Projects per year
Personal profile
Research interests
- Unsupervised machine learning: anomaly detection, topic modeling, sparse modelling, representation learning
- Bayesian statistics and Bayesian nonparametrics
- Machine learning for environment protection and conservation
For more details please refer to my personal page - https://olgaisupova.github.io/
Teaching interests
Machine Learning and Artificial Intelligence
Willing to supervise doctoral students
Accepting new PhD students in machine learning
Education/Academic qualification
Machine Learning, Doctor of Philosophy, University of Sheffield
1 Apr 2014 → 30 Mar 2017
Award Date: 7 Jul 2017
Applied Mathematics and System Programming, Master of Science, Lomonosov Moscow State University
1 Sep 2007 → 30 Jun 2012
Fingerprint
Dive into the research topics where Olga Isupova is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
-
Artificial intelligence for identifying new disease clusters in patients with immune-mediated inflammatory conditions: A Proof-of-Concept Study
Nishtala, P., Isupova, O., McGrogan, A., McHugh, N., Roy, S., Tillett, W. & Snowball, J.
National Institute for Health Research
4/01/21 → 31/12/21
Project: Central government, health and local authorities
-
Using very-high-resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes
Duporge, I., Isupova, O., Reece, S., Macdonald, D. W. & Wang, T., 1 Sep 2021, In: Remote Sensing in Ecology and Conservation. 7, 3, p. 369-381Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (SciVal) -
Mining and tailings dam detection in satellite imagery using deep learning
Balaniuk, R., Isupova, O. & Reece, S., 4 Dec 2020, In: Sensors (Switzerland). 20, 23, p. 1-26 26 p., 6936.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
Bayesian Neural Networks for Sparse Coding
Kuzin, D., Isupova, O. & Mihaylova, L., 17 Apr 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. IEEE, p. 2992-2996 5 p. 8682174. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Chapter in a published conference proceeding
1 Citation (SciVal) -
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning
Kuzin, D., Yang, L., Isupova, O. & Mihaylova, L., 6 Sep 2018, 2018 21st International Conference on Information Fusion, FUSION 2018. IEEE, p. 39-46 8 p. (2018 21st International Conference on Information Fusion, FUSION 2018).Research output: Chapter in Book/Report/Conference proceeding › Chapter in a published conference proceeding
-
Learning methods for dynamic topic modeling in automated behaviour analysis
Isupova, O., Kuzin, D. & Mihaylova, L., 30 Sep 2018, In: IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 3980 - 3993 14 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (SciVal)