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Simon Maskell
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2020 – today
- 2024
- [j30]Conor Rosato
, Peter L. Green
Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review. IEEE Access 12: 100772-100791 (2024) - [j29]Lee Devlin
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
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
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
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
Coherent Long-Time Integration and Bayesian Detection With Bernoulli Track-Before-Detect. IEEE Signal Process. Lett. 30: 239-243 (2023) - [j24]Marco Fontana
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
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
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
Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation. AIAI (1) 2023: 475-487 - [c48]Efthyvoulos Drousiotis
Bayesian Decision Trees Inspired from Evolutionary Algorithms. LION 2023: 318-331 - [c47]Efthyvoulos Drousiotis
A Shared Memory SMC Sampler for Decision Trees. SBAC-PAD 2023: 209-218 - [i14]Efthyvoulos Drousiotis
Parallel Approaches to Accelerate Bayesian Decision Trees. CoRR abs/2301.09090 (2023) - [i13]Efthyvoulos Drousiotis
Bayesian Decision Trees Inspired from Evolutionary Algorithms. CoRR abs/2305.18774 (2023) - 2022
- [j22]Jiangqi Wu, Linjie Wen, Peter L. Green, Jinglai Li
Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference. Stat. Comput. 32(1): 20 (2022) - [j21]Simon Maskell
Control Variates for Constrained Variables. IEEE Signal Process. Lett. 29: 2333-2337 (2022) - [j20]Conor Rosato
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
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
Can We Automate the Analysis of Online Child Sexual Exploitation Discourse? CoRR abs/2209.12320 (2022) - 2021
- [j19]Alessandro Varsi
An O(log2N) Fully-Balanced Resampling Algorithm for Particle Filters on Distributed Memory Architectures. Algorithms 14(12): 342 (2021) - [j18]Ángel F. García-Fernández
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
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
A Psychology-Driven Computational Analysis of Political Interviews. Interspeech 2021: 1942-1946 - [c35]Efthyvoulos Drousiotis
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
A Fast Parallel Particle Filter for Shared Memory Systems. IEEE Signal Process. Lett. 27: 1570-1574 (2020) - [j15]Ángel F. García-Fernández
Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations. IEEE Trans. Signal Process. 68: 1300-1314 (2020) - [c34]Marco Fontana
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
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
Reliability Validation of Learning Enabled Vehicle Tracking. ICRA 2020: 9390-9396 - [c28]Wei 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
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
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
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
A Generic Anomaly Detection Approach Applied to Mixture-of-unigrams and Maritime Surveillance Data. SDF 2019: 1-6 - [i7]Alessandro Varsi
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
Langevin incremental mixture importance sampling. Stat. Comput. 28(3): 549-561 (2018) - [j11]Elias J. Griffith, Chinmaya Mishra
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
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
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
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
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
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
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
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
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
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
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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last updated on 2024-10-31 20:18 CET by the dblp team
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