Lyudmila Mihaylova

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 151

Top Venues

FUSION

CoRR

SDF

IEEE Trans. Aerosp. Electron. Syst.

Publications

Bhoomika Gandhi, Lyudmila Mihaylova, Sanja Dogramadzi
Head tracking using an optical soft tactile sensing surface. Frontiers Robotics AI 11 (2024)
Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human-robot collaborative manufacturing. Robotics Comput. Integr. Manuf. 85 (2024)
Jinjin Yan, Youbing Zheng, Jinquan Yang, Lyudmila Mihaylova, Weijie Yuan, Fuqiang Gu
PLPF-VSLAM: An indoor visual SLAM with adaptive fusion of point-line-plane features. J. Field Robotics 41 (1) (2024)
Fethi Candan, Aykut Beke, Mahdi Mahfouf, Lyudmila Mihaylova
A Real-time Fuzzy Interacting Multiple-Model Velocity Obstacle Avoidance Approach for Unmanned Aerial Vehicles. J. Intell. Robotic Syst. 110 (2) (2024)
Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova
BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. Trans. Mach. Learn. Res. 2024 (2024)
Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. CoRR (2023)
Jingxuan Su, Sean R. Anderson, Lyudmila Mihaylova
Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification. FUSION (2023)
Muhammad Ali Shiwani, Timothy J. A. Chico, Fabio Ciravegna, Lyudmila Mihaylova
Continuous Monitoring of Health and Mobility Indicators in Patients with Cardiovascular Disease: A Review of Recent Technologies. Sensors 23 (12) (2023)
Chao Xue, Yulong Huang, Cheng Zhao, Xiaodong Li, Lyudmila Mihaylova, Youfu Li, Jonathon A. Chambers
A Gaussian-Generalized-Inverse-Gaussian Joint-Distribution-Based Adaptive MSCKF for Visual-Inertial Odometry Navigation. IEEE Trans. Aerosp. Electron. Syst. 59 (3) (2023)
Rui Zhang, Rob Worley, Sarah Edwards, Jonathan M. Aitken, Sean R. Anderson, Lyudmila Mihaylova
Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity. IEEE Robotics Autom. Lett. 8 (6) (2023)
Fethi Candan, Aykut Beke, Lyudmila Mihaylova
An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter. IROS (2023)
Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue
On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing. FUSION (2023)
Fethi Candan, Omer Faruk Dik, Tufan Kumbasar, Mahdi Mahfouf, Lyudmila Mihaylova
Real-Time Interval Type-2 Fuzzy Control of an Unmanned Aerial Vehicle with Flexible Cable-Connected Payload. Algorithms 16 (6) (2023)
S. Edwards, Rui Zhang, Rob Worley, Lyudmila Mihaylova, Jonathan M. Aitken, Sean R. Anderson
A robust method for approximate visual robot localization in feature-sparse sewer pipes. Frontiers Robotics AI 10 (2023)
Jingxuan Su, Sean R. Anderson, Mahed Javed, Charoenchai Khompatraporn, Apinanthana Udomsakdigool, Lyudmila Mihaylova
Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting. Neurocomputing 555 (2023)
Xingchi Liu, Mahsa Derakhshani, Lyudmila Mihaylova, Sangarapillai Lambotharan
Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming. IEEE J. Sel. Areas Commun. 41 (3) (2023)
Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 17 (1) (2023)
Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. FUSION (2023)
Haoran Cui, Lyudmila Mihaylova, Xiaoxu Wang, Shuaihe Gao
Uncertainty-Aware Variational Inference for Target Tracking. IEEE Trans. Aerosp. Electron. Syst. 59 (1) (2023)
Fethi Candan, Aykut Beke, Chen Shen, Lyudmila Mihaylova
An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation. INISTA (2022)
Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue
On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems. FUSION (2022)
Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova
Review of Recent Advances in Gaussian Process Regression Methods. UKCI (2022)
Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova
Efficient Factorisation-based Gaussian Process Approaches for Online Tracking. FUSION (2022)
Xingchi Liu, Chenyi Lyu, Jemin George, Tien Pham, Lyudmila Mihaylova
