| 2025 | FUSION | On the Variational Gaussian Filtering with Natural Gradient Descent. | Xi Li, Yi Liu, Le Yang, Lyudmila Mihaylova, Ji Li |
| 2024 | FUSION | On the Gaussian Filtering for Nonlinear Dynamic Systems Using Variational Inference. | Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Ji Li |
| 2024 | FUSION | Active Sensing for Target Tracking: A Bayesian Optimisation Approach. | Xingchi Liu, Lyudmila Mihaylova |
| 2024 | FUSION | Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup. | Chenyi Lyu, Xingchi Liu, James Wright, Jordi Barr, Alasdair Hunter, Lyudmila Mihaylova |
| 2023 | FUSION | On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing. | Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue |
| 2023 | FUSION | Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification. | Jingxuan Su, Sean R. Anderson, Lyudmila Mihaylova |
| 2023 | FUSION | Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. | Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova |
| 2023 | IROS | An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter. | Fethi Candan, Aykut Beke, Lyudmila Mihaylova |
| 2022 | FUSION | UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking. | Shidrokh Goudarzi, Wenwu Wang, Pei Xiao, Lyudmila Mihaylova, Simon J. Godsill |
| 2022 | FUSION | Deep Learning for Audio Visual Emotion Recognition. | Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova |
| 2022 | FUSION | A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks. | Xingchi Liu, Chenyi Lyu, Jemin George, Tien Pham, Lyudmila Mihaylova |
| 2022 | FUSION | On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems. | Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue |
| 2022 | FUSION | Efficient Factorisation-based Gaussian Process Approaches for Online Tracking. | Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova |
| 2022 | ICASSP | Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. | Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang |
| 2022 | INISTA | An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation. | Fethi Candan, Aykut Beke, Chen Shen, Lyudmila Mihaylova |
| 2021 | FUSION | An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. | Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova |
| 2021 | FUSION | Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. | Mahed Javed, Lyudmila Mihaylova, Nidhal Bouaynaya |
| 2021 | FUSION | Enhanced Fixed-Interval Smoothing for Markovian Switching Systems. | Xi Li, Yi Liu, Le Yang, Lyudmila Mihaylova, Bing Deng |
| 2021 | FUSION | Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification. | Shenglin Wang, Peng Wang, Lyudmila Mihaylova, Matthew Hill |
| 2020 | DeSE | Non-Random Weight Initialisation in Deep Convolutional Networks Applied to Safety Critical Artificial Intelligence. | Richard N. M. Rudd-Orthner, Lyudmila Mihaylova |
| 2020 | FUSION | On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking. | Waqas Aftab, Lyudmila Mihaylova |
| 2020 | FUSION | Outlier-Robust Schmidt-Kalman Filter Using Variational Inference. | Yi Liu, Xi Li, Yanbo Xue, Stephen John Weddell, Le Yang, Lyudmila Mihaylova |
| 2020 | FUSION | A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling. | Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova |
| 2020 | FUSION | Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images. | Yifei Zhu, Alanna C. Green, Lingzhong Guo, Holly R. Evans, Lyudmila Mihaylova |
| 2020 | IJCNN | Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. | Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He |
| 2019 | FUSION | A Maximum Likelihood Approach to Joint Groupwise Image Registration and Fusion by a Student-$t$ Mixture Model. | Hao Zhu, Chunxia Tang, Allan De Freitas, Lyudmila Mihaylova |
| 2019 | FUSION | A Gaussian Process Regression Approach for Point Target Tracking. | Waqas Aftab, Lyudmila Mihaylova |
| 2019 | FUSION | Dual Stream Spatio-Temporal Motion Fusion With Self-Attention For Action Recognition. | Md Asif Jalal, Waqas Aftab, Roger K. Moore, Lyudmila Mihaylova |
| 2019 | FUSION | An End-to-End Deep Neural Network for Facial Emotion Classification. | Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore |
| 2019 | FUSION | Enhanced Multiple Model GPB2 Filtering Using Variational Inference. | Xi Li, Yi Liu, Lyudmila Mihaylova, Le Yang, Steve Weddell, Fucheng Guo |
| 2019 | FUSION | Multi-Band Image Fusion Using Gaussian Process Regression with Sparse Rational Quadratic Kernel. | Fodio S. Longman, Lyudmila Mihaylova, Le Yang, Konstantinos N. Topouzelis |
| 2019 | ICASSP | Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. | Ahmed M. Azab, Lyudmila Mihaylova, Hamed Ahmadi, Mahnaz Arvaneh |
| 2019 | ICASSP | A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach. | Mingming Bai, Yulong Huang, Yonggang Zhang, Lyudmila Mihaylova, Jonathon A. Chambers |
| 2019 | ICASSP | Structural Recurrent Neural Network for Traffic Speed Prediction. | Youngjoo Kim, Peng Wang, Lyudmila Mihaylova |
| 2019 | ICASSP | Bayesian Neural Networks for Sparse Coding. | Danil Kuzin, Olga Isupova, Lyudmila Mihaylova |
