Simon Maskell

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 71

Top Topics

Sequential Monte Carlo

Bayesian Decision

Particle Filter

Top Venues

IEEE Trans. Aerosp. Electron. Syst.

IEEE Signal Process. Lett.

Publications

Conor Rosato, Joshua Murphy, Alessandro Varsi, Paul R. Horridge, Simon Maskell
: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals. CoRR (2024)
Alessandro Varsi, Lee Devlin, Paul R. Horridge, Simon Maskell
A General-Purpose Fixed-Lag No U-Turn Sampler for Nonlinear Non-Gaussian State Space Models. IEEE Trans. Aerosp. Electron. Syst. 60 (4) (2024)
Lee Devlin, Matthew Carter, Paul R. Horridge, Peter L. Green, Simon Maskell
The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler Without Accept/Reject. IEEE Signal Process. Lett. 31 (2024)
Conor Rosato, Peter L. Green, John Harris, Simon Maskell, William Hope, Alessandro Gerada, Alex Howard
Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review. IEEE Access 12 (2024)
Marcel L. Hernandez, Ángel F. García-Fernández, Simon Maskell
Nonmyopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation. IEEE Trans. Aerosp. Electron. Syst. 60 (1) (2024)
Yamiko Joseph Msosa, Arturas Grauslys, Yifan Zhou, Tao Wang, Iain E. Buchan, Paul Langan, Steven Foster, Michael Walker, Michael Pearson, Amos Folarin, Angus Roberts, Simon Maskell, Richard J. B. Dobson, Cecil Kullu, Dennis Kehoe
Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Efthyvoulos Drousiotis, Dan W. Joyce, Robert C. Dempsey, Alina Haines, Paul G. Spirakis, Lei Shi, Simon Maskell
Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation. AIAI (1) (2023)
Marco Fontana, Ángel F. García-Fernández, Simon Maskell
Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter. IEEE Trans. Aerosp. Electron. Syst. 59 (5) (2023)
Alberto Acuto, Simon Maskell, Jack D.
Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks. CAMLIS (2023)
Conor Rosato, Robert E. Moore, Matthew Carter, John Heap, John Harris, Jose Storopoli, Simon Maskell
Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. Inf. 14 (3) (2023)
Efthyvoulos Drousiotis, Alessandro Varsi, Paul G. Spirakis, Simon Maskell
A Shared Memory SMC Sampler for Decision Trees. SBAC-PAD (2023)
Efthyvoulos Drousiotis, Paul G. Spirakis, Simon Maskell
Parallel Approaches to Accelerate Bayesian Decision Trees. CoRR (2023)
Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Simon Maskell
Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies? AIES (2023)
Murat Üney, Paul R. Horridge, Bernard Mulgrew, Simon Maskell
Coherent Long-Time Integration and Bayesian Detection With Bernoulli Track-Before-Detect. IEEE Signal Process. Lett. 30 (2023)
Efthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis, Simon Maskell
Bayesian Decision Trees Inspired from Evolutionary Algorithms. LION (2023)
Efthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis, Simon Maskell
Bayesian Decision Trees Inspired from Evolutionary Algorithms. CoRR (2023)
Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Adrian Weller, Simon Maskell
Can We Automate the Analysis of Online Child Sexual Exploitation Discourse? CoRR (2022)
Ángel F. García-Fernández, Jason F. Ralph, Paul R. Horridge, Simon Maskell
Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation. FUSION (2022)
Conor Rosato, Lee Devlin, Vincent Béraud, Paul R. Horridge, Thomas B. Schön, Simon Maskell
Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters. IEEE Trans. Signal Process. 70 (2022)
Simon Maskell, Yifan Zhou, Antonietta Mira
Control Variates for Constrained Variables. IEEE Signal Process. Lett. 29 (2022)
Jiangqi Wu, Linjie Wen, Peter L. Green, Jinglai Li, Simon Maskell
