Publications and Code

2022

• Edward Clark, Alan Hunter, Olga Isupova, and Marcus Donnelly
  Exploring the use of AI in marine acoustic sensor management
  Meetings on Acoustics ICUA2022
  SCitation (pdf)

• Prasad Nishtala, Neil Mchugh, William Tillett, Sarah Skeoch, Jennifer Humphreys, John Pauling, Olga Isupova, Anita Mcgrogan, Julia Snowball, and Sandipan Roy
  POS1411 Artificial intelligence for identifying new disease clusters in patients with psoriatic arthritis/pso- riasis: a proof-of-concept study
  Annals of the Rheumatic Diseases
  BMJ (pdf)

2021

• Danil Kuzin, Olga Isupova, Brooke D Simmons, and Steven Reece
  Disaster mapping from satellites: damage detection with crowdsourced point labels — Oral
  NeurIPS 2021 Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI + HADR)
  arXiv

• Isla Duporge, Olga Isupova, Steven Reece, David W. Macdonald, and Tiejun Wang
  Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes
  Remote Sensing in Ecology and Conservation AND CV4Animals Computer Vision for Animal Behavior Tracking and Modeling Workshop at Computer Vision and Pattern Recognition (CVPR) 2021
  ZLS (pdf)

• Allen G. Hart, Kevin R. Olding, A. M. G. Cox, Olga Isupova, and J. H. P. Dawes
  Using echo state networks to approximate value functions for control
  Submitted for publication
  arXiv

2020

• Remis Balaniuk, Olga Isupova, and Steven Reece
  Mining and tailings dam detection in satellite imagery using deep learning
  Sensors
  MDPI (pdf)

2019

• Olga Isupova, Danil Kuzin, Brooke Simmons, and Steven Reece
  Rapid post disaster damage mapping with satellite imagery, citizen scientists and machine learning
  UK Alliance for Disaster Research Annual Conference

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova
  Baysian neural networks for sparse coding
  International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
  IEEE pdf

• Olga Isupova, Danil Kuzin, Brooke Simmons, and Steven Reece
  Disaster response: Leveraging wide area earth observation with machine learning
  General Assembly 2019 of the European Geosciences Union

2018

• Olga Isupova, Yunpeng Li, Danil Kuzin, Stephen J Roberts, Katherine Willis, and Steven Reece
  BCCNet: Bayesian classifier combination neural network — Best paper award
  NeurIPS 2018 Workshop on Machine Learning for the Developing World
  arXiv Code

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova
  Discovering dynamic topic transitions in topic models
  NeurIPS 2018 All of Bayesian Nonparametrics (Especially the Useful Bits) Workshop
  pdf

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova
  Uncertainty propagation in neural networks for sparse coding
  NeurIPS 2018 Bayesian Deep Learning Workshop
  arXiv

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova
  Spatio-temporal structured sparse regression with hierarchical Gaussian process priors
  IEEE Transactions on Signal Processing
  IEEE arXiv Code

• Danil Kuzin, Le Yang, Olga Isupova, and Lyudmila Mihaylova
  Ensemble Kalman filtering for online Gaussian process regression and learning
  21st International Conference on Information Fusion (Fusion)
  IEEE arXiv Code

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova
  Learning methods for dynamic topic modeling in automated behaviour analysis
  IEEE Transactions on Neural Networks and Learning Systems
  IEEE arXiv Code

2017

• Zhenglin Li, Olga Isupova, Lyudmila Mihaylova, and Lucile Rossi
  Autonomous flame detection in videos with a Dirichlet process Gaussian mixture color model
  IEEE Transactions on Industrial Informatics
  IEEE

• Ruilong Chen, Matthew Hawes, Olga Isupova, Lyudmila Mihaylova, and Hao Zhu
  Online vehicle logo recognition using Cauchy prior logistic regression
  20th International Conference on Information Fusion (Fusion)
  IEEE ResearchGate

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova
  Structured sparse modelling with hierarchical GP
  Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop
  arXiv

2016

• Zhenglin Li, Olga Isupova, Lyudmila Mihaylova, and Lucile Rossi
  Autonomous flame detection in video based on saliency analysis and optical flow
  IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
  IEEE ResearchGate

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova
  Dynamic hierarchical Dirichlet process for abnormal behaviour detection in video
  19th International Conference on Information Fusion (Fusion)
  IEEE arXiv Code

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova
  Anomaly detection in video with Bayesian nonparametrics
  ICML Anomaly Detection Workshop
  arXiv

2015

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova
  Compressive sensing approaches for autonomous object detection in video sequences
  10th Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)
  IEEE ResearchGate

• Olga Isupova, Danil Kuzin, Lyudmila Mihaylova, Garik Markarian, and Francois Septier
  An expectation maximisation algorithm for behaviour analysis in video
  18th International Conference on Information Fusion (Fusion)
  IEEE ResearchGate YouTube

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova
  Abnormal behaviour detection in video using topic modeling
  University of Sheffield Engineering Symposium
  WhiteRose

2012

• Olga Isupova
  Matching a hierarchical topic model with external subject authorities
  International Conference of Students and Young Scientists “Lomonosov-2012”