| Automatic post-disaster damage mapping using deep-learning techniques for change detection: Case study of the Tohoku tsunami J Sublime, E Kalinicheva Remote Sensing 11 (9), 1123, 2019 | 118 | 2019 |
| Unsupervised change detection analysis in satellite image time series using deep learning combined with graph-based approaches E Kalinicheva, D Ienco, J Sublime, M Trocan IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 54 | 2020 |
| Change detection in satellite images using reconstruction errors of joint autoencoders E Kalinicheva, JÚÚ Sublime, M Trocan International Conference on Artificial Neural Networks, 637-648, 2019 | 20 | 2019 |
| Unsupervised satellite image time series clustering using object-based approaches and 3D convolutional autoencoder E Kalinicheva, J Sublime, M Trocan Remote Sensing 12 (11), 1816, 2020 | 18 | 2020 |
| Analyzing age-related macular degeneration progression in patients with geographic atrophy using joint autoencoders for unsupervised change detection G Dupont, E Kalinicheva, J Sublime, F Rossant, M Pâques Journal of Imaging 6 (7), 57, 2020 | 9 | 2020 |
| Object-based change detection in satellite images combined with neural network autoencoder feature extraction E Kalinicheva, J Sublime, M Trocan 2019 Ninth International Conference on Image Processing Theory, Tools and …, 2019 | 6 | 2019 |
| Predicting vegetation stratum occupancy from airborne LiDAR data with deep learning E Kalinicheva, L Landrieu, C Mallet, N Chehata International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 4 | 2022 |
| Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans E Kalinicheva, L Landrieu, C Mallet, N Chehata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds E Kalinicheva, L Landrieu, C Mallet, N Chehata arXiv preprint arXiv:2112.13583, 2021 | 2 | 2021 |
| Unsupervised satellite image time series analysis using deep learning techniques E Kalinicheva Sorbonne université, 2020 | 2 | 2020 |
| Unsupervised change detection using joint autoencoders for age-related macular degeneration progression G Dupont, E Kalinicheva, J Sublime, F Rossant, M Pâques Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 1 | 2020 |
