| Automatic detection of Ionospheric Alfvén Resonances in magnetic spectrograms using U-net P Marangio, V Christodoulou, R Filgueira, HF Rogers, CD Beggan Computers & Geosciences 145, 104598, 2020 | 11 | 2020 |
| A tool for Swarm satellite data analysis and anomaly detection V Christodoulou, Y Bi, G Wilkie PloS one 14 (4), e0212098, 2019 | 11 | 2019 |
| A combination of CUSUM-EWMA for Anomaly Detection in time series data V Christodoulou, Y Bi 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 8 | 2015 |
| A fuzzy shape-based anomaly detection and its application to electromagnetic data V Christodoulou, Y Bi, G Wilkie IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 7 | 2018 |
| A fuzzy inspired approach to seismic anomaly detection V Christodoulou, Y Bi, G Zhao Knowledge Science, Engineering and Management: 8th International Conference …, 2015 | 7 | 2015 |
| IoT-Hub: New IoT Data-Platform for Virtual Research Environments. R Filgueira, RF da Silva, E Deelman, V Christodoulou, A Krause IWSG, 2018 | 4 | 2018 |
| Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity? A Hall, M Gillespie, P Everett, V Christodoulou, J Walsh Quarterly Journal of Engineering Geology and Hydrogeology 55 (1), qjegh2020-183, 2022 | 2 | 2022 |
| PyVOLCANS: A Python package to flexibly explore similarities and differences between volcanic systems P Tierz Lopez, V Christodoulou, JA Stevenson, S Loughlin Journal of Open Source Software 6 (68), 2021 | 2 | 2021 |
| Derivation of lithofacies from geophysical logs: a review of methods from manual picking to machine learning AJ Newell, MA Woods, RL Graham, V Christodoulou British Geological Survey, 2021 | 2 | 2021 |
| Seismic Anomaly Detection Using Symbolic Representation Methods V Christodoulou, Y Bi, G Wilkie, G Zhao Dragon 3 symposium, 2016 | 2 | 2016 |
| Automatic Anomaly Detection for Swarm Observations Y Bi, V Christodoulou, FG Wilkie, G Zhao, P Nicholl, M Huang, B Han, ... Journal of Geodesy and Geoinformation Science 4 (1), 94-108, 2021 | 1 | 2021 |
| Automatic classification of Aurora-related tweets using machine learning methods V Christodoulou, R Filgueira, E Bee, E MacDonald, B Kosar Proceedings of the 2019 2nd International Conference on Geoinformatics and …, 2019 | 1 | 2019 |
| PyVOLCANS: A Python package to flexibly explore similarities and differences between volcanic systems P Tierz, V Christodoulou, JA Stevenson, SC Loughlin Journal of Open Source Software 7 (70), 19, 2022 | | 2022 |
| Development and application of collective anomaly detection methods to electromagnetic satellite data V Christodoulou Ulster University, 2020 | | 2020 |
| Digital Rock Physics Analysis of Core Integrity using Deep Neural Networks and Computer Vision Z bassam Alzayer, M Fellgett, V Christodoulou, J Walsh, A Kingdon, ... AGU Fall Meeting 2019, 2019 | | 2019 |
| Digital Rock Physics Analysis of Core Integrity using Deep Neural Networks and Computer Vision S Hier-Majumder, ZB Alzayer, M Fellgett, V Christodoulou, C Williams, ... AGU Fall Meeting Abstracts 2019, MR23C-0124, 2019 | | 2019 |
| Ground motion and stratum thickness comparison in Tower Hamlets, London A Novellino, R Terrington, V Christodoulou, H Smith, L Bateson British Geological Survey, 2019 | | 2019 |
| IoT-Hub: A new cloud data-platform for monitoring and analyzing IoT R Filgueira, R Ferreira da Silva, E Deelman, V Christodoulou, J Mojsiejuk, ... AGU Fall Meeting Abstracts 2018, IN51B-0586, 2018 | | 2018 |
| A Tool of Data Analysis and Anomaly Detection for SWARM Satellite Electromagnetic Data V Christodoulou, Y Bi, FG Wilkie, G Zhao, B Han The 2018 Dragon 4 Cooperation Symposium, 2018 | | 2018 |
| IoT-Hub: New IoT Data-Platform for Virtual Research Environments RF Vicente, RF da Silva, E Deelman, V Christodoulou, A Krause IWSG 2018-10th International Workshop on Science Gateways, 2018 | | 2018 |
