| 2025 | HPCC | Deep Learning Methods for Apnoea Detection Based on Pulse and Oximetry Data. | Dongjin Yang, Jingqiong Zhang, Eishaan Bhargava, Heather Elphick, Sanja Dogramadzi, Lyudmila S. Mihaylova |
| 2022 | FUSION | Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. | Navin Cooray, Zhenglin Li, Jinzhuo Wang, Christine Lo, Mahnaz Arvaneh, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos, Lyudmila S. Mihaylova |
| 2020 | FUSION | A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data. | Zhenglin Li, Mahnaz Arvaneh, Heather Elphick, Ruth N. Kingshott, Lyudmila S. Mihaylova |
| 2019 | ICASSP | A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI. | Adrian L. Ashley, Mahnaz Arvaneh, Lyudmila S. Mihaylova |
| 2019 | ICASSP | A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface. | Joshua Giles, Kai Keng Ang, Lyudmila S. Mihaylova, Mahnaz Arvaneh |
| 2018 | FUSION | Gaussian Processes for RSS Fingerprints Construction in Indoor Localization. | Yuxin Zhao, Chao Liu, Lyudmila S. Mihaylova, Fredrik Gunnarsson |
| 2017 | FUSION | Tracking of interacting targets. | Carlos Moreno Leon, Lyudmila S. Mihaylova, Hans Driessen |