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2020 – today
- 2024
[j30]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: 100772-100791 (2024)- [j29]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: 1089-1093 (2024) - [j28]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): 387-404 (2024) - [j27]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): 4140-4156 (2024) - [c55]Jordan Robinson, Katie Atkinson, Simon Maskell, Chris Reed:
On Diagnostic Arguments in Abstract Argumentation. SAFA@COMMA 2024: 27-40 - [c54]Jordan Robinson, Katie Atkinson, Simon Maskell, Chris Reed:
Identifying Diagnostic Arguments in Abstract Argumentation. COMMA 2024: 359-360 - [c53]Marco Fontana, Thomas Hayder, William Freilinger, Ángel F. García-Fernández, Simon Maskell:
A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing. FUSION 2024: 1-8 - [c52]Conor Rosato, Joshua Murphy, Alessandro Varsi, Paul R. Horridge, Simon Maskell:
Enhanced SMC2: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals. MFI 2024: 1-8 - [i15]Conor Rosato, Joshua Murphy, Alessandro Varsi, Paul R. Horridge, Simon Maskell:
Enhanced SMC2: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals. CoRR abs/2407.17296 (2024) - 2023
- [j26]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): 170 (2023) - [j25]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: 239-243 (2023) - [j24]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): 5287-5301 (2023) - [j23]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): 5588-5598 (2023) - [c51]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: 5-14 - [c50]Alberto Acuto, Simon Maskell, Jack D.:
Defending the unknown: Exploring reinforcement learning agents' deployment in realistic, unseen networks. CAMLIS 2023: 22-35 - [c49]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: 475-487 - [c48]Efthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis, Simon Maskell:
Bayesian Decision Trees Inspired from Evolutionary Algorithms. LION 2023: 318-331 - [c47]Efthyvoulos Drousiotis, Alessandro Varsi, Paul G. Spirakis, Simon Maskell:
A Shared Memory SMC Sampler for Decision Trees. SBAC-PAD 2023: 209-218 - [i14]Efthyvoulos Drousiotis, Paul G. Spirakis, Simon Maskell:
Parallel Approaches to Accelerate Bayesian Decision Trees. CoRR abs/2301.09090 (2023) - [i13]Efthyvoulos Drousiotis, Alexander M. Phillips, Paul G. Spirakis, Simon Maskell:
Bayesian Decision Trees Inspired from Evolutionary Algorithms. CoRR abs/2305.18774 (2023) - 2022
- [j22]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): 20 (2022) - [j21]Simon Maskell, Yifan Zhou, Antonietta Mira:
Control Variates for Constrained Variables. IEEE Signal Process. Lett. 29: 2333-2337 (2022) - [j20]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: 3676-3692 (2022) - [c46]Efthyvoulos Drousiotis, Lei Shi, Paul G. Spirakis, Simon Maskell:
Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods. EANN 2022: 90-102 - [c45]Marco Fontana, Ángel F. García-Fernández, Simon Maskell:
A vehicle detector based on notched power for distributed acoustic sensing. FUSION 2022: 1-7 - [c44]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: 1-8 - [c43]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: 1-7 - [c42]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: 1-8 - [i12]Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Adrian Weller, Simon Maskell:
Can We Automate the Analysis of Online Child Sexual Exploitation Discourse? CoRR abs/2209.12320 (2022) - 2021
- [j19]Alessandro Varsi, Simon Maskell, Paul G. Spirakis:
An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures. Algorithms 14(12): 342 (2021) - [j18]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): 3539-3548 (2021) - [j17]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): 7249-7254 (2021) - [c41]Aikaterini Chatzopoulou, Ángel F. García-Fernández, Edward Pyzer-Knapp, Simon Maskell:
SMC samplers for Bayesian Optimisation and Discovery of Additive Kernel Structure. FUSION 2021: 1-8 - [c40]Ángel F. García-Fernández, Marcel L. Hernandez, Simon Maskell:
An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA. FUSION 2021: 1-8 - [c39]Marcel L. Hernandez, Michael J. Ransom, Simon Maskell:
Posterior Cramér-Rao Bounds for Tracking Intermittently Visible Targets in Clutter. FUSION 2021: 1-8 - [c38]Jason F. Ralph, Simon Maskell, Michael J. Ransom, Hendrik Ulbricht:
Classical Tracking for Quantum Trajectories. FUSION 2021: 1-8 - [c37]Michael J. Ransom, Marcel L. Hernandez, Jason F. Ralph, Simon Maskell:
Track-before-detect Bernoulli filters for combining passive and active sensors. FUSION 2021: 1-8 - [c36]Darren Cook, Miri Zilka, Simon Maskell, Laurence Alison:
A Psychology-Driven Computational Analysis of Political Interviews. Interspeech 2021: 1942-1946 - [c35]Efthyvoulos Drousiotis, Lei Shi, Simon Maskell:
Early Predictor for Student Success Based on Behavioural and Demographical Indicators. ITS 2021: 161-172 - [i11]Ángel F. García-Fernández, Marcel L. Hernandez, Simon Maskell:
An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA. CoRR abs/2110.11788 (2021) - [i10]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 abs/2111.01409 (2021) - 2020
- [j16]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: 1570-1574 (2020) - [j15]Ángel F. García-Fernández, Simon Maskell:
Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations. IEEE Trans. Signal Process. 68: 1300-1314 (2020) - [c34]Marco Fontana, Ángel F. García-Fernández, Simon Maskell:
Bernoulli merging for the Poisson multi-Bernoulli mixture filter. FUSION 2020: 1-8 - [c33]Ángel F. García-Fernández, Simon Maskell:
Continuous-discrete trajectory PHD and CPHD filters. FUSION 2020: 1-8 - [c32]Michael J. Ransom, Lyudmil Vladimirov, Paul R. Horridge, Jason F. Ralph, Simon Maskell:
Integrated Expected Likelihood Particle Filters. FUSION 2020: 1-8 - [c31]Lyudmil Vladimirov, Simon Maskell:
A SMC Sampler for Joint Tracking and Destination Estimation from Noisy Data. FUSION 2020: 1-8 - [c30]Yifan Zhou, Simon Maskell:
Robust and Efficient Image Alignment Method Using the Student-t Distribution. FUSION 2020: 1-8 - [c29]Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang:
Reliability Validation of Learning Enabled Vehicle Tracking. ICRA 2020: 9390-9396 - [c28]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: 7336-7343 - [c27]Rui Song, Jon Wetherall, Simon Maskell, Jason F. Ralph:
Weather Effects on Obstacle Detection for Autonomous Car. VEHITS 2020: 331-341 - [i9]Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang:
Reliability Validation of Learning Enabled Vehicle Tracking. CoRR abs/2002.02424 (2020) - [i8]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 abs/2010.08311 (2020)
2010 – 2019
- 2019
- [j14]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): 2719-2742 (2019) - [j13]Flávio Eler de Melo, Simon Maskell:
A CPHD Approximation Based on a Discrete-Gamma Cardinality Model. IEEE Trans. Signal Process. 67(2): 336-350 (2019) - [c26]Rui Song, Paul R. Horridge, Simon Pemberton, Jon Wetherall, Simon Maskell, Jason F. Ralph:
A Multi-Sensor Simulation Environment for Autonomous Cars. FUSION 2019: 1-7 - [c25]Yifan Zhou, Simon Maskell:
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs). FUSION 2019: 1-8 - [c24]Yifan Zhou, James Wright, Simon Maskell:
A Generic Anomaly Detection Approach Applied to Mixture-of-unigrams and Maritime Surveillance Data. SDF 2019: 1-6 - [i7]Alessandro Varsi, Lykourgos Kekempanos, Jeyarajan Thiyagalingam, Simon Maskell:
A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler. CoRR abs/1905.10252 (2019) - [i6]Yifan Zhou, Simon Maskell:
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs). CoRR abs/1911.01727 (2019) - 2018
- [j12]Matteo Fasiolo, Flávio Eler de Melo, Simon Maskell:
Langevin incremental mixture importance sampling. Stat. Comput. 28(3): 549-561 (2018) - [j11]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: 286-308 (2018) - [c23]Roberta Piroddi, John Yannis Goulermas, Simon Maskell, Jason F. Ralph:
Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion. FUSION 2018: 1-5 - [c22]Paul R. Horridge, Simon Maskell:
Fusing Bearing-Only Measurements with and Without Propagation Delays Using Particle Trajectories. FUSION 2018: 989-996 - [i5]Elias J. Griffith, Chinmaya Mishra, Jason F. Ralph, Simon Maskell:
A System for the Generation of Synthetic Wide Area Aerial Surveillance Imagery. CoRR abs/1803.04856 (2018) - [i4]Amir Soleimani, Nasser M. Nasrabadi, Elias J. Griffith, Jason F. Ralph, Simon Maskell:
Convolutional Neural Networks for Aerial Vehicle Detection and Recognition. CoRR abs/1808.08560 (2018) - 2017
- [j10]Jeyarajan Thiyagalingam, Lykourgos Kekempanos, Simon Maskell:
MapReduce particle filtering with exact resampling and deterministic runtime. EURASIP J. Adv. Signal Process. 2017: 71 (2017) - [c21]E. J. Clark, Elias J. Griffith, Simon Maskell, Jason F. Ralph:
Nonlinear kinematics for improved helicopter tracking. FUSION 2017: 1-6 - [c20]Yifan Zhou, Simon Maskell:
RB2 - PF : A novel filter-based monocular visual odometry algorithm. FUSION 2017: 1-8 - [c19]Yifan Zhou, Simon Maskell:
Moving object detection using background subtraction for a moving camera with pronounced parallax. SDF 2017: 1-6 - [i3]Jeyarajan Thiyagalingam, Lykourgos Kekempanos, Simon Maskell:
MapReduce Particle Filtering with Exact Resampling and Deterministic Runtime. CoRR abs/1705.01660 (2017) - 2016
- [c18]Ross Anderson, Nick Hare, Simon Maskell:
Using a Bayesian model for confidence to make decisions that consider epistemic regret. FUSION 2016: 264-269 - [c17]Mitul M. Mehta, Elias J. Griffith, Simon Maskell, Jason F. Ralph:
Geometric separation of superimposed images. FUSION 2016: 1244-1251 - [c16]Jeffery Raphael, Elizabeth I. Sklar, Simon Maskell:
An Empirical Investigation of Adaptive Traffic Control Parameters. ATT@IJCAI 2016 - [i2]Chinmaya Mishra, Simon Maskell, Siu-Kui Au, Jason F. Ralph:
Efficient estimation of probability of conflict between air traffic using Subset Simulation. CoRR abs/1604.07363 (2016) - 2015
- [j9]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): 1081-1091 (2015) - [c15]Jeffery Raphael, Simon Maskell, Elizabeth Sklar:
From Goods to Traffic: First Steps Toward an Auction-Based Traffic Signal Controller. PAAMS 2015: 187-198 - [c14]Jeffery Raphael, Simon Maskell, Elizabeth Sklar:
First Steps Toward an Auction-Based Traffic Signal Controller. PAAMS 2015: 300-303 - 2014
- [c13]R. O. Lane, Mark Briers, T. M. Cooper, Simon Maskell:
Efficient data structures for large scale tracking. FUSION 2014: 1-8 - 2013
- [j8]Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell:
Articulated human body parts detection based on cluster background subtraction and foreground matching. Neurocomputing 100: 58-73 (2013) - [c12]Simon Maskell, Simon Julier:
Optimised proposals for improved propagation of multi-modal distributions in particle filters. FUSION 2013: 296-303 - 2012
- [c11]Panagiotis-Aristidis Kountouriotis, Simon Maskell:
Maneuvering target tracking using an unbiased nearly constant heading model. FUSION 2012: 2249-2255 - 2011
- [j7]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): 1383-1396 (2011) - [c10]Paul R. Horridge, Simon Maskell:
Using a probabilistic hypothesis density filter to confirm tracks in a multi- target environment. GI-Jahrestagung 2011: 492 - 2010
- [j6]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): 111-123 (2010) - [c9]David A. Nevell, Simon Maskell, Paul R. Horridge, Hayleigh L. Barnett:
Fusion of data from sources with different levels of trust. FUSION 2010: 1-7
2000 – 2009
- 2009
- [c8]Paul R. Horridge, Simon Maskell:
A scalable method of tracking targets with dependent distributions. FUSION 2009: 603-610 - [c7]Paul R. Horridge, Simon Maskell:
Searching for, initiating and tracking multiple targets using existence probabilities. FUSION 2009: 611-617 - 2008
- [j5]Simon Maskell:
A Bayesian approach to fusing uncertain, imprecise and conflicting information. Inf. Fusion 9(2): 259-277 (2008) - [c6]Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill:
Ground target group structure and state estimation with particle filtering. FUSION 2008: 1-8 - [p1]Simon Maskell:
Statistical Methods for Target Tracking. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [c5]Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell:
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection. GI Jahrestagung (2) 2007: 130-134 - [i1]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 abs/0710.1001 (2007) - 2006
- [j4]Simon Maskell, Richard G. Everitt, Robert Wright, Mark Briers:
Multi-target out-of-sequence data association: Tracking using graphical models. Inf. Fusion 7(4): 434-447 (2006) - [c4]Paul R. Horridge, Simon Maskell:
Real-Time Tracking Of Hundreds Of Targets With Efficient Exact JPDAF Implementation. FUSION 2006: 1-8 - [c3]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: 1-8 - [c2]Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang:
Fast particle smoothing: if I had a million particles. ICML 2006: 481-488 - 2005
- [c1]Jaco Vermaak, Simon Maskell, Mark Briers, Patrick Pérez:
Bayesian visual tracking with existence process. ICIP (1) 2005: 721-724 - 2004
- [j3]Simon Maskell:
Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability. EURASIP J. Adv. Signal Process. 2004(15): 2339-2350 (2004) - 2003
- [j2]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): 931-939 (2003) - 2002
- [j1]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): 174-188 (2002)
Coauthor Index
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