Lyudmila Mihaylova

256 papers A 2B 5C 74Misc 12Journal 110Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spatio-temporal deep kernel Gaussian process for state prediction with time series measurements. Signal Process. Yifei Zhu, Xingchi Liu, Richard O. Lane, Nidhal Bouaynaya, Lyudmila Mihaylova
2026	J	`jnl`	Speeding Up Sequential Markov Chain Monte Carlo Methods in the Context of Large Volumes of Data From Distributed Sensor Networks. Int. J. Distributed Sens. Networks Allan De Freitas, François Septier, Lyudmila Mihaylova
2025	J	`jnl`	A meta-reinforcement learning method for adaptive payload transportation with variations. Neurocomputing Jingyu Chen, Ruidong Ma, Meng Xu, Fethi Candan, Lyudmila Mihaylova, John Oyekan
2025	J	`jnl`	A robust unsupervised method for outlier set detection. Knowl. Based Syst. Amal Sarfraz, Abigail N. Birnbaum, Flannery Dolan, Jonathan Lamontagne, Lyudmila Mihaylova, Charles Rougé
2025	—	`conf`	Bayesian Optimisation for Sensor Scheduling and Tracking with Different Acquisition Functions. SDF Alicja Szwalek, Xingchi Liu, Chenyi Lyu, Alasdair Hunter, Lyudmila Mihaylova
2025	J	`jnl`	Correction: Towards automated remote sizing and hot steel manufacturing with image registration and fusion. J. Intell. Manuf. Yueda Lin, Peng Wang, Zichen Wang, Sardar Ali, Lyudmila Mihaylova
2025	J	`jnl`	Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection. CoRR Alex George, Will Shepherd, Simon Tait, Lyudmila Mihaylova, Sean R. Anderson
2025	J	`jnl`	Explainable Deep Convolutional Multi-Type Anomaly Detection. CoRR Alex George, Lyudmila Mihaylova, Sean Anderson
2025	J	`jnl`	MI3SE: A Multi-User Index-Based Searchable Symmetric Encryption Scheme for Improving Security of Data in Connected Electronic Devices. IEEE Trans. Consumer Electron. Seyed Ahmad Soleymani, Shidrokh Goudarzi, Mohammad Hossein Anisi, Pei Xiao, Lyudmila Mihaylova, Wenwu Wang
2025	J	`jnl`	Multiagent $Q$-Learning With Particle Filtering for UAV Tracking in Open-RAN Environment. IEEE Trans. Aerosp. Electron. Syst. Seyed Ahmad Soleymani, Shidrokh Goudarzi, Pei Xiao, Lyudmila Mihaylova, Mohammad Shojafar, Wenwu Wang
2025	C	`conf`	On the Variational Gaussian Filtering with Natural Gradient Descent. FUSION Xi Li, Yi Liu, Le Yang, Lyudmila Mihaylova, Ji Li
2025	J	`jnl`	Toward Automated Chemical Analysis of Materials Using Secondary Electron Hyperspectral Imaging and Unsupervised Learning. IEEE Access Jingqiong Zhang, Nicholas T. H. Farr, James Nohl, Yufeng Lai, Kerry J. Abrams, Kate Black, Jon Raffe Willmott, Cornelia Rodenburg, Lyudmila Mihaylova
2025	—	`conf`	Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network. SSP Usman Muhammad, Jorma Laaksonen, Lyudmila Mihaylova
2025	J	`jnl`	Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network. CoRR Usman Muhammad, Jorma Laaksonen, Lyudmila Mihaylova
2025	J	`jnl`	Towards automated remote sizing and hot steel manufacturing with image registration and fusion. J. Intell. Manuf. Yueda Lin, Peng Wang, Zichen Wang, Sardar Ali, Lyudmila Mihaylova
2024	J	`jnl`	A Real-time Fuzzy Interacting Multiple-Model Velocity Obstacle Avoidance Approach for Unmanned Aerial Vehicles. J. Intell. Robotic Syst. Fethi Candan, Aykut Beke, Mahdi Mahfouf, Lyudmila Mihaylova
2024	J	`jnl`	A deep learning-enhanced Digital Twin framework for improving safety and reliability in human-robot collaborative manufacturing. Robotics Comput. Integr. Manuf. Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova
2024	C	`conf`	Active Sensing for Target Tracking: A Bayesian Optimisation Approach. FUSION Xingchi Liu, Lyudmila Mihaylova
2024	J	`jnl`	BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. Trans. Mach. Learn. Res. Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova
2024	—	`conf`	Deep Reinforcement Learning Method for Control of Mixed Autonomy Traffic Systems. MFI Xingyu Liu, Esa Apriaskar, Lyudmila Mihaylova
2024	J	`jnl`	Editorial: Pipeline inspection robots. Frontiers Robotics AI Lyudmila Mihaylova, Atsushi Kakogawa, Shugen Ma, Hyouk Ryeol Choi, Taro Nakamura
2024	C	`conf`	Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup. FUSION Chenyi Lyu, Xingchi Liu, James Wright, Jordi Barr, Alasdair Hunter, Lyudmila Mihaylova
2024	—	`conf`	Efficient News Synopsis Generation with T5 Transformers. IS João António, Lyudmila Mihaylova, Petia Georgieva
2024	J	`jnl`	Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks. CoRR Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham
2024	J	`jnl`	Head tracking using an optical soft tactile sensing surface. Frontiers Robotics AI Bhoomika Gandhi, Lyudmila Mihaylova, Sanja Dogramadzi
2024	C	`conf`	On the Gaussian Filtering for Nonlinear Dynamic Systems Using Variational Inference. FUSION Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Ji Li
2024	J	`jnl`	PLPF-VSLAM: An indoor visual SLAM with adaptive fusion of point-line-plane features. J. Field Robotics Jinjin Yan, Youbing Zheng, Jinquan Yang, Lyudmila Mihaylova, Weijie Yuan, Fuqiang Gu
2024	—	`conf`	Probabilistic Estimation of Vehicle Speed for Autonomous Vehicles using Deep Kernel Learning. ICCMA Esa Apriaskar, Xingyu Liu, Amornyos Horprasert, Lyudmila Mihaylova
2024	J	`jnl`	WC-CP: A Bluetooth Low Energy Indoor Positioning Method Based on the Weighted Centroid of the Convex Polygon. ISPRS Int. J. Geo Inf. Jinjin Yan, Manyu Zhang, Jinquan Yang, Lyudmila Mihaylova, Weijie Yuan, You Li
