR. Drug Safety. 2019. (pdf)
C Mishra, S Maskell, S Au, and J F Ralph. Efficient estimation of probability of conflict between air traffic using Subset Simulation. IEEE Transactions on Aerospace and Electronic Systems. 2019.(pdf)
F De Melo and S Maskell. A CPHD approximation based on a discrete-Gamma cardinality model. IEEE Transactions on Signal Processing, 67(2):336-350, January 2019.(pdf)
2018
O Caster, J Dietrich, M-L Kurzinger, M Lerch, S Maskell, G N Noren, S Tcherny-Lessenot, B Vroman, A Wisniewski and J van Stekelenborg. An assessment of the utility of social media for broad-ranging statistical signal detection in pharmacovigilance: Results from the WEB-RADR project. Drug Safety. 2018.(pdf)
J F Ralph, M Toros, S Maskell, K Jacobs, M Rashid, A J Setter and H Ulbricht. Dynamical model selection near the quantum-classical boundary. Accepted for publication in Physical Review A. 2018.(arXiv preprint). (pdf)
D Bollegala, S Maskell, R Sloane, J Hajne and M Pirmohammed.Learning Causality Patterns for Detecting Adverse Drug Reactions from Social Media. JMIR Public Health and Surveillance. Vol 4, No 2. May 2018.(pdf)
E J Griffith, C Mishra, J F Ralph and S Maskell. A System for the Generation of Synthetic Wide Area Aerial Surveillance Imagery. Simulation Modelling Practice and Theory. Volume 84, May 2018, Pages 286-308.(pdf),(arXiv preprint),(example flyover video),(example simulated ARGUS video)
2017
J F Ralph, S Maskell, K Jacobs. Multi-parameter estimation along quantum trajectories with Sequential Monte Carlo methods. Physical Review A. Vol. 96, No. 5. November 2017.(pdf),(arXiv preprint)
J Thiyagalingam, L Kekempanos and S Maskell. MapReduce Particle Filtering with Exact Resampling and Deterministic Runtime. EURASIP Journal on Advances in Signal Processing (Special issue on Advanced Computational Methods for Bayesian Signal Processing). 2017:71. (pdf).(arXiv preprint)
M Fassiolo, F de Melo and S Maskell. Langevin Incremental Mixture Importance Sampling. Statistics and Computing. 2017.(pdf)
P Green and S Maskell. Estimating the parameters of dynamical systems from Big Data using Sequential Monte Carlo samplers. Mechanical Systems and Signal Processing. 2017. (pdf), (preprints.org)
J Raphael, S Maskell and E Sklar. An Intersection-centric Auction-based Traffic Signal Control Framework. In Agent-Based Modeling of Sustainable Behaviors (book). Springer, 2017.(chapter)
2015 <
R Sloane, O Osanlou, D Lewis, D Bollegala, S Maskell and M Pirmohamed. Social Media and Pharmacovigilance: A Review of the Opportunities and Challenges. British Journal of Clinical Pharmacology. 2015. (pdf)
M Limniou, J Downes, S Maskell, M Bowden and J Marshall. Datasets capturing students' and teachers' views on the role of learning technology. British Journal of Educational Technology, Special Issue: Open Data in Learning Technology. Volume 46, Issue 5, pages 1081–1091, September 2015.(pdf)
H Bhaskar, L Mihaylova and S Maskell. Articulated Human Body Parts Detection Based on Cluster Background Subtraction and Foreground Matching. Neurocomputing, Special Issue on Behaviours in Video. Volume 100. Pages 58-73. 2013.(pdf)
A Gning, L Mihaylova, S Maskell, S Pang and S Godsill. Group Object Structure and State Estimation with Evolving Networks and Monte Carlo Methods. Volume 59, Issue 4, April 2011. pp 1383-1396. IEEE Transactions on Signal Processing.(pdf)
P Minvielle, A Doucet, A Marrs and S Maskell.A Bayesian Approach to Joint Tracking and Identification of Geometric Shapes in Video Sequences. Journal of Image and Vision Computing. Volume 28, Issue 1, January 2010, Pages 111-123.(pdf)
M Briers, A Doucet, and S Maskell. Smoothing algorithms for state-space models. Volume 62, Number 1, 61-89. Annals of the Institute of Statistical Mathematics. December 2010.(pdf)
S Maskell. Statistical Methods for Target Tracking. In Wiley Encyclopedia of Computer Science and Engineering (book). Edited by B W Wah. Published by Hoboken, NJ, January 2009. Vol 5. pp 2820-2829.(pdf)
S Maskell. A Bayesian Approach to Fusing Uncertain, Imprecise and Conflicting Information. Information Fusion Journal. 9(2):259-277. April 2008.(pdf)
S Maskell, R Everitt, R Wright and M Briers. Multi-Target Out-of-Sequence Data Association: Tracking Using Graphical Models. Information Fusion Journal, 7(4):434-447. December 2006.(pdf)
K Hermiston and S Maskell. Fusion Challenges in the Detection and Identification of Difficult Objects and Events. Journal of Defence Science. 10(3), September 2005.
M Rutten, N Gordon and S Maskell. Recursive Track-Before-Detect with Target Amplitude Fluctuations. IEE Proceedings on Radar Sonar Navigation, 152(5), October 2005, pp345-352 (pdf).
S Maskell, M Briers, R Wright and P Horridge. Tracking using a Radar and a Problem Specific Proposal Distribution in a Particle Filter. IEE Proceedings on Radar Sonar Navigation, 152(5), October 2005, pp315-322 (pdf).
S Maskell. Joint Tracking Manoevring Targets and Classification of Their Maneovrability. EURASIP JASP 2004:15 (2004) 2339-2350 (Special Issue of EURASIP Journal on Applied Signal Processing on Particle Filtering in Signal Processing) (pdf).
S Maskell. Basics of the Particle Filter. In N Shephard and A Harvey, editors, State Space and Unobserved Component Models (book). Cambridge University Press, 2004.
S Maskell, N Gordon, M Rollason, and D Salmond. Efficient Multitarget Tracking using Particle Filters. Journal Image and Vision Computing, 21(10):931-939, September 2003. (pdf)
M S Arulampalam, S Maskell, N Gordon, and T Clapp. A Tutorial on Particle Filters for On-line Nonlinear/Non-Gaussian Bayesian Tracking. IEEE Transactions on Signal Processing, 50(2):174-188, February 2002. (pdf). Winner of IEEE Donald G Fink Prize in 2019.
Back to: Centre for Doctoral Training in Distributed Algorithms