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- W4387646128 abstract "Over the last 2 decades, machine learning algorithms have become increasingly popular in Astronomy due to the data provided by several sky-surveys. To explore this large amount of data, it is necessary to apply automatic techniques. Decision tree algorithm is used to develop selection criteria for symbiotic stars, planetary nebulae, Be and Mira candidates. Despite the small samples, our models are characterized by high recall and precision of 0.795/0.949, 0.963/0.908, 0.972/0.934, and 0.850/0.961, after oversampling the minority classes." @default.
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- W4387646128 date "2023-01-01" @default.
- W4387646128 modified "2023-10-15" @default.
- W4387646128 title "Machine Learning for H$$alpha $$ Emitters Classification" @default.
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- W4387646128 doi "https://doi.org/10.1007/978-3-031-34167-0_1" @default.
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