2023	J	`jnl`	A Gaussian-Generalized-Inverse-Gaussian Joint-Distribution-Based Adaptive MSCKF for Visual-Inertial Odometry Navigation. IEEE Trans. Aerosp. Electron. Syst. Chao Xue, Yulong Huang, Cheng Zhao, Xiaodong Li, Lyudmila Mihaylova, Youfu Li, Jonathon A. Chambers
2023	J	`jnl`	A robust method for approximate visual robot localization in feature-sparse sewer pipes. Frontiers Robotics AI Sarah Edwards, Rui Zhang, Rob Worley, Lyudmila Mihaylova, Jonathan M. Aitken, Sean R. Anderson
2023	A	`conf`	An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter. IROS Fethi Candan, Aykut Beke, Lyudmila Mihaylova
2023	J	`jnl`	Continuous Monitoring of Health and Mobility Indicators in Patients with Cardiovascular Disease: A Review of Recent Technologies. Sensors Muhammad Ali Shiwani, Timothy J. A. Chico, Fabio Ciravegna, Lyudmila Mihaylova
2023	J	`jnl`	Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham
2023	C	`conf`	Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification. FUSION Jingxuan Su, Sean R. Anderson, Lyudmila Mihaylova
2023	C	`conf`	On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing. FUSION Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue
2023	C	`conf`	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. FUSION Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova
2023	J	`jnl`	Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. CoRR Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova
2023	J	`jnl`	Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting. Neurocomputing Jingxuan Su, Sean R. Anderson, Mahed Javed, Charoenchai Khompatraporn, Apinanthana Udomsakdigool, Lyudmila Mihaylova
2023	J	`jnl`	Real-Time Interval Type-2 Fuzzy Control of an Unmanned Aerial Vehicle with Flexible Cable-Connected Payload. Algorithms Fethi Candan, Omer Faruk Dik, Tufan Kumbasar, Mahdi Mahfouf, Lyudmila Mihaylova
2023	J	`jnl`	Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming. IEEE J. Sel. Areas Commun. Xingchi Liu, Mahsa Derakhshani, Lyudmila Mihaylova, Sangarapillai Lambotharan
2023	J	`jnl`	Uncertainty-Aware Variational Inference for Target Tracking. IEEE Trans. Aerosp. Electron. Syst. Haoran Cui, Lyudmila Mihaylova, Xiaoxu Wang, Shuaihe Gao
2023	J	`jnl`	Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity. IEEE Robotics Autom. Lett. Rui Zhang, Rob Worley, Sarah Edwards, Jonathan M. Aitken, Sean R. Anderson, Lyudmila Mihaylova
2022	—	`conf`	3, 2, 1, Drones Go! A Testbed to Take Off UAV Swarm Intelligence for Distributed Sensing. UKCI Chuhao Qin, Fethi Candan, Lyudmila Mihaylova, Evangelos Pournaras
2022	C	`conf`	A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks. FUSION Xingchi Liu, Chenyi Lyu, Jemin George, Tien Pham, Lyudmila Mihaylova
2022	J	`jnl`	A Sliding Window Variational Outlier-Robust Kalman Filter Based on Student's t-Noise Modeling. IEEE Trans. Aerosp. Electron. Syst. Fengchi Zhu, Yulong Huang, Chao Xue, Lyudmila Mihaylova, Jonathon A. Chambers
2022	C	`conf`	An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation. INISTA Fethi Candan, Aykut Beke, Chen Shen, Lyudmila Mihaylova
2022	Misc	`conf`	Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. ICASSP Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang
2022	C	`conf`	Deep Learning for Audio Visual Emotion Recognition. FUSION Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova
2022	C	`conf`	Efficient Factorisation-based Gaussian Process Approaches for Online Tracking. FUSION Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova
2022	C	`conf`	On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems. FUSION Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue
2022	J	`jnl`	Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention - A Survey. Sensors Tianhao Zhang, Waqas Aftab, Lyudmila Mihaylova, Christian Langran-Wheeler, Samuel Rigby, David I. Fletcher, Steve Maddock, Garry Bosworth
2022	—	`conf`	Review of Recent Advances in Gaussian Process Regression Methods. UKCI Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova
2022	C	`conf`	UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking. FUSION Shidrokh Goudarzi, Wenwu Wang, Pei Xiao, Lyudmila Mihaylova, Simon J. Godsill
2021	—	`conf`	A Convolutional Neural Network Combined with a Gaussian Process for Speed Prediction in Traffic Networks. MFI Yifei Zhu, Peng Wang, Lyudmila Mihaylova
2021	J	`jnl`	A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking. IEEE Trans. Aerosp. Electron. Syst. Almudena Buelta, Alberto Olivares, Ernesto Staffetti, Waqas Aftab, Lyudmila Mihaylova
2021	J	`jnl`	A Learning Gaussian Process Approach for Maneuvering Target Tracking and Smoothing. IEEE Trans. Aerosp. Electron. Syst. Waqas Aftab, Lyudmila Mihaylova
2021	J	`jnl`	A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach. Signal Process. Peng Wang, Lyudmila Mihaylova, Said Munir, Rohit Chakraborty, Jikai Wang, Martin Mayfield, Khan Alam, Muhammad Fahim Khokhar, Daniel Coca
2021	J	`jnl`	A deep learning framework for autonomous flame detection. Neurocomputing Zhenglin Li, Lyudmila Mihaylova, Le Yang
2021	J	`jnl`	A flexible robust Student's t-based multimodel approach with maximum Versoria criterion. Signal Process. Chen Shen, Lyudmila Mihaylova
