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Using ensemble margin to explore issues of training data imbalance and mislabeling on large area land cover classification.

A. Mellor, S. Boukir, A. Haywood, and S. Jones. ICIP, page 5067-5071. IEEE, (2014)

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Other publications of authors with the same name

A two-pass random forests classification of airborne lidar and image data on urban scenes.L. Guo, N. Chehata, and S. Boukir. ICIP, page 1369-1372. IEEE, (2010)Margin-Based Random Forest for Imbalanced Land Cover Classification.W. Feng, S. Boukir, and W. Huang. IGARSS, page 3085-3088. IEEE, (2019)Margin-based ordered aggregation for ensemble pruning.L. Guo, and S. Boukir. Pattern Recognition Letters, 34 (6): 603-609 (2013)Support Vectors Selection for Supervised Learning Using an Ensemble Approach.L. Guo, S. Boukir, and N. Chehata. ICPR, page 37-40. IEEE Computer Society, (2010)Optimal estimation of 3D structures using visual servoing.F. Chaumette, S. Boukir, P. Bouthemy, and D. Juvin. CVPR, page 347-354. IEEE, (1994)Tracking and MAP reconstruction of line scratches in degraded motion pictures.L. Joyeux, S. Boukir, and B. Besserer. Mach. Vis. Appl., 13 (3): 119-128 (2002)Classification of forest structure using very high resolution Pleiades image texture.B. Beguet, N. Chehata, S. Boukir, and D. Guyon. IGARSS, page 2324-2327. IEEE, (2014)Identifying and Correcting Mislabeled Satellite Image Data by Iterative Ordering of Ensemble Margins.S. Boukir, and W. Feng. IGARSS, page 3093-3096. IEEE, (2019)Film line scratch removal using Kalman filtering and Bayesian restoration.L. Joyeux, S. Boukir, and B. Besserer. WACV, page 8-13. IEEE Computer Society, (2000)Ensemble margin framework for image classification.L. Guo, and S. Boukir. ICIP, page 4231-4235. IEEE, (2014)

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Using ensemble margin to explore issues of training data imbalance and mislabeling on large area land cover classification.

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Disambiguation of "Boukir, Samia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using ensemble margin to explore issues of training data imbalance and mislabeling on large area land cover classification.

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Other publications of authors with the same name

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Using ensemble margin to explore issues of training data imbalance and mislabeling on large area land cover classification.