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference. Stat. Comput. 32 (1) (2022)
Efthyvoulos Drousiotis, Lei Shi, Paul G. Spirakis, Simon Maskell
Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods. EANN (2022)
Alexey Narykov, Michael Wright, Ángel F. García-Fernández, Simon Maskell, Jason F. Ralph
Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation. FUSION (2022)
Conor Rosato, John Harris, Jasmina Panovska-Griffiths, Simon Maskell
Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal. FUSION (2022)
Marco Fontana, Ángel F. García-Fernández, Simon Maskell
A vehicle detector based on notched power for distributed acoustic sensing. FUSION (2022)
Aikaterini Chatzopoulou, Ángel F. García-Fernández, Edward Pyzer-Knapp, Simon Maskell
SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure. FUSION (2021)
Ángel F. García-Fernández, Jason F. Ralph, Paul R. Horridge, Simon Maskell
A Gaussian Filtering Method for Multitarget Tracking With Nonlinear/Non-Gaussian Measurements. IEEE Trans. Aerosp. Electron. Syst. 57 (5) (2021)
Alessandro Varsi, Simon Maskell, Paul G. Spirakis
An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures. Algorithms 14 (12) (2021)
Michael J. Ransom, Marcel L. Hernandez, Jason F. Ralph, Simon Maskell
Track-before-detect Bernoulli filters for combining passive and active sensors. FUSION (2021)
Marcel L. Hernandez, Michael J. Ransom, Simon Maskell
Posterior Cramér-Rao Bounds for Tracking Intermittently Visible Targets in Clutter. FUSION (2021)
Ángel F. García-Fernández, Simon Maskell, Paul R. Horridge, Jason F. Ralph
Gaussian Tracking With Kent-Distributed Direction-of-Arrival Measurements. IEEE Trans. Veh. Technol. 70 (7) (2021)
Conor Rosato, Paul R. Horridge, Thomas B. Schön, Simon Maskell
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters. CoRR (2021)
Jason F. Ralph, Simon Maskell, Michael J. Ransom, Hendrik Ulbricht
Classical Tracking for Quantum Trajectories. FUSION (2021)
Ángel F. García-Fernández, Marcel Hernandez, Simon Maskell
An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA. CoRR (2021)
Efthyvoulos Drousiotis, Lei Shi, Simon Maskell
Early Predictor for Student Success Based on Behavioural and Demographical Indicators. ITS (2021)
Ángel F. García-Fernández, Marcel Hernandez, Simon Maskell
An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA. FUSION (2021)
Darren Cook, Miri Zilka, Simon Maskell, Laurence Alison
A Psychology-Driven Computational Analysis of Political Interviews. Interspeech (2021)
Lyudmil Vladimirov, Simon Maskell
A SMC Sampler for Joint Tracking and Destination Estimation from Noisy Data. FUSION (2020)
Ángel F. García-Fernández, Simon Maskell
Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations. IEEE Trans. Signal Process. 68 (2020)
Yifan Zhou, Simon Maskell
Robust and Efficient Image Alignment Method Using the Student-t Distribution. FUSION (2020)
Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang
Reliability Validation of Learning Enabled Vehicle Tracking. ICRA (2020)
Michael J. Ransom, Lyudmil Vladimirov, Paul R. Horridge, Jason F. Ralph, Simon Maskell
Integrated Expected Likelihood Particle Filters. FUSION (2020)
Alessandro Varsi, Jack Taylor, Lykourgos Kekempanos, Edward Pyzer-Knapp, Simon Maskell
A Fast Parallel Particle Filter for Shared Memory Systems. IEEE Signal Process. Lett. 27 (2020)
Marco Fontana, Ángel F. García-Fernández, Simon Maskell
Bernoulli merging for the Poisson multi-Bernoulli mixture filter. FUSION (2020)
Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang
Reliability Validation of Learning Enabled Vehicle Tracking. CoRR (2020)
Wei Huang, Yifan Zhou, Youcheng Sun, James Sharp, Simon Maskell, Xiaowei Huang
