Simon Maskell
Orcid: 0000-0003-1917-2913
According to our database1,
Simon Maskell
authored at least 87 papers
between 2002 and 2024.
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Bibliography
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
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
Proceedings of the 35th IEEE International Symposium on Computer Architecture and High Performance Computing, 2023
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
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference.
Stat. Comput., 2022
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
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
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
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
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
IEEE Signal Process. Lett., 2020
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics.
CoRR, 2020
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
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
2019
IEEE Trans. Signal Process., 2019
Efficient Estimation of Probability of Conflict Between Air Traffic Using Subset Simulation.
IEEE Trans. Aerosp. Electron. Syst., 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
Proceedings of the 22th International Conference on Information Fusion, 2019
2018
Simul. Model. Pract. Theory, 2018
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
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
Proceedings of the 20th International Conference on Information Fusion, 2017
Proceedings of the 20th International Conference on Information Fusion, 2017
2016
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
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
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
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
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
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
Proceedings of the 12th International Conference on Information Fusion, 2009
2008
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008
Inf. Fusion, 2008
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
Inf. Fusion, 2006
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
Proceedings of the 9th International Conference on Information Fusion, 2006
2005
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
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
IEEE Trans. Signal Process., 2002