A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks. FUSION (2022)
Chuhao Qin, Fethi Candan, Lyudmila Mihaylova, Evangelos Pournaras
3, 2, 1, Drones Go! A Testbed to Take Off UAV Swarm Intelligence for Distributed Sensing. UKCI (2022)
Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova
Deep Learning for Audio Visual Emotion Recognition. FUSION (2022)
Tianhao Zhang, Waqas Aftab, Lyudmila Mihaylova, Christian Langran-Wheeler, Samuel Rigby, David I. Fletcher, Steve Maddock, Garry Bosworth
Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention - A Survey. Sensors 22 (12) (2022)
Shidrokh Goudarzi, Wenwu Wang, Pei Xiao, Lyudmila Mihaylova, Simon J. Godsill
UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking. FUSION (2022)
Fengchi Zhu, Yulong Huang, Chao Xue, Lyudmila Mihaylova, Jonathon A. Chambers
A Sliding Window Variational Outlier-Robust Kalman Filter Based on Student's t-Noise Modeling. IEEE Trans. Aerosp. Electron. Syst. 58 (5) (2022)
Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang
Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. ICASSP (2022)
Peng Wang, Lyudmila Mihaylova, Philippe Bonnifait, Philippe Xu, Jianwen Jiang
Feature-refined box particle filtering for autonomous vehicle localisation with OpenStreetMap. Eng. Appl. Artif. Intell. 105 (2021)
Rui Zhang, Mathew H. Evans, Rob Worley, Sean R. Anderson, Lyudmila Mihaylova
Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity. TAROS (2021)
Almudena Buelta, Alberto Olivares, Ernesto Staffetti, Waqas Aftab, Lyudmila Mihaylova
A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking. IEEE Trans. Aerosp. Electron. Syst. 57 (6) (2021)
Hayder M. Amer, Hayder A. A. Al-Kashoash, Shuang Ma, Mohammed J. Khami, Lyudmila Mihaylova
Hybrid game approach-based channel congestion control for the Internet of Vehicles. IET Wirel. Sens. Syst. 11 (1) (2021)
Chen Shen, Lyudmila Mihaylova
A flexible robust Student's t-based multimodel approach with maximum Versoria criterion. Signal Process. 182 (2021)
Y. Lin, Peng Wang, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova
Image Fusion for Remote Sizing of Hot High Quality Steel Sections. UKCI (2021)
Shenglin Wang, Peng Wang, Lyudmila Mihaylova, Matthew Hill
Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification. FUSION (2021)
Xi Li, Yi Liu, Le Yang, Lyudmila Mihaylova, Bing Deng
Enhanced Fixed-Interval Smoothing for Markovian Switching Systems. FUSION (2021)
Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova
An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. FUSION (2021)
Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
Deep ConvNet: Non-Random Weight Initialization for Repeatable Determinism, Examined with FSGM. Sensors 21 (14) (2021)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR (2021)
Lyudmila Mihaylova, Gökhan Inalhan
From the Editor-in-Chief FEBRUARY 2021. IEEE Trans. Aerosp. Electron. Syst. 57 (1) (2021)
Yifei Zhu, Peng Wang, Lyudmila Mihaylova
A Convolutional Neural Network Combined with a Gaussian Process for Speed Prediction in Traffic Networks. MFI (2021)
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction. CoRR (2021)
Waqas Aftab, Lyudmila Mihaylova
A Learning Gaussian Process Approach for Maneuvering Target Tracking and Smoothing. IEEE Trans. Aerosp. Electron. Syst. 57 (1) (2021)
Zhenglin Li, Lyudmila Mihaylova, Le Yang
A deep learning framework for autonomous flame detection. Neurocomputing 448 (2021)
Seamus Edwards, Lyudmila Mihaylova, Jonathan M. Aitken, Sean R. Anderson
Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering. TAROS (2021)
Mahed Javed, Lyudmila Mihaylova, Nidhal Bouaynaya
Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. FUSION (2021)
Jonathan M. Aitken, Mathew H. Evans, Rob Worley, Seamus Edwards, Rui Zhang, Tony J. Dodd, Lyudmila Mihaylova, Sean R. Anderson
Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review. IEEE Access 9 (2021)
