A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. - M. Sanjeev Arulampalam; Simon Maskell; Neil J. Gordon; Tim Clapp (IEEE Trans. Signal Process., 2002)

Efficient particle filtering for multiple target tracking with application to tracking in structured images. - Simon Maskell; Malcolm Rollason; Neil J. Gordon; David Salmond (Image Vis. Comput., 2003)

Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability. - Simon Maskell (EURASIP J. Adv. Signal Process., 2004)

Bayesian visual tracking with existence process. - Jaco Vermaak; Simon Maskell; Mark Briers; Patrick Pérez (ICIP (1), 2005)

Real-Time Tracking Of Hundreds Of Targets With Efficient Exact JPDAF Implementation. - Paul R. Horridge; Simon Maskell (FUSION, 2006)

Joint Tracking and Classification of Airbourne Objects using Particle Filters and the Continuous Transferable Belief Model. - Gavin Powell; Dave Marshall; Philippe Smets; Branko Ristic 001; Simon Maskell (FUSION, 2006)

Fast particle smoothing: if I had a million particles. - Mike Klaas; Mark Briers; Nando de Freitas; Arnaud Doucet; Simon Maskell; Dustin Lang (ICML, 2006)

Multi-target out-of-sequence data association: Tracking using graphical models. - Simon Maskell; Richard G. Everitt; Robert Wright; Mark Briers (Inf. Fusion, 2006)

Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection. - Harish Bhaskar; Lyudmila Mihaylova; Simon Maskell (GI Jahrestagung (2), 2007)

How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability? - Vitaliy Kurlin; Lyudmila Mihaylova; Simon Maskell (CoRR, 2007)

Ground target group structure and state estimation with particle filtering. - Amadou Gning; Lyudmila Mihaylova; Simon Maskell; Sze Kim Pang; Simon J. Godsill (FUSION, 2008)

A Bayesian approach to fusing uncertain, imprecise and conflicting information. - Simon Maskell (Inf. Fusion, 2008)

Statistical Methods for Target Tracking. - Simon Maskell (Wiley Encyclopedia of Computer Science and Engineering, 2008)

A scalable method of tracking targets with dependent distributions. - Paul R. Horridge; Simon Maskell (FUSION, 2009)

Searching for, initiating and tracking multiple targets using existence probabilities. - Paul R. Horridge; Simon Maskell (FUSION, 2009)

Fusion of data from sources with different levels of trust. - David A. Nevell; Simon Maskell; Paul R. Horridge; Hayleigh L. Barnett (FUSION, 2010)

A Bayesian approach to joint tracking and identification of geometric shapes in video sequences. - Pierre Minvielle; Arnaud Doucet; Alan Marrs; Simon Maskell (Image Vis. Comput., 2010)

Using a probabilistic hypothesis density filter to confirm tracks in a multi- target environment. - Paul R. Horridge; Simon Maskell (GI-Jahrestagung, 2011)

Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods. - Amadou Gning; Lyudmila Mihaylova; Simon Maskell; Sze Kim Pang; Simon J. Godsill (IEEE Trans. Signal Process., 2011)

Maneuvering target tracking using an unbiased nearly constant heading model. - Panagiotis-Aristidis Kountouriotis; Simon Maskell (FUSION, 2012)

Optimised proposals for improved propagation of multi-modal distributions in particle filters. - Simon Maskell; Simon Julier (FUSION, 2013)

Articulated human body parts detection based on cluster background subtraction and foreground matching. - Harish Bhaskar; Lyudmila Mihaylova; Simon Maskell (Neurocomputing, 2013)

Efficient data structures for large scale tracking. - Richard O. Lane; Mark Briers; T. M. Cooper; Simon Maskell (FUSION, 2014)

From Goods to Traffic: First Steps Toward an Auction-Based Traffic Signal Controller. - Jeffery Raphael; Simon Maskell; Elizabeth Sklar (PAAMS, 2015)

First Steps Toward an Auction-Based Traffic Signal Controller. - Jeffery Raphael; Simon Maskell; Elizabeth Sklar (PAAMS, 2015)

Datasets reflecting students' and teachers' views on the use of learning technology in a UK university. - Maria Limniou; John J. Downes; Simon Maskell (Br. J. Educ. Technol., 2015)

Using a Bayesian model for confidence to make decisions that consider epistemic regret. - Ross Anderson; Nick Hare; Simon Maskell (FUSION, 2016)

Geometric separation of superimposed images. - Mitul M. Mehta; Elias J. Griffith; Simon Maskell; Jason F. Ralph (FUSION, 2016)

An Empirical Investigation of Adaptive Traffic Control Parameters. - Jeffery Raphael; Elizabeth I. Sklar; Simon Maskell (ATT@IJCAI, 2016)

