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benjamin lucas
benjamin lucas
Verified email at nau.edu
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Year
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
9822020
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
1772019
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
772022
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
272023
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
262023
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
142020
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
52019
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
52018
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
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