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  1. 1
    The S-PLUS 12-band Photometry as a Powerful Tool for Discovery and Classification: Ten Cataclysmic Variables in a Proof-of-concept Study

    The S-PLUS 12-band Photometry as a Powerful Tool for Discovery and Classification: Ten Cataclysmic Variables in a Proof-of-concept Study by Raimundo Lopes de Oliveira, Amanda S. de Araújo, Angela C. Krabbe, Claudia L. Mendes de Oliveira, Koji Mukai, Luis A. Gutiérrez-Soto, Antonio Kanaan, Romualdo Eleutério, Marcelo Borges Fernandes, Fredi Quispe-Huaynasi, William Schoenell, Tiago Ribeiro

    Published 2025-01-01
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  2. 2
    An Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 Data

    An Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 Data by F. Quispe-Huaynasi, F. Roig, N. Holanda, V. Loaiza-Tacuri, Romualdo Eleutério, C. B. Pereira, S. Daflon, V. M. Placco, R. Lopes de Oliveira, F. Sestito, P. K. Humire, M. Borges Fernandes, A. Kanaan, C. Mendes de Oliveira, T. Ribeiro, W. Schoenell

    Published 2025-01-01
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