2021	C	`conf`	An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. FUSION Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova
2021	J	`jnl`	Deep ConvNet: Non-Random Weight Initialization for Repeatable Determinism, Examined with FSGM. Sensors Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
2021	C	`conf`	Enhanced Fixed-Interval Smoothing for Markovian Switching Systems. FUSION Xi Li, Yi Liu, Le Yang, Lyudmila Mihaylova, Bing Deng
2021	J	`jnl`	Feature-refined box particle filtering for autonomous vehicle localisation with OpenStreetMap. Eng. Appl. Artif. Intell. Peng Wang, Lyudmila Mihaylova, Philippe Bonnifait, Philippe Xu, Jianwen Jiang
2021	J	`jnl`	From the Editor-in-Chief FEBRUARY 2021. IEEE Trans. Aerosp. Electron. Syst. Lyudmila Mihaylova, Gökhan Inalhan
2021	J	`jnl`	Hybrid game approach-based channel congestion control for the Internet of Vehicles. IET Wirel. Sens. Syst. Hayder M. Amer, Hayder A. A. Al-Kashoash, Shuang Ma, Mohammed J. Khami, Lyudmila Mihaylova
2021	—	`conf`	Image Fusion for Remote Sizing of Hot High Quality Steel Sections. UKCI Y. Lin, Peng Wang, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova
2021	—	`conf`	Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity. TAROS Rui Zhang, Mathew H. Evans, Rob Worley, Sean R. Anderson, Lyudmila Mihaylova
2021	C	`conf`	Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification. FUSION Shenglin Wang, Peng Wang, Lyudmila Mihaylova, Matthew Hill
2021	J	`jnl`	Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
2021	J	`jnl`	Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction. CoRR YoungJoo Kim, Peng Wang, Lyudmila Mihaylova
2021	J	`jnl`	Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review. IEEE Access Jonathan M. Aitken, Mathew H. Evans, Rob Worley, Seamus Edwards, Rui Zhang, Tony J. Dodd, Lyudmila Mihaylova, Sean R. Anderson
2021	—	`conf`	Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering. TAROS Seamus Edwards, Lyudmila Mihaylova, Jonathan M. Aitken, Sean R. Anderson
2021	C	`conf`	Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. FUSION Mahed Javed, Lyudmila Mihaylova, Nidhal Bouaynaya
2020	J	`jnl`	A Deep Learning Framework for Joint Image Restoration and Recognition. Circuits Syst. Signal Process. Ruilong Chen, Lyudmila Mihaylova, Hao Zhu, Nidhal C. Bouaynaya
2020	C	`conf`	A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling. FUSION Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova
2020	B	`conf`	Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. IJCNN Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He
2020	C	`conf`	Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images. FUSION Yifei Zhu, Alanna C. Green, Lingzhong Guo, Holly R. Evans, Lyudmila Mihaylova
2020	C	`conf`	Non-Random Weight Initialisation in Deep Convolutional Networks Applied to Safety Critical Artificial Intelligence. DeSE Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
2020	J	`jnl`	Non-cooperative game based congestion control for data rate optimization in vehicular ad hoc networks. Ad Hoc Networks Hayder M. Amer, Hayder A. A. Al-Kashoash, Mohammed J. Khami, Martin Mayfield, Lyudmila Mihaylova
2020	C	`conf`	On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking. FUSION Waqas Aftab, Lyudmila Mihaylova
2020	C	`conf`	Outlier-Robust Schmidt-Kalman Filter Using Variational Inference. FUSION Yi Liu, Xi Li, Yanbo Xue, Stephen John Weddell, Le Yang, Lyudmila Mihaylova
2020	J	`jnl`	Repeatable determinism using non-random weight initialisations in smart city applications of deep learning. J. Reliab. Intell. Environ. Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
2020	—	`conf`	Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
2020	J	`jnl`	Robust Rauch-Tung-Striebel Smoothing Framework for Heavy-Tailed and/or Skew Noises. IEEE Trans. Aerosp. Electron. Syst. Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers
2020	—	`conf`	Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces. EMBC Joshua Giles, Kai Keng Ang, Lyudmila Mihaylova, Mahnaz Arvaneh
2019	J	`jnl`	A Box Particle Filter Method for Tracking Multiple Extended Objects. IEEE Trans. Aerosp. Electron. Syst. Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Marek Schikora, Martin Ulmke, Donka S. Angelova, Wolfgang Koch
2019	C	`conf`	A Gaussian Process Regression Approach for Point Target Tracking. FUSION Waqas Aftab, Lyudmila Mihaylova
2019	C	`conf`	A Maximum Likelihood Approach to Joint Groupwise Image Registration and Fusion by a Student-$t$ Mixture Model. FUSION Hao Zhu, Chunxia Tang, Allan De Freitas, Lyudmila Mihaylova
2019	Misc	`conf`	A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach. ICASSP Mingming Bai, Yulong Huang, Yonggang Zhang, Lyudmila Mihaylova, Jonathon A. Chambers
2019	J	`jnl`	A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration. Sensors Hao Zhu, Bin Guo, Ke Zou, Yongfu Li, Ka-Veng Yuen, Lyudmila Mihaylova, Henry Leung
2019	—	`conf`	An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration. ISSPIT Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
2019	C	`conf`	An End-to-End Deep Neural Network for Facial Emotion Classification. FUSION Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore
2019	Misc	`conf`	Bayesian Neural Networks for Sparse Coding. ICASSP Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
