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Research interests
José is particularly interested in spatio-temporal soil modelling and soil spectroscopy from the regional to the global scale, and on how to use advanced machine learning methods to tackle the methodological challenges associated with them. He leads the application of deep learning in soil sciences, developing new modelling frameworks for digital soil mapping and soil spectroscopy.
Besides the interest on improving the accuracy of soil models, he is also interested in the interpretability of these usually considered "black-boxes", privacy-preserving training methods and on how to improve the connectivity/transportability between global and local-scale models.
José is particularly interested in spatio-temporal soil modelling and soil spectroscopy from the regional to the global scale, and on how to use advanced machine learning methods to tackle the methodological challenges associated with them. He leads the application of deep learning in soil sciences, developing new modelling frameworks for digital soil mapping and soil spectroscopy.
Besides the interest on improving the accuracy of soil models, he is also interested in the interpretability of these usually considered "black-boxes", privacy-preserving training methods and on how to improve the connectivity/transportability between global and local-scale models.
研究兴趣
论文共 18 篇作者统计合作学者相似作者
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Computers & Geosciences (2023): 105480-105480
Geoderma (2023): 116449-116449
Anthropocene (2023): 100393-100393
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