A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping - Archive ouverte HAL
Article Dans Une Revue Machine Learning Année : 2023

A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping

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hal-03372687 , version 1 (11-10-2021)

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Benjamin Lucas, Charlotte Pelletier, Daniel Schmidt, Geoffrey Webb, François Petitjean. A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping. Machine Learning, 2023, 112 (6), pp.1941-1973. ⟨10.1007/s10994-020-05942-z⟩. ⟨hal-03372687⟩
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