2019	—	`conf`	Computer Vision Methods for Automating High Temperature Steel Section Sizing in Thermal Images. SDF Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova
2019	C	`conf`	Dual Stream Spatio-Temporal Motion Fusion With Self-Attention For Action Recognition. FUSION Md Asif Jalal, Waqas Aftab, Roger K. Moore, Lyudmila Mihaylova
2019	C	`conf`	Enhanced Multiple Model GPB2 Filtering Using Variational Inference. FUSION Xi Li, Yi Liu, Lyudmila Mihaylova, Le Yang, Steve Weddell, Fucheng Guo
2019	J	`jnl`	Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications. Future Gener. Comput. Syst. Tariq Umer, Mubashir Husain Rehmani, Ahmed E. Kamal, Lyudmila Mihaylova
2019	—	`conf`	Leveraging Uncertainty in Adversarial Learning to Improve Deep Learning Based Segmentation. SDF Mahed Javed, Lyudmila Mihaylova
2019	C	`conf`	Multi-Band Image Fusion Using Gaussian Process Regression with Sparse Rational Quadratic Kernel. FUSION Fodio S. Longman, Lyudmila Mihaylova, Le Yang, Konstantinos N. Topouzelis
2019	—	`conf`	Multi-Model Bayesian Kriging for Urban Traffic State Prediction. SDF Kennedy J. Offor, Peng Wang, Lyudmila Mihaylova
2019	—	`conf`	Non-Random Weight Initialisation in Deep Learning Networks for Repeatable Determinism. DESSERT Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
2019	J	`jnl`	Online Sparse Multi-Output Gaussian Process Regression and Learning. IEEE Trans. Signal Inf. Process. over Networks Le Yang, Ke Wang, Lyudmila Mihaylova
2019	Misc	`conf`	Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. ICASSP Ahmed M. Azab, Lyudmila Mihaylova, Hamed Ahmadi, Mahnaz Arvaneh
2019	J	`jnl`	Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving. Sensors Hao Zhu, Ke Zou, Yongfu Li, Ming Cen, Lyudmila Mihaylova
2019	J	`jnl`	Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. IEEE Trans. Veh. Technol. Waqas Aftab, Roland Hostettler, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova
2019	Misc	`conf`	Structural Recurrent Neural Network for Traffic Speed Prediction. ICASSP YoungJoo Kim, Peng Wang, Lyudmila Mihaylova
2019	J	`jnl`	Structural Recurrent Neural Network for Traffic Speed Prediction. CoRR YoungJoo Kim, Peng Wang, Lyudmila Mihaylova
2019	J	`jnl`	Variational Bayesian inference of hidden stochastic processes with unknown parameters. CoRR Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova
2018	—	`conf`	A Capsule Network for Traffic Speed Prediction in Complex Road Networks. SDF YoungJoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova
2018	J	`jnl`	A Capsule Network for Traffic Speed Prediction in Complex Road Networks. CoRR YoungJoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova
2018	C	`conf`	A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. FUSION Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova
2018	C	`conf`	A Gaussian Process Regression Approach for Fusion of Remote Sensing Images for Oil Spill Segmentation. FUSION Fodio S. Longman, Lyudmila Mihaylova, Le Yang
2018	C	`conf`	A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data. FUSION Oussama Laib, Mohamed Tarek Khadir, Lyudmila Mihaylova
2018	C	`conf`	A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions. FUSION Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers
2018	C	`conf`	American Sign Language Posture Understanding with Deep Neural Networks. FUSION Md Asif Jalal, Ruilong Chen, Roger K. Moore, Lyudmila Mihaylova
2018	—	`conf`	Coalition Game for Emergency Vehicles Re-Routing in Smart Cities. SAM Hayder M. Amer, Hayder A. A. Al-Kashoash, Andrew H. Kemp, Lyudmila Mihaylova, Martin Mayfield
2018	—	`conf`	Data Space Adaptation for Multiclass Motor Imagery-based BCI. EMBC Joshua Giles, Kai Keng Ang, Lyudmila Mihaylova, Mahnaz Arvaneh
2018	C	`conf`	Enhanced GMM-Based Filtering with Measurement Update Ordering and Innovation-Based Pruning. FUSION Xi Li, Le Yang, Lyudmila Mihaylova, Fucheng Guo, Min Zhang
2018	C	`conf`	Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. FUSION Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova
2018	J	`jnl`	Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. CoRR Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova
2018	J	`jnl`	Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements. IEEE Trans. Signal Inf. Process. over Networks Roland Lamberti, François Septier, Naveed Salman, Lyudmila Mihaylova
2018	C	`conf`	Learning Capsules for Vehicle Logo Recognition. FUSION Ruilong Chen, Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore
2018	J	`jnl`	Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis. IEEE Trans. Neural Networks Learn. Syst. Olga Isupova, Danil Kuzin, Lyudmila Mihaylova
2018	J	`jnl`	Motion anomaly detection and trajectory analysis in visual surveillance. Multim. Tools Appl. Manaswi Chebiyyam, Rohit Desam Reddy, Debi Prosad Dogra, Harish Bhaskar, Lyudmila Mihaylova
2018	J	`jnl`	Reliable non-linear state estimation involving time uncertainties. Autom. Simon Rohou, Luc Jaulin, Lyudmila Mihaylova, Fabrice Le Bars, Sandor M. Veres
2018	C	`conf`	Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes. FUSION Syed Safwan Khalid, Naveed ur Rehman, Shafayat Abrar, Lyudmila Mihaylova
2018	C	`conf`	Short Term Traffic Flow Prediction with Particle Methods in the Presence of Sparse Data. FUSION Kennedy J. Offor, Matthew B. Hawes, Lyudmila Mihaylova