Nonlinear kinematics for improved helicopter tracking. - E. J. Clark; Elias J. Griffith; Simon Maskell; Jason F. Ralph (FUSION, 2017)

RB2 - PF : A novel filter-based monocular visual odometry algorithm. - Yifan Zhou; Simon Maskell (FUSION, 2017)

Moving object detection using background subtraction for a moving camera with pronounced parallax. - Yifan Zhou; Simon Maskell (SDF, 2017)

MapReduce particle filtering with exact resampling and deterministic runtime. - Jeyarajan Thiyagalingam; Lykourgos Kekempanos; Simon Maskell (EURASIP J. Adv. Signal Process., 2017)

Fusing Bearing-Only Measurements with and Without Propagation Delays Using Particle Trajectories. - Paul R. Horridge; Simon Maskell (FUSION, 2018)

Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion. - Roberta Piroddi; John Yannis Goulermas; Simon Maskell; Jason F. Ralph (FUSION, 2018)

Convolutional Neural Networks for Aerial Vehicle Detection and Recognition. - Amir Soleimani; Nasser M. Nasrabadi; Elias J. Griffith; Jason F. Ralph; Simon Maskell (CoRR, 2018)

Langevin incremental mixture importance sampling. - Matteo Fasiolo; Flávio Eler de Melo; Simon Maskell (Stat. Comput., 2018)

A system for the generation of synthetic Wide Area Aerial surveillance imagery. - Elias J. Griffith; Chinmaya Mishra; Jason F. Ralph; Simon Maskell (Simul. Model. Pract. Theory, 2018)

A Multi-Sensor Simulation Environment for Autonomous Cars. - Rui Song; Paul R. Horridge; Simon Pemberton; Jon Wetherall; Simon Maskell; Jason F. Ralph (FUSION, 2019)

Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs). - Yifan Zhou; Simon Maskell (FUSION, 2019)

A Generic Anomaly Detection Approach Applied to Mixture-of-unigrams and Maritime Surveillance Data. - Yifan Zhou; James Wright; Simon Maskell (SDF, 2019)

A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler. - Alessandro Varsi; Lykourgos Kekempanos; Jeyarajan Thiyagalingam; Simon Maskell (CoRR, 2019)

Efficient Estimation of Probability of Conflict Between Air Traffic Using Subset Simulation. - Chinmaya Mishra; Simon Maskell; Siu-Kui Au; Jason F. Ralph (IEEE Trans. Aerosp. Electron. Syst., 2019)

A CPHD Approximation Based on a Discrete-Gamma Cardinality Model. - Flávio Eler de Melo; Simon Maskell (IEEE Trans. Signal Process., 2019)

Bernoulli merging for the Poisson multi-Bernoulli mixture filter. - Marco Fontana; Ángel F. García-Fernández; Simon Maskell (FUSION, 2020)

Continuous-discrete trajectory PHD and CPHD filters. - Ángel F. García-Fernández; Simon Maskell (FUSION, 2020)

Integrated Expected Likelihood Particle Filters. - Michael J. Ransom; Lyudmil Vladimirov; Paul R. Horridge; Jason F. Ralph; Simon Maskell (FUSION, 2020)

A SMC Sampler for Joint Tracking and Destination Estimation from Noisy Data. - Lyudmil Vladimirov; Simon Maskell (FUSION, 2020)

Robust and Efficient Image Alignment Method Using the Student-t Distribution. - Yifan Zhou; Simon Maskell (FUSION, 2020)

Reliability Validation of Learning Enabled Vehicle Tracking. - Youcheng Sun; Yifan Zhou; Simon Maskell; James Sharp; Xiaowei Huang 001 (ICRA, 2020)

Practical Verification of Neural Network Enabled State Estimation System for Robotics. - Wei Huang 035; Yifan Zhou; Youcheng Sun; James Sharp; Simon Maskell; Xiaowei Huang 001 (IROS, 2020)

Weather Effects on Obstacle Detection for Autonomous Car. - Rui Song; Jon Wetherall; Simon Maskell; Jason F. Ralph (VEHITS, 2020)

Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics. - Wei Huang 035; Yifan Zhou; Youcheng Sun; Alec Banks; Jie Meng; James Sharp; Simon Maskell; Xiaowei Huang 001 (CoRR, 2020)

A Fast Parallel Particle Filter for Shared Memory Systems. - Alessandro Varsi; Jack Taylor; Lykourgos Kekempanos; Edward Pyzer-Knapp; Simon Maskell (IEEE Signal Process. Lett., 2020)

Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations. - Ángel F. García-Fernández; Simon Maskell (IEEE Trans. Signal Process., 2020)

SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure. - Aikaterini Chatzopoulou; Ángel F. García-Fernández; Edward Pyzer-Knapp; Simon Maskell (FUSION, 2021)

