| Inceptiontime: Finding alexnet for time series classification H Ismail Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ... Data Mining and Knowledge Discovery 34 (6), 1936-1962, 2020 | 1449 | 2020 |
| Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas C Pelletier, S Valero, J Inglada, N Champion, G Dedieu Remote Sensing of Environment 187, 156-168, 2016 | 625 | 2016 |
| Temporal convolutional neural network for the classification of satellite image time series C Pelletier, GI Webb, F Petitjean Remote Sensing 11 (5), 523, 2019 | 584 | 2019 |
| TS-CHIEF: a scalable and accurate forest algorithm for time series classification A Shifaz, C Pelletier, F Petitjean, GI Webb Data Mining and Knowledge Discovery 34 (3), 742-775, 2020 | 257 | 2020 |
| Effect of training class label noise on classification performances for land cover mapping with satellite image time series C Pelletier, S Valero, J Inglada, N Champion, C Marais Sicre, G Dedieu Remote Sensing 9 (2), 173, 2017 | 242 | 2017 |
| Proximity Forest: An effective and scalable distance-based classifier for time series B Lucas, A Shifaz, C Pelletier, L O’Neill, N Zaidi, B Goethals, F Petitjean, ... Data Mining and Knowledge Discovery, 1-29, 2019 | 224 | 2019 |
| BreizhCrops: A Time Series Dataset for Crop Type Mapping M Rußwurm, C Pelletier, M Zollner, S Lefèvre, M Körner The International Archive of Photogrammetry, Remote Sensing, and Spatial …, 2020 | 144 | 2020 |
| Soil texture estimation using radar and optical data from Sentinel-1 and Sentinel-2 S Bousbih, M Zribi, C Pelletier, A Gorrab, Z Lili-Chabaane, N Baghdadi, ... Remote Sensing 11 (13), 1520, 2019 | 126 | 2019 |
| Detection of irrigated crops from Sentinel-1 and Sentinel-2 data to estimate seasonal groundwater use in South India S Ferrant, A Selles, M Le Page, PA Herrault, C Pelletier, A Al-Bitar, ... Remote Sensing 9 (11), 1119, 2017 | 114 | 2017 |
| Crop type mapping from optical and radar time series using attention-based deep learning S Ofori-Ampofo, C Pelletier, S Lang Remote Sensing 13 (22), 4668, 2021 | 67 | 2021 |
| Elastic similarity and distance measures for multivariate time series A Shifaz, C Pelletier, F Petitjean, GI Webb Knowledge and Information Systems 65 (6), 2665-2698, 2023 | 41 | 2023 |
| TimeMatch: Unsupervised cross-region adaptation by temporal shift estimation J Nyborg, C Pelletier, S Lefèvre, I Assent ISPRS Journal of Photogrammetry and Remote Sensing 188, 301-313, 2022 | 41 | 2022 |
| Deep learning for the classification of Sentinel-2 image time series C Pelletier, GI Webb, F Petitjean IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 40 | 2019 |
| A bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping B Lucas, C Pelletier, D Schmidt, GI Webb, F Petitjean Machine Learning 112 (6), 1941-1973, 2023 | 36 | 2023 |
| Generalized classification of satellite image time series with thermal positional encoding J Nyborg, C Pelletier, I Assent Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series B Lucas, C Pelletier, D Schmidt, GI Webb, F Petitjean IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 21 | 2020 |
| Deep learning for satellite image time-series analysis: A review L Miller, C Pelletier, GI Webb IEEE Geoscience and Remote Sensing Magazine, 2024 | 18 | 2024 |
| Domain adaptation for semantic segmentation of historical panchromatic orthomosaics in Central Africa N Mboga, S D’aronco, T Grippa, C Pelletier, S Georganos, S Vanhuysse, ... ISPRS International Journal of Geo-Information 10 (8), 523, 2021 | 15 | 2021 |
| Patch-based reconstruction of high resolution satellite image time series with missing values using spatial, spectral and temporal similarities S Valero, C Pelletier, M Bertolino 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 13 | 2016 |
| What can 100,000 books tell us about the international public library e-lending landscape? R Giblin, J Kennedy, C Pelletier, J Thomas, K Weatherall, F Petitjean University of Borås, 2019 | 12 | 2019 |
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash UniversityVerifierad e-postadress på monash.edu