2018	—	`conf`	Short-Term Traffic Prediction with Vicinity Gaussian Process in the Presence of Missing Data. SDF Peng Wang, YoungJoo Kim, Lubos Vaci, Haoze Yang, Lyudmila Mihaylova
2018	J	`jnl`	Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors. IEEE Trans. Signal Process. Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
2018	J	`jnl`	Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors. CoRR Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
2018	J	`jnl`	Special collection on recent advances in sensor-based smart car technology. Int. J. Distributed Sens. Networks Bryan (Byung-Gyu) Kim, Kye-Shin Lee, Lyudmila Mihaylova, Rajendra Prasath
2018	J	`jnl`	Uncertainty propagation in neural networks for sparse coding. CoRR Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
2018	B	`conf`	Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface. SMC Mahnaz Arvaneh, Lyudmila Mihaylova, Ahmed M. Azab
2017	—	`conf`	A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods. DSP Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova
2017	—	`conf`	A game theory approach for congestion control in vehicular ad hoc networks. SDF Hayder M. Amer, Christos Tsotskas, Matthew B. Hawes, Patrizia Franco, Lyudmila Mihaylova
2017	C	`conf`	A novel measurement processing approach to the parallel expectation propagation unscented Kalman filter. FUSION Allan De Freitas, Carsten Fritsche, Lyudmila Mihaylova, Fredrik Gunnarsson
2017	J	`jnl`	Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects. CoRR Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill
2017	—	`conf`	Bayesian processing of big data using log homotopy based particle flow filters. SDF Muhammad Altamash Khan, Allan De Freitas, Lyudmila Mihaylova, Martin Ulmke, Wolfgang Koch
2017	J	`jnl`	Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences. CoRR Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
2017	C	`conf`	Dual-satellite source geolocation with time and frequency offsets and satellite location errors. FUSION Chao Liu, Le Yang, Lyudmila Mihaylova
2017	J	`jnl`	Guaranteed computation of robot trajectories. Robotics Auton. Syst. Simon Rohou, Luc Jaulin, Lyudmila Mihaylova, Fabrice Le Bars, Sandor M. Veres
2017	J	`jnl`	Location and Orientation Optimisation for Spatially Stretched Tripole Arrays Based on Compressive Sensing. CoRR Matthew B. Hawes, Lyudmila Mihaylova, Wei Liu
2017	J	`jnl`	Location and Orientation Optimization for Spatially Stretched Tripole Arrays Based on Compressive Sensing. IEEE Trans. Signal Process. Matthew B. Hawes, Lyudmila Mihaylova, Wei Liu
2017	C	`conf`	Online vehicle logo recognition using Cauchy prior logistic regression. FUSION Ruilong Chen, Matthew B. Hawes, Olga Isupova, Lyudmila Mihaylova, Hao Zhu
2017	J	`jnl`	Optimization-Based Hybrid Congestion Alleviation for 6LoWPAN Networks. IEEE Internet Things J. Hayder A. A. Al-Kashoash, Hayder M. Amer, Lyudmila Mihaylova, Andrew H. Kemp
2017	J	`jnl`	Overview of Environment Perception for Intelligent Vehicles. IEEE Trans. Intell. Transp. Syst. Hao Zhu, Ka-Veng Yuen, Lyudmila Mihaylova, Henry Leung
2017	C	`conf`	Traffic state estimation via a particle filter over a reduced measurement space. FUSION Matthew B. Hawes, Hayder M. Amer, Lyudmila Mihaylova
2016	J	`jnl`	A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. IEEE J. Biomed. Health Informatics Petia Georgieva, Nidhal Bouaynaya, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Lakhmi C. Jain
2016	J	`jnl`	An Improved Simulated Annealing Technique for Enhanced Mobility in Smart Cities. Sensors Hayder M. Amer, Naveed Salman, Matthew B. Hawes, Moumena Chaqfeh, Lyudmila Mihaylova, Martin Mayfield
2016	J	`jnl`	Autonomous crowds tracking with box particle filtering and convolution particle filtering. Autom. Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova, Visakan Kadirkamanathan
2016	—	`conf`	Autonomous flame detection in video based on saliency analysis and optical flow. MFI Zhenglin Li, Olga Isupova, Lyudmila Mihaylova, Lucile Rossi
2016	J	`jnl`	Compressive Sensing Based Design of Sparse Tripole Arrays. CoRR Matthew B. Hawes, Wei Liu, Lyudmila Mihaylova
2016	C	`conf`	Dealing with massive data with a distributed expectation propagation particle filter for object tracking. FUSION Allan De Freitas, Lyudmila Mihaylova
2016	C	`conf`	Dynamic Hierarchical Dirichlet Process for abnormal behaviour detection in video. FUSION Olga Isupova, Danil Kuzin, Lyudmila Mihaylova
2016	J	`jnl`	Localisation of Sensor Nodes with Hybrid Measurements in Wireless Sensor Networks . Sensors Muhammad Waqas Khan, Naveed Salman, Andrew H. Kemp, Lyudmila Mihaylova
2016	J	`jnl`	Location prediction optimisation in WSNs using Kriging interpolation. IET Wirel. Sens. Syst. Arshad Ali, Augustine Ikpehai, Bamidele Adebisi, Lyudmila Mihaylova
2016	J	`jnl`	Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model. IEEE Trans. Signal Process. Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers
2016	J	`jnl`	Subgradient-based Markov Chain Monte Carlo particle methods for discrete-time nonlinear filtering. Signal Process. Avishy Y. Carmi, Lyudmila Mihaylova, François Septier
2016	C	`conf`	Traffic state estimation via a particle filter with compressive sensing and historical traffic data. FUSION Matthew B. Hawes, Hayder M. Amer, Lyudmila Mihaylova
