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Machine Learning Applied to X-Ray Spectra: Separating Stars in Orion Nebula Cluster from Active Galactic Nuclei in CDFS

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Obscuration properties of mid-IR-selected AGN

G Mountrichas, I Georgantopoulos, A Ruiz and G Kampylis
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A More Efficient Search for H2O Megamaser Galaxies: The Power of X-Ray and Mid-infrared Photometry

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The Astrophysical Journal 892 (1) 18 (2020)
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Estimating photometric redshifts for X-ray sources in the X-ATLAS field using machine-learning techniques

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Astronomy & Astrophysics 608 A39 (2017)
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Searching for luminous absorbed sources in the WISE AGN catalogue

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The MIXR sample: AGN activity versus star formation across the cross-correlation ofWISE, 3XMM, and FIRST/NVSS

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LONG-TERM X-RAY VARIABILITY OF TYPICAL ACTIVE GALACTIC NUCLEI IN THE DISTANT UNIVERSE

G. Yang, W. N. Brandt, B. Luo, Y. Q. Xue, F. E. Bauer, M. Y. Sun, S. Kim, S. Schulze, X. C. Zheng, M. Paolillo, O. Shemmer, T. Liu, D. P. Schneider, C. Vignali, F. Vito and J.-X. Wang
The Astrophysical Journal 831 (2) 145 (2016)
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Infrared identification of hard X-ray sources in the Galaxy

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Measures of the Soft X-ray Excess as an Eigenvector 1 Parameter for Active Galactic Nuclei

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Journal of Astrophysics and Astronomy 36 (4) (2015)
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