| Inceptiontime: Finding alexnet for time series classification HI Fawaz, B Lucas, G Forestier, C Pelletier, DF Schmidt, J Weber, ... Data Mining and Knowledge Discovery 34 (6), 1936-1962, 2020 | 1219 | 2020 |
| 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 33 (3), 607-635, 2019 | 205 | 2019 |
| The united states covid-19 forecast hub dataset EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ... Scientific data 9 (1), 462, 2022 | 99 | 2022 |
| 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 | 35 | 2023 |
| A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA B Lucas, B Vahedi, M Karimzadeh International Journal of Data Science and Analytics 15 (3), 247-266, 2023 | 35 | 2023 |
| 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 | 19 | 2020 |
| Exploring data quantity requirements for domain adaptation in the classification of satellite image time series B Lucas, C Pelletier, J Inglada, D Schmidt, GI Webb, F Petitjean 2019 10th International Workshop on the Analysis of Multitemporal Remote …, 2019 | 5 | 2019 |
| Exploring the feasibility of targeted chronic hepatitis B screening in the emergency department: A pilot study C Brock, Y Yi, T Papaluca, B Lucas, PW Angus, D Taylor, C Leung Emergency Medicine Australasia 30 (6), 864-866, 2018 | 5 | 2018 |
| Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts B Vahedi, B Lucas, F Banaei-Kashani, AP Barrett, WN Meier, SJ Khalsa, ... arXiv preprint arXiv:2406.03645, 2024 | | 2024 |
| An analysis of the NCAA college football playoff team selections using an Elo ratings model B Lucas arXiv preprint arXiv:2403.03862, 2024 | | 2024 |
| Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help M Karimzadeh, T Ngo, B Lucas, H Zoraghein Journal of Urban Health 100 (1), 7-10, 2023 | | 2023 |
| Semantic Segmentation of Sea Ice Using Multi-scale Spatial Context B Vahedi, R Pires de Lima, B Lucas, M Karimzadeh AGU Fall Meeting Abstracts 2022, C44A-04, 2022 | | 2022 |
| Sea Ice Type Classification using Deep Convolutional Networks and Partial Label Learning B Vahedi, B Lucas, F Banaei-Kashani, A Barrett, W Meier, M Karimzadeh AGU Fall Meeting Abstracts 2022, 52, 2022 | | 2022 |
| A Comparison Of Classic Deep Learning Architectures For Sea Ice Classification From SAR B Vahedi, B Lucas, M Karimzadeh, SJ Khalsa, W Meier, A Barrett, ... AGU Fall Meeting Abstracts 2021, IN31A-05, 2021 | | 2021 |
| Sea Ice Type Classification from Sentinel-1 SAR Imagery Using Deep Neural Networks B Vahedi, B Lucas, SJ Khalsa, W Meier, A Barrett, T Lie, ... AGU Fall Meeting Abstracts 2021, C35H-0967, 2021 | | 2021 |
| Machine Learning Technologies for Enabling Earth Observation (PhD Thesis) B Lucas Monash University, 2021 | | 2021 |
| Quelling the silent epidemic of hepatitis B and liver cancer: a novel method of screening at risk communities in the emergency department C Brock, Y Yi, T Papaluca, B Lucas, K Marion, PW Angus, D Taylor, ... JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY 31, 67-67, 2016 | | 2016 |
Charlotte PelletierUniv. Bretagne SudVerified email at univ-ubs.fr