| 2018 | FUSION | A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. | Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova |
| 2018 | FUSION | Learning Capsules for Vehicle Logo Recognition. | Ruilong Chen, Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore |
| 2018 | FUSION | A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions. | Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers |
| 2018 | FUSION | American Sign Language Posture Understanding with Deep Neural Networks. | Md Asif Jalal, Ruilong Chen, Roger K. Moore, Lyudmila Mihaylova |
| 2018 | FUSION | Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes. | Syed Safwan Khalid, Naveed ur Rehman, Shafayat Abrar, Lyudmila Mihaylova |
| 2018 | FUSION | Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. | Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova |
| 2018 | FUSION | A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data. | Oussama Laib, Mohamed Tarek Khadir, Lyudmila Mihaylova |
| 2018 | FUSION | Enhanced GMM-Based Filtering with Measurement Update Ordering and Innovation-Based Pruning. | Xi Li, Le Yang, Lyudmila Mihaylova, Fucheng Guo, Min Zhang |
| 2018 | FUSION | A Gaussian Process Regression Approach for Fusion of Remote Sensing Images for Oil Spill Segmentation. | Fodio S. Longman, Lyudmila Mihaylova, Le Yang |
| 2018 | FUSION | Short Term Traffic Flow Prediction with Particle Methods in the Presence of Sparse Data. | Kennedy J. Offor, Matthew B. Hawes, Lyudmila Mihaylova |
| 2018 | SMC | Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface. | Mahnaz Arvaneh, Lyudmila Mihaylova, Ahmed M. Azab |
| 2017 | FUSION | Online vehicle logo recognition using Cauchy prior logistic regression. | Ruilong Chen, Matthew B. Hawes, Olga Isupova, Lyudmila Mihaylova, Hao Zhu |
| 2017 | FUSION | A novel measurement processing approach to the parallel expectation propagation unscented Kalman filter. | Allan De Freitas, Carsten Fritsche, Lyudmila Mihaylova, Fredrik Gunnarsson |
| 2017 | FUSION | Traffic state estimation via a particle filter over a reduced measurement space. | Matthew B. Hawes, Hayder M. Amer, Lyudmila Mihaylova |
| 2017 | FUSION | Dual-satellite source geolocation with time and frequency offsets and satellite location errors. | Chao Liu, Le Yang, Lyudmila Mihaylova |
| 2016 | FUSION | Vehicle logo recognition by spatial-SIFT combined with logistic regression. | Ruilong Chen, Matthew B. Hawes, Lyudmila Mihaylova, Jingjing Xiao, Wei Liu |
| 2016 | FUSION | Dealing with massive data with a distributed expectation propagation particle filter for object tracking. | Allan De Freitas, Lyudmila Mihaylova |
| 2016 | FUSION | Traffic state estimation via a particle filter with compressive sensing and historical traffic data. | Matthew B. Hawes, Hayder M. Amer, Lyudmila Mihaylova |
| 2016 | FUSION | Dynamic Hierarchical Dirichlet Process for abnormal behaviour detection in video. | Olga Isupova, Danil Kuzin, Lyudmila Mihaylova |
| 2015 | FUSION | How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking? | Allan De Freitas, Franois Septier, Lyudmila Mihaylova, Simon J. Godsill |
| 2015 | FUSION | A Bayesian compressed sensing Kalman filter for direction of arrival estimation. | Matthew B. Hawes, Lyudmila Mihaylova, Franois Septier, Simon J. Godsill |
| 2015 | FUSION | An expectation maximisation algorithm for behaviour analysis in video. | Olga Isupova, Lyudmila Mihaylova, Danil Kuzin, Garik Markarian, Franois Septier |
| 2015 | FUSION | Tracking of wireless mobile nodes in he presence of unknown path-loss characteristics. | Muhammad Waqas Khan, Andrew H. Kemp, Naveed Salman, Lyudmila Mihaylova |
| 2014 | FUSION | Multiple land mines localization using a wireless sensor network. | Hiba Haj Chhad, Fahed Abdallah, Imad Mougharbel, Amadou Gning, Lyudmila Mihaylova, Simon Julier |
| 2014 | FUSION | Crowd tracking with box particle filtering. | Nikolay Petrov, Lyudmila Mihaylova, Allan De Freitas, Amadou Gning |
| 2014 | FUSION | Multi-target tracking by using particle filtering and a social force model. | Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers |
| 2014 | IJCNN | Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. | Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya |
| 2013 | FUSION | A convolution particle filtering approach for tracking elliptical extended objects. | Donka S. Angelova, Lyudmila Mihaylova, Nikolay Petrov, Amadou Gning |
| 2013 | FUSION | Non-linear state estimation using imprecise samples. | Amadou Gning, Simon Julier, Lyudmila Mihaylova |
| 2013 | FUSION | Clustering and a joint probabilistic data association filter for dealing with occlusions in multi-target tracking. | Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers |
| 2013 | ICASSP | Variational Bayesian and belief propagation based data association for multi-target tracking. | Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers |
| 2012 | FUSION | Continuous-discrete filtering using EKF, UKF, and PF. | Mahendra Mallick, Mark R. Morelande, Lyudmila Mihaylova |