2016	C	`conf`	Vehicle logo recognition by spatial-SIFT combined with logistic regression. FUSION Ruilong Chen, Matthew B. Hawes, Lyudmila Mihaylova, Jingjing Xiao, Wei Liu
2015	J	`jnl`	A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation. CoRR Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill
2015	C	`conf`	A Bayesian compressed sensing Kalman filter for direction of arrival estimation. FUSION Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill
2015	—	`conf`	A Kriging algorithm for location fingerprinting based on received signal strength. SDF Chao Liu, Aroland Kiring, Naveed Salman, Lyudmila Mihaylova, Inaki Esnaola
2015	—	`conf`	A shrinkage-based particle filter for tracking with correlated measurements. SDF Aroland Kiring, Naveed Salman, Chao Liu, Inaki Esnaola, Lyudmila Mihaylova
2015	—	`conf`	An algorithm for Morphological classification of motile human sperm. SDF Lore E. M. Van Raemdonck, Ata ur-Rehman, Maria Luisa Davila Garcia, Lyudmila Mihaylova, Robert F. Harrison, Allan Pacey
2015	C	`conf`	An expectation maximisation algorithm for behaviour analysis in video. FUSION Olga Isupova, Lyudmila Mihaylova, Danil Kuzin, Garik Markarian, François Septier
2015	J	`jnl`	Autonomous detection and tracking under illumination changes, occlusions and moving camera. Signal Process. Harish Bhaskar, Kartik Dwivedi, Debi Prosad Dogra, Mohammed E. Al-Mualla, Lyudmila Mihaylova
2015	J	`jnl`	Compressive Sensing Based Design of Sparse Tripole Arrays. Sensors Matthew B. Hawes, Wei Liu, Lyudmila Mihaylova
2015	—	`conf`	Compressive sensing approaches for autonomous object detection in video sequences. SDF Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
2015	—	`conf`	EEG dynamic source localization using Marginalized Particle Filtering. BIBM Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova
2015	C	`conf`	How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking? FUSION Allan De Freitas, François Septier, Lyudmila Mihaylova, Simon J. Godsill
2015	J	`jnl`	Multi-Target Tracking and Occlusion Handling with Learned Variational Bayesian Clusters and a Social Force Model. CoRR Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers
2015	—	`conf`	Sequential Markov Chain Monte Carlo for multi-target tracking with correlated RSS measurements. ISSNIP Roland Lamberti, François Septier, Naveed Salman, Lyudmila Mihaylova
2015	C	`conf`	Tracking of wireless mobile nodes in he presence of unknown path-loss characteristics. FUSION Muhammad Waqas Khan, Andrew H. Kemp, Naveed Salman, Lyudmila Mihaylova
2014	J	`jnl`	Box-particle probability hypothesis density filtering. IEEE Trans. Aerosp. Electron. Syst. Marek Schikora, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, Wolfgang Koch
2014	C	`conf`	Crowd tracking with box particle filtering. FUSION Nikolay Petrov, Lyudmila Mihaylova, Allan De Freitas, Amadou Gning
2014	—	`conf`	Kriging interpolation based sensor node position management in dynamic environment. CSNDSP Arshad Ali, X. Costas, Lyudmila Mihaylova, Bamidele Adebisi, Augustine Ikpehai
2014	J	`jnl`	Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors. Sensors Hiba Haj Chhadé, Fahed Abdallah, Imad Mougharbel, Amadou Gning, Simon Julier, Lyudmila Mihaylova
2014	C	`conf`	Multi-target tracking by using particle filtering and a social force model. FUSION Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers
2014	C	`conf`	Multiple land mines localization using a wireless sensor network. FUSION Hiba Haj Chhadé, Fahed Abdallah, Imad Mougharbel, Amadou Gning, Lyudmila Mihaylova, Simon Julier
2014	J	`jnl`	Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking. Digit. Signal Process. Lyudmila Mihaylova, Avishy Carmi, François Septier, Amadou Gning, Sze Kim Pang, Simon J. Godsill
2014	J	`jnl`	Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments. IEEE Trans. Signal Process. Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova
2014	B	`conf`	Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. IJCNN Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya
2013	C	`conf`	A convolution particle filtering approach for tracking elliptical extended objects. FUSION Donka S. Angelova, Lyudmila Mihaylova, Nikolay Petrov, Amadou Gning
2013	J	`jnl`	An Introduction to Box Particle Filtering [Lecture Notes]. IEEE Signal Process. Mag. Amadou Gning, Branko Ristic, Lyudmila Mihaylova, Fahed Abdallah
2013	J	`jnl`	Articulated human body parts detection based on cluster background subtraction and foreground matching. Neurocomputing Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
2013	—	`conf`	Bayesian Approach for Reconstruction of Moving Brain Dipoles. ICIAR Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva
2013	C	`conf`	Clustering and a joint probabilistic data association filter for dealing with occlusions in multi-target tracking. FUSION Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers
2013	—	`ch.`	Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods. Modeling, Simulation and Visual Analysis of Crowds Avishy Y. Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill
2013	C	`conf`	Non-linear state estimation using imprecise samples. FUSION Amadou Gning, Simon Julier, Lyudmila Mihaylova