Peng Wang, Lyudmila Mihaylova, Said Munir, Rohit Chakraborty, Jikai Wang, Martin Mayfield, Khan Alam, Muhammad Fahim Khokhar, Daniel Coca
A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach. Signal Process. 183 (2021)
Yi Liu, Xi Li, Yanbo Xue, Stephen John Weddell, Le Yang, Lyudmila Mihaylova
Outlier-Robust Schmidt-Kalman Filter Using Variational Inference. FUSION (2020)
Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova
A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling. FUSION (2020)
Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
Non-Random Weight Initialisation in Deep Convolutional Networks Applied to Safety Critical Artificial Intelligence. DeSE (2020)
Hayder M. Amer, Hayder A. A. Al-Kashoash, Mohammed J. Khami, Martin Mayfield, Lyudmila Mihaylova
Non-cooperative game based congestion control for data rate optimization in vehicular ad hoc networks. Ad Hoc Networks 107 (2020)
Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP (2020)
Waqas Aftab, Lyudmila Mihaylova
On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking. FUSION (2020)
Yifei Zhu, Alanna C. Green, Lingzhong Guo, Holly R. Evans, Lyudmila Mihaylova
Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images. FUSION (2020)
Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He
Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. IJCNN (2020)
Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
Repeatable determinism using non-random weight initialisations in smart city applications of deep learning. J. Reliab. Intell. Environ. 6 (1) (2020)
Joshua Giles, Kai Keng Ang, Lyudmila Mihaylova, Mahnaz Arvaneh
Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces. EMBC (2020)
Ruilong Chen, Lyudmila Mihaylova, Hao Zhu, Nidhal C. Bouaynaya
A Deep Learning Framework for Joint Image Restoration and Recognition. Circuits Syst. Signal Process. 39 (3) (2020)
Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers
Robust Rauch-Tung-Striebel Smoothing Framework for Heavy-Tailed and/or Skew Noises. IEEE Trans. Aerosp. Electron. Syst. 56 (1) (2020)
Kennedy J. Offor, Peng Wang, Lyudmila Mihaylova
Multi-Model Bayesian Kriging for Urban Traffic State Prediction. SDF (2019)
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
Structural Recurrent Neural Network for Traffic Speed Prediction. CoRR (2019)
Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore
An End-to-End Deep Neural Network for Facial Emotion Classification. FUSION (2019)
Ahmed M. Azab, Lyudmila Mihaylova, Hamed Ahmadi, Mahnaz Arvaneh
Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. ICASSP (2019)
Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova
Computer Vision Methods for Automating High Temperature Steel Section Sizing in Thermal Images. SDF (2019)
Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration. ISSPIT (2019)
Mahed Javed, Lyudmila Mihaylova
Leveraging Uncertainty in Adversarial Learning to Improve Deep Learning Based Segmentation. SDF (2019)
Hao Zhu, Chunxia Tang, Allan De Freitas, Lyudmila Mihaylova
A Maximum Likelihood Approach to Joint Groupwise Image Registration and Fusion by a Student-$t$ Mixture Model. FUSION (2019)
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova
Structural Recurrent Neural Network for Traffic Speed Prediction. ICASSP (2019)
Md Asif Jalal, Waqas Aftab, Roger K. Moore, Lyudmila Mihaylova
Dual Stream Spatio-Temporal Motion Fusion With Self-Attention For Action Recognition. FUSION (2019)
Xi Li, Yi Liu, Lyudmila Mihaylova, Le Yang, Steve Weddell, Fucheng Guo
Enhanced Multiple Model GPB2 Filtering Using Variational Inference. FUSION (2019)
Waqas Aftab, Lyudmila Mihaylova
A Gaussian Process Regression Approach for Point Target Tracking. FUSION (2019)
Waqas Aftab, Roland Hostettler, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova
Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. IEEE Trans. Veh. Technol. 68 (3) (2019)
Fodio S. Longman, Lyudmila Mihaylova, Le Yang, Konstantinos N. Topouzelis
Multi-Band Image Fusion Using Gaussian Process Regression with Sparse Rational Quadratic Kernel. FUSION (2019)
Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
Bayesian Neural Networks for Sparse Coding. ICASSP (2019)
Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova
Variational Bayesian inference of hidden stochastic processes with unknown parameters. CoRR (2019)
Le Yang, Ke Wang, Lyudmila Mihaylova
Online Sparse Multi-Output Gaussian Process Regression and Learning. IEEE Trans. Signal Inf. Process. over Networks 5 (2) (2019)
Richard N. M. Rudd-Orthner, Lyudmila Mihaylova
Non-Random Weight Initialisation in Deep Learning Networks for Repeatable Determinism. DESSERT (2019)
Hao Zhu, Ke Zou, Yongfu Li, Ming Cen, Lyudmila Mihaylova
Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving. Sensors 19 (12) (2019)
Hao Zhu, Bin Guo, Ke Zou, Yongfu Li, Ka-Veng Yuen, Lyudmila Mihaylova, Henry Leung
A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration. Sensors 19 (5) (2019)
Mingming Bai, Yulong Huang, Yonggang Zhang, Lyudmila Mihaylova, Jonathon A. Chambers
A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach. ICASSP (2019)
Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Marek Schikora, Martin Ulmke, Donka S. Angelova, Wolfgang Koch
A Box Particle Filter Method for Tracking Multiple Extended Objects. IEEE Trans. Aerosp. Electron. Syst. 55 (4) (2019)
Tariq Umer, Mubashir Husain Rehmani, Ahmed E. Kamal, Lyudmila Mihaylova
Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications. Future Gener. Comput. Syst. 92 (2019)
Oussama Laib, Mohamed Tarek Khadir, Lyudmila Mihaylova
A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data. FUSION (2018)
Youngjoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova
A Capsule Network for Traffic Speed Prediction in Complex Road Networks. SDF (2018)
Manaswi Chebiyyam, Rohit Desam Reddy, Debi Prosad Dogra, Harish Bhaskar, Lyudmila Mihaylova
Motion anomaly detection and trajectory analysis in visual surveillance. Multim. Tools Appl. 77 (13) (2018)
Peng Wang, Youngjoo Kim, Lubos Vaci, Haoze Yang, Lyudmila Mihaylova
Short-Term Traffic Prediction with Vicinity Gaussian Process in the Presence of Missing Data. SDF (2018)
Xi Li, Le Yang, Lyudmila Mihaylova, Fucheng Guo, Min Zhang
Enhanced GMM-Based Filtering with Measurement Update Ordering and Innovation-Based Pruning. FUSION (2018)
Youngjoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova
A Capsule Network for Traffic Speed Prediction in Complex Road Networks. CoRR (2018)
Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova
A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. FUSION (2018)
Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors. CoRR (2018)
Mahnaz Arvaneh, Lyudmila Mihaylova, Ahmed M. Azab
Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface. SMC (2018)
Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. CoRR (2018)
Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers
A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions. FUSION (2018)
Fodio S. Longman, Lyudmila Mihaylova, Le Yang
A Gaussian Process Regression Approach for Fusion of Remote Sensing Images for Oil Spill Segmentation. FUSION (2018)
Syed Safwan Khalid, Naveed ur Rehman, Shafayat Abrar, Lyudmila Mihaylova
Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes. FUSION (2018)
Bryan (Byung-Gyu) Kim, Kye-Shin Lee, Lyudmila Mihaylova, Rajendra Prasath
Special collection on recent advances in sensor-based smart car technology. Int. J. Distributed Sens. Networks 14 (6) (2018)
Ruilong Chen, Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore
Learning Capsules for Vehicle Logo Recognition. FUSION (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lyudmila Mihaylova