| 2012 | FUSION | Comparison of angle-only filtering algorithms in 3D using Cartesian and modified spherical coordinates. | Mahendra Mallick, Mark R. Morelande, Lyudmila Mihaylova, Sanjeev Arulampalam, Yanjun Yan |
| 2012 | FUSION | Bearings-only tracking with particle filtering for joint parameter learning and state estimation. | Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova, Dave Vorley |
| 2012 | FUSION | Box Particle Filtering for extended object tracking. | Nikolay Petrov, Amadou Gning, Lyudmila Mihaylova, Donka S. Angelova |
| 2012 | FUSION | Box-particle PHD filter for multi-target tracking. | Marek Schikora, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, Wolfgang Koch |
| 2012 | ICASSP | Unscented compressed sensing. | Avishy Carmi, Lyudmila Mihaylova, Dimitri Kanevsky |
| 2012 | IJCNN | Particle filters and beamforming for EEG source estimation. | Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain |
| 2011 | FUSION | A box particle filter for stochastic and set-theoretic measurements with association uncertainty. | Amadou Gning, Branko Ristic, Lyudmila Mihaylova |
| 2011 | FUSION | Angle-only filtering in 3D using modified spherical and log spherical coordinates. | Mahendra Mallick, Sanjeev Arulampalam, Lyudmila Mihaylova, Yanjun Yan |
| 2011 | FUSION | A novel Sequential Monte Carlo approach for extended object tracking based on border parameterisation. | Nikolay Petrov, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova |
| 2011 | FUSION | Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty. | Branko Ristic, Amadou Gning, Lyudmila Mihaylova |
| 2011 | GI | Information driven approach for sensor positioning in wireless sensor networks. | Arshad Ali, Costas Xydeas, Lyudmila Mihaylova, El Hadji Amadou Gning |
| 2011 | GI | A sequential Monte Carlo approach for extended object tracking in the presence of clutter. | Nikolay Petrov, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova |
| 2011 | GI | Md isa enhanced positioning techniques for hybrid wireless networks. | Anna Zvikhachevskaya, Vassil Gourov, Lyudmila Mihaylova, Azmi Awang |
| 2011 | ICASSP | Video object tracking with differential Structural SIMilarity index. | Artur Loza, Fanglin Wang, Jie Yang, Lyudmila Mihaylova |
| 2011 | ICASSP | Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking. | Lyudmila Mihaylova, Avishy Carmi |
| 2010 | FUSION | Combined feature-level video indexing using block-based motion estimation. | Harish Bhaskar, Lyudmila Mihaylova |
| 2010 | FUSION | Mixture of uniform probability density functions for non linear state estimation using interval analysis. | Amadou Gning, Lyudmila Mihaylova, Fahed Abdallah |
| 2010 | FUSION | Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks. | Lyudmila Mihaylova, Donka S. Angelova |
| 2010 | GI | Bearings Only Versus Bearings and Extent Tracking for Missile Guidance Systems Utilising Particle Methods. | Alexander Watson, Lyudmila Mihaylova, Dave Vorley |
| 2009 | FUSION | Contour extraction from ultrasound images viewed as a tracking problem. | Donka S. Angelova, Lyudmila Mihaylova |
| 2009 | FUSION | Dynamic clustering and belief propagation for distributed inference in random sensor networks with deficient links. | Amadou Gning, Lyudmila Mihaylova |
| 2009 | GI | Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation. | Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov, Ren K. Boel |
| 2009 | WCNC | Quality of service consideration for the wireless telemedicine and e-health services. | Anna Zvikhachevskaya, Garik Markarian, Lyudmila Mihaylova |
| 2008 | FUSION | Ground target group structure and state estimation with particle filtering. | Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill |
| 2008 | FUSION | Multi-resolution learning vector quantisation based automatic colour clustering. | Andrew M. Payne, Harish Bhaskar, Lyudmila Mihaylova |
| 2007 | GI | Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection. | Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell |
| 2006 | FUSION | Structural Similarity-Based Object Tracking in Video Sequences. | Artur Loza, Lyudmila Mihaylova, Nishan Canagarajah, David R. Bull |
| 2006 | FUSION | Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks. | Lyudmila Mihaylova, Donka S. Angelova, Cedric Nishan Canagarajah, David R. Bull |
| 2006 | GI | The Influence of Multi-Sensor Video Fusion on Object Tracking Using a Particle Filter. | Lyudmila Mihaylova, Artur Loza, Stavri G. Nikolov, John Joseph Lewis, Eduardo Fernndez Canga, Jian Li, Timothy D. Dixon, Cedric Nishan Canagarajah, David R. Bull |
| 2006 | ICCS | A Monte Carlo Algorithm for State and Parameter Estimation of Extended Targets. | Donka S. Angelova, Lyudmila Mihaylova |
| 2004 | ICCS | Monte Carlo Algorithm for Maneuvering Target Tracking and Classification. | Donka S. Angelova, Lyudmila Mihaylova, Tzvetan Semerdjiev |
| 2002 | IROS | A multisine approach for trajectory optimization based on information gain. | Lyudmila Mihaylova, Joris De Schutter, Herman Bruyninckx |