2013	J	`jnl`	Probability hypothesis density filtering for real-time traffic state estimation and prediction. Networks Heterog. Media Matthieu Canaud, Lyudmila Mihaylova, Jacques Sau, Nour-Eddin El Faouzi
2013	—	`conf`	The effect of recovery algorithms on compressive sensing background subtraction. SDF Rhian Davies, Lyudmila Mihaylova, Nicos G. Pavlidis, Idris A. Eckley
2013	Misc	`conf`	Variational Bayesian and belief propagation based data association for multi-target tracking. ICASSP Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers
2012	Misc	`conf`	A novel approach to estimating current and future states of technical systems. ICNC Kirill Bushminkin, Lyudmila Mihaylova, Denis Kolev, Vikhoreva Alexandra, Denis Rodionov
2012	—	`conf`	A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter. SDF Matthieu Canaud, Lyudmila Mihaylova, Nour-Eddin El Faouzi, Romain Billot, Jacques Sau
2012	C	`conf`	Bearings-only tracking with particle filtering for joint parameter learning and state estimation. FUSION Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova, Dave Vorley
2012	J	`jnl`	Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty. IEEE Trans. Signal Process. Amadou Gning, Branko Ristic, Lyudmila Mihaylova
2012	C	`conf`	Box Particle Filtering for extended object tracking. FUSION Nikolay Petrov, Amadou Gning, Lyudmila Mihaylova, Donka S. Angelova
2012	C	`conf`	Box-particle PHD filter for multi-target tracking. FUSION Marek Schikora, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, Wolfgang Koch
2012	C	`conf`	Comparison of angle-only filtering algorithms in 3D using Cartesian and modified spherical coordinates. FUSION Mahendra Mallick, Mark R. Morelande, Lyudmila Mihaylova, Sanjeev Arulampalam, Yanjun Yan
2012	C	`conf`	Continuous-discrete filtering using EKF, UKF, and PF. FUSION Mahendra Mallick, Mark R. Morelande, Lyudmila Mihaylova
2012	—	`conf`	Extended object tracking with convolution particle filtering. IEEE Conf. of Intelligent Systems Donka S. Angelova, Lyudmila Mihaylova, Nikolay Petrov, Amadou Gning
2012	—	`conf`	On the performance of the Box Particle Filter for extended object tracking using laser data. SDF Nikolay Petrov, Martin Ulmke, Lyudmila Mihaylova, Amadou Gning, Marek Schikora, Monika Wieneke, Wolfgang Koch
2012	J	`jnl`	Parallelized Particle and Gaussian Sum Particle Filters for Large-Scale Freeway Traffic Systems. IEEE Trans. Intell. Transp. Syst. Lyudmila Mihaylova, Andreas Hegyi, Amadou Gning, René K. Boel
2012	B	`conf`	Particle filters and beamforming for EEG source estimation. IJCNN Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain
2012	—	`ch.`	Sensor and Data Fusion. Handbook of Soft Computing for Video Surveillance Lawrence A. Klein, Lyudmila Mihaylova, Nour-Eddin El Faouzi
2012	Misc	`conf`	Unscented compressed sensing. ICASSP Avishy Carmi, Lyudmila Mihaylova, Dimitri Kanevsky
2012	J	`jnl`	Video Distribution Techniques Over WiMAX Networks for m-Health Applications. IEEE Trans. Inf. Technol. Biomed. Garik Markarian, Lyudmila Mihaylova, Dmitry V. Tsitserov, Anna Zvikhachevskaya
2011	C	`conf`	A box particle filter for stochastic and set-theoretic measurements with association uncertainty. FUSION Amadou Gning, Branko Ristic, Lyudmila Mihaylova
2011	C	`conf`	A novel Sequential Monte Carlo approach for extended object tracking based on border parameterisation. FUSION Nikolay Petrov, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova
2011	—	`conf`	A sequential Monte Carlo approach for extended object tracking in the presence of clutter. GI-Jahrestagung Nikolay Petrov, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova
2011	C	`conf`	Angle-only filtering in 3D using modified spherical and log spherical coordinates. FUSION Mahendra Mallick, Sanjeev Arulampalam, Lyudmila Mihaylova, Yanjun Yan
2011	J	`jnl`	Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects. EURASIP J. Image Video Process. Harish Bhaskar, Lyudmila Mihaylova
2011	J	`jnl`	Contour segmentation in 2D ultrasound medical images with particle filtering. Mach. Vis. Appl. Donka S. Angelova, Lyudmila Mihaylova
2011	J	`jnl`	Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods. IEEE Trans. Signal Process. Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill
2011	—	`conf`	Information driven approach for sensor positioning in wireless sensor networks. GI-Jahrestagung Arshad Ali, Costas Xydeas, Lyudmila Mihaylova, El Hadji Amadou Gning
2011	J	`jnl`	Interval Macroscopic Models for Traffic Networks. IEEE Trans. Intell. Transp. Syst. Amadou Gning, Lyudmila Mihaylova, René K. Boel
2011	J	`jnl`	Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise. IEEE Trans. Mob. Comput. Lyudmila Mihaylova, Donka S. Angelova, David R. Bull, Nishan Canagarajah
2011	—	`conf`	MCMC-based tracking and identification of leaders in groups. ICCV Workshops Avishy Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill
2011	—	`conf`	Md isa enhanced positioning techniques for hybrid wireless networks. GI-Jahrestagung Anna Zvikhachevskaya, Vassil Gourov, Lyudmila Mihaylova, Azmi Awang
2011	C	`conf`	Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty. FUSION Branko Ristic, Amadou Gning, Lyudmila Mihaylova
2011	Misc	`conf`	Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking. ICASSP Lyudmila Mihaylova, Avishy Carmi
2011	Misc	`conf`	Video object tracking with differential Structural SIMilarity index. ICASSP Artur Loza, Fanglin Wang, Jie Yang, Lyudmila Mihaylova
