Simon Maskell

Orcid: 0000-0003-1917-2913

According to our database1, Simon Maskell authored at least 93 papers between 2002 and 2024.

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Bibliography

2024
A General-Purpose Fixed-Lag No U-Turn Sampler for Nonlinear Non-Gaussian State Space Models.
IEEE Trans. Aerosp. Electron. Syst., August, 2024

Nonmyopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation.
IEEE Trans. Aerosp. Electron. Syst., February, 2024

The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler Without Accept/Reject.
IEEE Signal Process. Lett., 2024

Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review.
IEEE Access, 2024

Enhanced SMC<sup>2</sup>: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing.
Proceedings of the 27th International Conference on Information Fusion, 2024

On Diagnostic Arguments in Abstract Argumentation.
Proceedings of the Fifth International Workshop on Systems and Algorithms for Formal Argumentation co-located with 10th International Conference on Computational Models of Argument (COMMA 2024), 2024

Identifying Diagnostic Arguments in Abstract Argumentation.
Proceedings of the Computational Models of Argument, 2024

2023
Trustworthy Data and AI Environments for Clinical Prediction: Application to Crisis-Risk in People With Depression.
IEEE J. Biomed. Health Informatics, November, 2023

Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter.
IEEE Trans. Aerosp. Electron. Syst., October, 2023

Coherent Long-Time Integration and Bayesian Detection With Bernoulli Track-Before-Detect.
IEEE Signal Process. Lett., 2023

Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models.
Inf., 2023

Parallel Approaches to Accelerate Bayesian Decision Trees.
CoRR, 2023

A Shared Memory SMC Sampler for Decision Trees.
Proceedings of the 35th IEEE International Symposium on Computer Architecture and High Performance Computing, 2023

Bayesian Decision Trees Inspired from Evolutionary Algorithms.
Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks.
Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies?
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters.
IEEE Trans. Signal Process., 2022

Control Variates for Constrained Variables.
IEEE Signal Process. Lett., 2022

Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference.
Stat. Comput., 2022

Can We Automate the Analysis of Online Child Sexual Exploitation Discourse?
CoRR, 2022

Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal.
Proceedings of the 25th International Conference on Information Fusion, 2022

Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation.
Proceedings of the 25th International Conference on Information Fusion, 2022

Gaussian trajectory PMBM filter with nonlinear measurements based on posterior linearisation.
Proceedings of the 25th International Conference on Information Fusion, 2022

A vehicle detector based on notched power for distributed acoustic sensing.
Proceedings of the 25th International Conference on Information Fusion, 2022

Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Gaussian Tracking With Kent-Distributed Direction-of-Arrival Measurements.
IEEE Trans. Veh. Technol., 2021

A Gaussian Filtering Method for Multitarget Tracking With Nonlinear/Non-Gaussian Measurements.
IEEE Trans. Aerosp. Electron. Syst., 2021

Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters.
CoRR, 2021

An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures.
Algorithms, 2021

Early Predictor for Student Success Based on Behavioural and Demographical Indicators.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A Psychology-Driven Computational Analysis of Political Interviews.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Track-before-detect Bernoulli filters for combining passive and active sensors.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Classical Tracking for Quantum Trajectories.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Posterior Cramér-Rao Bounds for Tracking Intermittently Visible Targets in Clutter.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations.
IEEE Trans. Signal Process., 2020

A Fast Parallel Particle Filter for Shared Memory Systems.
IEEE Signal Process. Lett., 2020

Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics.
CoRR, 2020

Weather Effects on Obstacle Detection for Autonomous Car.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Practical Verification of Neural Network Enabled State Estimation System for Robotics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Reliability Validation of Learning Enabled Vehicle Tracking.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Robust and Efficient Image Alignment Method Using the Student-t Distribution.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

A SMC Sampler for Joint Tracking and Destination Estimation from Noisy Data.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Integrated Expected Likelihood Particle Filters.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Continuous-discrete trajectory PHD and CPHD filters.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Bernoulli merging for the Poisson multi-Bernoulli mixture filter.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
A CPHD Approximation Based on a Discrete-Gamma Cardinality Model.
IEEE Trans. Signal Process., 2019

