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Home All issues A&A, 662 (2022) A36 Article references

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Cited article:

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Identifying type II quasars at intermediate redshift with few-shot learning photometric classification

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PICZL: Image-based photometric redshifts for AGN

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hayate: photometric redshift estimation by hybridizing machine learning with template fitting

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Redshift Prediction with Images for Cosmology Using a Bayesian Convolutional Neural Network with Conformal Predictions

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The regression for the redshifts of galaxies in SDSS DR18

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Inferring Cosmological Parameters on SDSS via Domain-generalized Neural Networks and Light-cone Simulations

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CLAP

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Innovative Reform Strategies of Artistic Practice of College Ethnic Music Education Based on Information Fusion Technology

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Data-driven templates with dictionary learning and sparse representations for photometric redshift estimation

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