2010	—	`conf`	Bearings Only Versus Bearings and Extent Tracking for Missile Guidance Systems Utilising Particle Methods. GI Jahrestagung (2) Alexander Watson, Lyudmila Mihaylova, Dave Vorley
2010	C	`conf`	Combined feature-level video indexing using block-based motion estimation. FUSION Harish Bhaskar, Lyudmila Mihaylova
2010	C	`conf`	Mixture of uniform probability density functions for non linear state estimation using interval analysis. FUSION Amadou Gning, Lyudmila Mihaylova, Fahed Abdallah
2010	C	`conf`	Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks. FUSION Lyudmila Mihaylova, Donka S. Angelova
2010	J	`jnl`	Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models. IEEE Trans. Circuits Syst. Video Technol. Harish Bhaskar, Lyudmila Mihaylova, Alin Achim
2009	C	`conf`	Contour extraction from ultrasound images viewed as a tracking problem. FUSION Donka S. Angelova, Lyudmila Mihaylova
2009	C	`conf`	Dynamic clustering and belief propagation for distributed inference in random sensor networks with deficient links. FUSION Amadou Gning, Lyudmila Mihaylova
2009	—	`conf`	Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation. GI Jahrestagung Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov, René K. Boel
2009	B	`conf`	Quality of service consideration for the wireless telemedicine and e-health services. WCNC Anna Zvikhachevskaya, Garik Markarian, Lyudmila Mihaylova
2009	J	`jnl`	Structural similarity-based object tracking in multimodality surveillance videos. Mach. Vis. Appl. Artur Loza, Lyudmila Mihaylova, David R. Bull, Cedric Nishan Canagarajah
2008	J	`jnl`	Extended Object Tracking Using Monte Carlo Methods. IEEE Trans. Signal Process. Donka S. Angelova, Lyudmila Mihaylova
2008	C	`conf`	Ground target group structure and state estimation with particle filtering. FUSION Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill
2008	C	`conf`	Multi-resolution learning vector quantisation based automatic colour clustering. FUSION Andrew M. Payne, Harish Bhaskar, Lyudmila Mihaylova
2007	—	`conf`	Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection. GI Jahrestagung (2) Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell
2007	J	`jnl`	Freeway traffic estimation within particle filtering framework. Autom. Lyudmila Mihaylova, René K. Boel, Andreas Hegyi
2007	J	`jnl`	How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability? CoRR Vitaliy Kurlin, Lyudmila Mihaylova, Simon Maskell
2007	J	`jnl`	Mobility Tracking in Cellular Networks Using Particle Filtering. IEEE Trans. Wirel. Commun. Lyudmila Mihaylova, Donka S. Angelova, S. Honary, David R. Bull, Cedric Nishan Canagarajah, Branko Ristic
2007	J	`jnl`	Sequential Monte Carlo tracking by fusing multiple cues in video sequences. Image Vis. Comput. Paul Brasnett, Lyudmila Mihaylova, David R. Bull, Cedric Nishan Canagarajah
2006	Misc	`conf`	A Monte Carlo Algorithm for State and Parameter Estimation of Extended Targets. International Conference on Computational Science (3) Donka S. Angelova, Lyudmila Mihaylova
2006	C	`conf`	Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks. FUSION Lyudmila Mihaylova, Donka S. Angelova, Cedric Nishan Canagarajah, David R. Bull
2006	—	`conf`	Extended Object Tracking Using Mixture Kalman Filtering. Numerical Methods and Applications Donka S. Angelova, Lyudmila Mihaylova
2006	J	`jnl`	Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information. Digit. Signal Process. Donka S. Angelova, Lyudmila Mihaylova
2006	C	`conf`	Structural Similarity-Based Object Tracking in Video Sequences. FUSION Artur Loza, Lyudmila Mihaylova, Nishan Canagarajah, David R. Bull
2006	—	`conf`	The Influence of Multi-Sensor Video Fusion on Object Tracking Using a Particle Filter. GI Jahrestagung (1) Lyudmila Mihaylova, Artur Loza, Stavri G. Nikolov, John Joseph Lewis, Eduardo Fernández Canga, Jian Li, Timothy D. Dixon, Cedric Nishan Canagarajah, David R. Bull
2005	—	`conf`	Particle filtering with multiple cues for object tracking in video sequences. Electronic Imaging: Image and Video Communications and Processing Paul A. Brasnett, Lyudmila Mihaylova, Nishan Canagarajah, David R. Bull
2004	—	`conf`	A particle filter for freeway traffic estimation. CDC Lyudmila Mihaylova, René K. Boel
2004	Misc	`conf`	Monte Carlo Algorithm for Maneuvering Target Tracking and Classification. International Conference on Computational Science Donka S. Angelova, Lyudmila Mihaylova, Tzvetan Semerdjiev
2003	J	`jnl`	A multisine approach for trajectory optimization based on information gain. Robotics Auton. Syst. Lyudmila Mihaylova, Joris De Schutter, Herman Bruyninckx
2003	—	`conf`	Hybrid stochastic framework for freeway traffic flow modelling. ISICT Lyudmila Mihaylova, René K. Boel
2002	—	`conf`	A Comparison of Decision Making Criteria and Optimization Methods for Active Robotic Sensing. Numerical Methods and Application Lyudmila Mihaylova, Tine Lefebvre, Herman Bruyninckx, Klaas Gadeyne, Joris De Schutter
2002	A	`conf`	A multisine approach for trajectory optimization based on information gain. IROS Lyudmila Mihaylova, Joris De Schutter, Herman Bruyninckx
1996	J	`jnl`	Kalman filter sensitivity with respect to parametric noises uncertainty. Kybernetika Nikola Madjarov, Lyudmila Mihaylova