Practical Verification of Neural Network Enabled State Estimation System for Robotics. IROS (2020)
Rui Song, Jon Wetherall, Simon Maskell, Jason F. Ralph
Weather Effects on Obstacle Detection for Autonomous Car. VEHITS (2020)
Wei Huang, Yifan Zhou, Youcheng Sun, Alec Banks, Jie Meng, James Sharp, Simon Maskell, Xiaowei Huang
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics. CoRR (2020)
Ángel F. García-Fernández, Simon Maskell
Continuous-discrete trajectory PHD and CPHD filters. FUSION (2020)
Rui Song, Paul R. Horridge, Simon Pemberton, Jon Wetherall, Simon Maskell, Jason F. Ralph
A Multi-Sensor Simulation Environment for Autonomous Cars. FUSION (2019)
Yifan Zhou, Simon Maskell
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs). CoRR (2019)
Alessandro Varsi, Lykourgos Kekempanos, Jeyarajan Thiyagalingam, Simon Maskell
A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler. CoRR (2019)
Chinmaya Mishra, Simon Maskell, Siu-Kui Au, Jason F. Ralph
Efficient Estimation of Probability of Conflict Between Air Traffic Using Subset Simulation. IEEE Trans. Aerosp. Electron. Syst. 55 (6) (2019)
Flávio Eler de Melo, Simon Maskell
A CPHD Approximation Based on a Discrete-Gamma Cardinality Model. IEEE Trans. Signal Process. 67 (2) (2019)
Yifan Zhou, James Wright, Simon Maskell
A Generic Anomaly Detection Approach Applied to Mixture-of-unigrams and Maritime Surveillance Data. SDF (2019)
Yifan Zhou, Simon Maskell
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs). FUSION (2019)
Matteo Fasiolo, Flávio Eler de Melo, Simon Maskell
Langevin incremental mixture importance sampling. Stat. Comput. 28 (3) (2018)
Elias J. Griffith, Chinmaya Mishra, Jason F. Ralph, Simon Maskell
A System for the Generation of Synthetic Wide Area Aerial Surveillance Imagery. CoRR (2018)
Paul R. Horridge, Simon Maskell
Fusing Bearing-Only Measurements with and Without Propagation Delays Using Particle Trajectories. FUSION (2018)
Elias J. Griffith, Chinmaya Mishra, Jason F. Ralph, Simon Maskell
A system for the generation of synthetic Wide Area Aerial surveillance imagery. Simul. Model. Pract. Theory 84 (2018)
Amir Soleimani, Nasser M. Nasrabadi, Elias J. Griffith, Jason F. Ralph, Simon Maskell
Convolutional Neural Networks for Aerial Vehicle Detection and Recognition. CoRR (2018)
Roberta Piroddi, John Yannis Goulermas, Simon Maskell, Jason F. Ralph
Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion. FUSION (2018)
Jeyarajan Thiyagalingam, Lykourgos Kekempanos, Simon Maskell
MapReduce Particle Filtering with Exact Resampling and Deterministic Runtime. CoRR (2017)
Yifan Zhou, Simon Maskell
Moving object detection using background subtraction for a moving camera with pronounced parallax. SDF (2017)
Jeyarajan Thiyagalingam, Lykourgos Kekempanos, Simon Maskell
MapReduce particle filtering with exact resampling and deterministic runtime. EURASIP J. Adv. Signal Process. 2017 (2017)
Yifan Zhou, Simon Maskell
- PF : A novel filter-based monocular visual odometry algorithm. FUSION (2017)
E. J. Clark, Elias J. Griffith, Simon Maskell, Jason F. Ralph
Nonlinear kinematics for improved helicopter tracking. FUSION (2017)
Mitul M. Mehta, Elias J. Griffith, Simon Maskell, Jason F. Ralph
Geometric separation of superimposed images. FUSION (2016)
Ross Anderson, Nick Hare, Simon Maskell
Using a Bayesian model for confidence to make decisions that consider epistemic regret. FUSION (2016)
Jeffery Raphael, Elizabeth I. Sklar, Simon Maskell
An Empirical Investigation of Adaptive Traffic Control Parameters. ATT@IJCAI (2016)
Chinmaya Mishra, Simon Maskell, Siu-Kui Au, Jason F. Ralph