An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA. - Ángel F. García-Fernández; Marcel L. Hernandez; Simon Maskell (FUSION, 2021)

Posterior Cramér-Rao Bounds for Tracking Intermittently Visible Targets in Clutter. - Marcel L. Hernandez; Michael J. Ransom; Simon Maskell (FUSION, 2021)

Classical Tracking for Quantum Trajectories. - Jason F. Ralph; Simon Maskell; Michael J. Ransom; Hendrik Ulbricht (FUSION, 2021)

Track-before-detect Bernoulli filters for combining passive and active sensors. - Michael J. Ransom; Marcel L. Hernandez; Jason F. Ralph; Simon Maskell (FUSION, 2021)

A Psychology-Driven Computational Analysis of Political Interviews. - Darren Cook; Miri Zilka; Simon Maskell; Laurence Alison (Interspeech, 2021)

Early Predictor for Student Success Based on Behavioural and Demographical Indicators. - Efthyvoulos Drousiotis; Lei Shi 003; Simon Maskell (ITS, 2021)

An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures. - Alessandro Varsi; Simon Maskell; Paul G. Spirakis (Algorithms, 2021)

Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters. - Conor Rosato; Paul R. Horridge; Thomas B. Schön; Simon Maskell (CoRR, 2021)

A Gaussian Filtering Method for Multitarget Tracking With Nonlinear/Non-Gaussian Measurements. - Ángel F. García-Fernández; Jason F. Ralph; Paul R. Horridge; Simon Maskell (IEEE Trans. Aerosp. Electron. Syst., 2021)

Gaussian Tracking With Kent-Distributed Direction-of-Arrival Measurements. - Ángel F. García-Fernández; Simon Maskell; Paul R. Horridge; Jason F. Ralph (IEEE Trans. Veh. Technol., 2021)

Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods. - Efthyvoulos Drousiotis; Lei Shi 003; Paul G. Spirakis; Simon Maskell (EANN, 2022)

A vehicle detector based on notched power for distributed acoustic sensing. - Marco Fontana; Ángel F. García-Fernández; Simon Maskell (FUSION, 2022)

Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation. - Ángel F. García-Fernández; Jason F. Ralph; Paul R. Horridge; Simon Maskell (FUSION, 2022)

Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation. - Alexey Narykov; Michael Wright; Ángel F. García-Fernández; Simon Maskell; Jason F. Ralph (FUSION, 2022)

Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal. - Conor Rosato; John Harris; Jasmina Panovska-Griffiths; Simon Maskell (FUSION, 2022)

Can We Automate the Analysis of Online Child Sexual Exploitation Discourse? - Darren Cook; Miri Zilka; Heidi DeSandre; Susan Giles; Adrian Weller; Simon Maskell (CoRR, 2022)

Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference. - Jiangqi Wu; Linjie Wen; Peter L. Green; Jinglai Li; Simon Maskell (Stat. Comput., 2022)

Control Variates for Constrained Variables. - Simon Maskell; Yifan Zhou; Antonietta Mira (IEEE Signal Process. Lett., 2022)

Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters. - Conor Rosato; Lee Devlin; Vincent Béraud; Paul R. Horridge; Thomas B. Schön; Simon Maskell (IEEE Trans. Signal Process., 2022)

Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies? - Darren Cook; Miri Zilka; Heidi DeSandre; Susan Giles; Simon Maskell (AIES, 2023)

Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks. - Alberto Acuto 001; Simon Maskell; Jack D. (CAMLIS, 2023)

Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation. - Efthyvoulos Drousiotis; Dan W. Joyce; Robert C. Dempsey; Alina Haines; Paul G. Spirakis; Lei Shi 003; Simon Maskell (AIAI (1), 2023)

Bayesian Decision Trees Inspired from Evolutionary Algorithms. - Efthyvoulos Drousiotis; Alexander M. Phillips; Paul G. Spirakis; Simon Maskell (LION, 2023)

A Shared Memory SMC Sampler for Decision Trees. - Efthyvoulos Drousiotis; Alessandro Varsi; Paul G. Spirakis; Simon Maskell (SBAC-PAD, 2023)

An O(log2 N) SMC2 Algorithm on Distributed Memory with an Approx. Optimal L-Kernel. - Conor Rosato; Alessandro Varsi; Joshua Murphy; Simon Maskell (SDF-MFI, 2023)

Parallel Approaches to Accelerate Bayesian Decision Trees. - Efthyvoulos Drousiotis; Paul G. Spirakis; Simon Maskell (CoRR, 2023)

Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. - Conor Rosato; Robert E. Moore; Matthew Carter; John Heap; John Harris; Jose Storopoli; Simon Maskell (Inf., 2023)