Efficient Estimation of Probability of Conflict Between Air Traffic Using Subset Simulation.
IEEE Trans. Aerosp. Electron. Syst., 2019

A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler.
CoRR, 2019

A Generic Anomaly Detection Approach Applied to Mixture-of-unigrams and Maritime Surveillance Data.
Proceedings of the 2019 Sensor Data Fusion: Trends, Solutions, Applications, 2019

Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs).
Proceedings of the 22th International Conference on Information Fusion, 2019

A Multi-Sensor Simulation Environment for Autonomous Cars.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
A system for the generation of synthetic Wide Area Aerial surveillance imagery.
Simul. Model. Pract. Theory, 2018

Langevin incremental mixture importance sampling.
Stat. Comput., 2018

Convolutional Neural Networks for Aerial Vehicle Detection and Recognition.
CoRR, 2018

Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion.
Proceedings of the 21st International Conference on Information Fusion, 2018

Fusing Bearing-Only Measurements with and Without Propagation Delays Using Particle Trajectories.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
MapReduce particle filtering with exact resampling and deterministic runtime.
EURASIP J. Adv. Signal Process., 2017

Moving object detection using background subtraction for a moving camera with pronounced parallax.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2017

RB<sup>2</sup> - PF : A novel filter-based monocular visual odometry algorithm.
Proceedings of the 20th International Conference on Information Fusion, 2017

Nonlinear kinematics for improved helicopter tracking.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
An Empirical Investigation of Adaptive Traffic Control Parameters.
Proceedings of the Ninth International Workshop on Agents in Traffic and Transportation (ATT 2016) co-located with the 25th International Joint Conference On Artificial Intelligence (IJCAI 2016), 2016

Geometric separation of superimposed images.
Proceedings of the 19th International Conference on Information Fusion, 2016

Using a Bayesian model for confidence to make decisions that consider epistemic regret.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Datasets reflecting students' and teachers' views on the use of learning technology in a UK university.
Br. J. Educ. Technol., 2015

First Steps Toward an Auction-Based Traffic Signal Controller.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

From Goods to Traffic: First Steps Toward an Auction-Based Traffic Signal Controller.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

2014
Efficient data structures for large scale tracking.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Articulated human body parts detection based on cluster background subtraction and foreground matching.
Neurocomputing, 2013

Optimised proposals for improved propagation of multi-modal distributions in particle filters.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Maneuvering target tracking using an unbiased nearly constant heading model.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods.
IEEE Trans. Signal Process., 2011

Using a probabilistic hypothesis density filter to confirm tracks in a multi- target environment.
Proceedings of the 41. Jahrestagung der Gesellschaft für Informatik, 2011

2010
A Bayesian approach to joint tracking and identification of geometric shapes in video sequences.
Image Vis. Comput., 2010

Fusion of data from sources with different levels of trust.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Searching for, initiating and tracking multiple targets using existence probabilities.
Proceedings of the 12th International Conference on Information Fusion, 2009

A scalable method of tracking targets with dependent distributions.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Statistical Methods for Target Tracking.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

A Bayesian approach to fusing uncertain, imprecise and conflicting information.
Inf. Fusion, 2008

Ground target group structure and state estimation with particle filtering.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability?
CoRR, 2007

Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection.
Proceedings of the 37. Jahrestagung der Gesellschaft für Informatik, 2007

2006
Multi-target out-of-sequence data association: Tracking using graphical models.
Inf. Fusion, 2006

Fast particle smoothing: if I had a million particles.
Proceedings of the Machine Learning, 2006

Joint Tracking and Classification of Airbourne Objects using Particle Filters and the Continuous Transferable Belief Model.
Proceedings of the 9th International Conference on Information Fusion, 2006

Real-Time Tracking Of Hundreds Of Targets With Efficient Exact JPDAF Implementation.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Bayesian visual tracking with existence process.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability.
EURASIP J. Adv. Signal Process., 2004

2003
Efficient particle filtering for multiple target tracking with application to tracking in structured images.
Image Vis. Comput., 2003

2002
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking.
IEEE Trans. Signal Process., 2002


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