Efficient estimation of probability of conflict between air traffic using Subset Simulation. CoRR (2016)
Jeffery Raphael, Simon Maskell, Elizabeth Sklar
First Steps Toward an Auction-Based Traffic Signal Controller. PAAMS (2015)
Jeffery Raphael, Simon Maskell, Elizabeth Sklar
From Goods to Traffic: First Steps Toward an Auction-Based Traffic Signal Controller. PAAMS (2015)
Maria Limniou, John J. Downes, Simon Maskell
Datasets reflecting students' and teachers' views on the use of learning technology in a UK university. Br. J. Educ. Technol. 46 (5) (2015)
R. O. Lane, Mark Briers, T. M. Cooper, Simon Maskell
Efficient data structures for large scale tracking. FUSION (2014)
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
Articulated human body parts detection based on cluster background subtraction and foreground matching. Neurocomputing 100 (2013)
Simon Maskell, Simon Julier
Optimised proposals for improved propagation of multi-modal distributions in particle filters. FUSION (2013)
Panagiotis-Aristidis Kountouriotis, Simon Maskell
Maneuvering target tracking using an unbiased nearly constant heading model. FUSION (2012)
Paul R. Horridge, Simon Maskell
Using a probabilistic hypothesis density filter to confirm tracks in a multi- target environment. GI-Jahrestagung (2011)
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods. IEEE Trans. Signal Process. 59 (4) (2011)
Pierre Minvielle, Arnaud Doucet, Alan Marrs, Simon Maskell
A Bayesian approach to joint tracking and identification of geometric shapes in video sequences. Image Vis. Comput. 28 (1) (2010)
David A. Nevell, Simon Maskell, Paul R. Horridge, Hayleigh L. Barnett
Fusion of data from sources with different levels of trust. FUSION (2010)
Paul R. Horridge, Simon Maskell
A scalable method of tracking targets with dependent distributions. FUSION (2009)
Paul R. Horridge, Simon Maskell
Searching for, initiating and tracking multiple targets using existence probabilities. FUSION (2009)
Simon Maskell
A Bayesian approach to fusing uncertain, imprecise and conflicting information. Inf. Fusion 9 (2) (2008)
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill
Ground target group structure and state estimation with particle filtering. FUSION (2008)
Vitaliy Kurlin, Lyudmila Mihaylova, Simon Maskell
How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability? CoRR (2007)
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection. GI Jahrestagung (2) (2007)
Paul R. Horridge, Simon Maskell
Real-Time Tracking Of Hundreds Of Targets With Efficient Exact JPDAF Implementation. FUSION (2006)
Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang
Fast particle smoothing: if I had a million particles. ICML (2006)
Gavin Powell, Dave Marshall, Philippe Smets, Branko Ristic, Simon Maskell
Joint Tracking and Classification of Airbourne Objects using Particle Filters and the Continuous Transferable Belief Model. FUSION (2006)
Simon Maskell, Richard G. Everitt, Robert Wright, Mark Briers
Multi-target out-of-sequence data association: Tracking using graphical models. Inf. Fusion 7 (4) (2006)
Jaco Vermaak, Simon Maskell, Mark Briers, Patrick Pérez
Bayesian visual tracking with existence process. ICIP (1) (2005)
Simon Maskell
Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability. EURASIP J. Adv. Signal Process. 2004 (15) (2004)
Simon Maskell, Malcolm Rollason, Neil J. Gordon, David Salmond
Efficient particle filtering for multiple target tracking with application to tracking in structured images. Image Vis. Comput. 21 (10) (2003)
M. Sanjeev Arulampalam, Simon Maskell, Neil J. Gordon, Tim Clapp
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50 (2) (2002)