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Quad-PolSAR data classification using modified random forest algorithms to map halophytic plants in arid areas
International Journal of Applied Earth Observation and Geoinformation
◽
10.1016/j.jag.2018.06.006
◽
2018
◽
Vol 73
◽
pp. 503-521
◽
Cited By ~ 3
Author(s):
Alim Samat
◽
Paolo Gamba
◽
Sicong Liu
◽
Zelang Miao
◽
Erzhu Li
◽
...
Keyword(s):
Random Forest
◽
Data Classification
◽
Arid Areas
◽
Halophytic Plants
Download Full-text
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2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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2020
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Alex Freitas
Keyword(s):
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Imbalanced Data
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Imbalanced Data Classification
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Random forest for gene selection and microarray data classification
Bioinformation
◽
10.6026/97320630007142
◽
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2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
◽
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pp. 15-25
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The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)
◽
10.1109/rivf.2013.6719882
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◽
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◽
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Extracting Rule RF in Educational Data Classification: From a Random Forest to Interpretable Refined Rules
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