Coherent Long-Time Integration and Bayesian Detection With Bernoulli Track-Before-Detect. - Murat Üney; Paul R. Horridge; Bernard Mulgrew; Simon Maskell (IEEE Signal Process. Lett., 2023)

Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter. - Marco Fontana; Ángel F. García-Fernández; Simon Maskell (IEEE Trans. Aerosp. Electron. Syst., 2023)

Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression. - Yamiko Joseph Msosa; Arturas Grauslys; Yifan Zhou; Tao Wang 036; Iain E. Buchan; Paul Langan; Steven Foster; Michael Walker; Michael Pearson; Amos Folarin; Angus Roberts; Simon Maskell; et al. (IEEE J. Biomed. Health Informatics, 2023)

Parameterizing Hierarchical Particle Filters with Concept Drift for Time-varying Parameter Estimation. - Joshua Murphy; Conor Rosato; Andrew Millard; Simon Maskell (APSIPA, 2024)

Identifying Diagnostic Arguments in Abstract Argumentation. - Jordan Robinson; Katie Atkinson; Simon Maskell; Chris Reed 001 (COMMA, 2024)

On Diagnostic Arguments in Abstract Argumentation. - Jordan Robinson; Katie Atkinson; Simon Maskell; Chris Reed 001 (SAFA@COMMA, 2024)

A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing. - Marco Fontana; Thomas Hayder; William Freilinger; Ángel F. García-Fernández; Simon Maskell (FUSION, 2024)

An SMC Sampler for Decision Trees with Enhanced Initial Proposal for Stochastic Metaheuristic Optimization. - Efthyvoulos Drousiotis; Alessandro Varsi; Paul G. Spirakis; Simon Maskell (LION, 2024)

Conditional Importance Resampling for an Enhanced Sequential Monte Carlo Sampler. - Soodeh Habibi; Efthyvoulos Drousiotis; Alessandro Varsi; Simon Maskell; Robert E. Moore; Paul G. Spirakis (LION, 2024)

Enhanced SMC2: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals. - Conor Rosato; Joshua Murphy; Alessandro Varsi; Paul R. Horridge; Simon Maskell (MFI, 2024)

Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review. - Conor Rosato; Peter L. Green; John Harris; Simon Maskell; William Hope; Alessandro Gerada; Alex Howard (IEEE Access, 2024)

The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler Without Accept/Reject. - Lee Devlin; Matthew Carter; Paul R. Horridge; Peter L. Green; Simon Maskell (IEEE Signal Process. Lett., 2024)

Nonmyopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation. - Marcel L. Hernandez; Ángel F. García-Fernández; Simon Maskell (IEEE Trans. Aerosp. Electron. Syst., 2024)

A General-Purpose Fixed-Lag No U-Turn Sampler for Nonlinear Non-Gaussian State Space Models. - Alessandro Varsi; Lee Devlin; Paul R. Horridge; Simon Maskell (IEEE Trans. Aerosp. Electron. Syst., 2024)

Adversarial Attacks on Trees: Size Matters. - Efthyvoulos Drousiotis; Soodeh Habibi; Alessandro Varsi; Simon Maskell; Paul G. Spirakis; Tom Lovett (AIAI (1), 2025)

Accounting for the Impact of Real-World Data and Costs in Autonomous Cyber Defence. - Adam Neal; Alberto Acuto 001; Peter L. Green; Chris Lear; Nick Hare; Simon Maskell (CSR, 2025)

Generalising Covariance Intersection for multiple posterior densities in multi-sensor fusion. - Murat Üney; Simon J. Julier; Simon Maskell (SSP, 2025)

Notch power detector for multiple vehicle trajectory estimation with distributed acoustic sensing. - Marco Fontana; Ángel F. García-Fernández; Simon Maskell (Signal Process., 2025)

An Entropic Metric for Measuring Calibration of Machine Learning Models. - Daniel James Sumler; Lee Devlin; Simon Maskell; Richard O. Lane (CoRR, 2025)

Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers. - Andrew Millard; Joshua Murphy; Daniel Frisch; Simon Maskell (CoRR, 2025)

Poisson multi-Bernoulli mixture filter for trajectory measurements. - Marco Fontana; Ángel F. García-Fernández; Simon Maskell (CoRR, 2025)

Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks. - Andrew Millard; Joshua Murphy; Simon Maskell; Zheng Zhao (CoRR, 2025)

Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods. - Conor Rosato; Harvinder Lehal; Simon Maskell; Lee Devlin; Malcolm Strens (CoRR, 2025)

Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles. - Andrew Millard; Zheng Zhao; Joshua Murphy; Simon Maskell (CoRR, 2025)

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals. - Joshua Murphy; Conor Rosato; Andrew Millard; Lee Devlin; Paul R. Horridge; Simon Maskell (CoRR, 2025)