| Autonomous flame detection in videos with a Dirichlet process Gaussian mixture color model Z Li, LS Mihaylova, O Isupova, L Rossi IEEE Transactions on Industrial Informatics 14 (3), 1146-1154, 2017 | 12 | 2017 |
| Learning methods for dynamic topic modeling in automated behavior analysis O Isupova, D Kuzin, L Mihaylova IEEE transactions on neural networks and learning systems 29 (9), 3980-3993, 2018 | 11 | 2018 |
| Online vehicle logo recognition using Cauchy prior logistic regression R Chen, M Hawes, O Isupova, L Mihaylova, H Zhu 2017 20th International Conference on Information Fusion (Fusion), 1-8, 2017 | 6 | 2017 |
| Anomaly detection in video with Bayesian nonparametrics O Isupova, D Kuzin, L Mihaylova arXiv preprint arXiv:1606.08455, 2016 | 6 | 2016 |
| Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video O Isupova Springer, 2018 | 5 | 2018 |
| An expectation maximisation algorithm for behaviour analysis in video O Isupova, L Mihaylova, D Kuzin, G Markarian, F Septier 2015 18th International Conference on Information Fusion (Fusion), 126-133, 2015 | 5 | 2015 |
| Compressive sensing approaches for autonomous object detection in video sequences D Kuzin, O Isupova, L Mihaylova 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-6, 2015 | 4 | 2015 |
| Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors D Kuzin, O Isupova, L Mihaylova IEEE Transactions on Signal Processing 66 (17), 4598-4611, 2018 | 3 | 2018 |
| Autonomous flame detection in video based on saliency analysis and optical flow Z Li, O Isupova, L Mihaylova, L Rossi 2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016 | 3 | 2016 |
| Dynamic hierarchical dirichlet process for abnormal behaviour detection in video O Isupova, D Kuzin, L Mihaylova 2016 19th International Conference on Information Fusion (FUSION), 750-757, 2016 | 3 | 2016 |
| Abnormal behaviour detection in video using topic modeling O Isupova, D Kuzin, L Mihaylova USES Conference Proceedings, 2015 | 2 | 2015 |
| Bayesian Neural Networks for Sparse Coding D Kuzin, O Isupova, L Mihaylova ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 1 | 2019 |
| Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning D Kuzin, L Yang, O Isupova, L Mihaylova 2018 21st International Conference on Information Fusion (FUSION), 39-46, 2018 | 1 | 2018 |
| Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes I Duporge, O Isupova, S Reece, DW Macdonald, T Wang Remote Sensing in Ecology and Conservation, 2020 | | 2020 |
| Mining and Tailings Dam Detection in Satellite Imagery Using Deep Learning R Balaniuk, O Isupova, S Reece Sensors 20 (23), 6936, 2020 | | 2020 |
| Disaster Response: Leveraging Wide Area Earth Observation with Machine Learning. O Isupova, D Kuzin, B Simmons, S Reece Geophysical Research Abstracts 21, 2019 | | 2019 |
| Uncertainty propagation in neural networks for sparse coding D Kuzin, O Isupova, L Mihaylova arXiv preprint arXiv:1811.12465, 2018 | | 2018 |
| BCCNet: Bayesian classifier combination neural network O Isupova, Y Li, D Kuzin, SJ Roberts, K Willis, S Reece arXiv preprint arXiv:1811.12258, 2018 | | 2018 |
| Conclusions and Future Work O Isupova Machine Learning Methods for Behaviour Analysis and Anomaly Detection in …, 2018 | | 2018 |
| Proposed Learning Algorithms for Markov Clustering Topic Model O Isupova Machine Learning Methods for Behaviour Analysis and Anomaly Detection in …, 2018 | | 2018 |
Lyudmila MihaylovaProfessor of Signal Processing and Control, University of Sheffield, UKVerified email at sheffield.ac.uk
