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Cited article:

The GPU phase folding and deep learning method for detecting exoplanet transits

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Monthly Notices of the Royal Astronomical Society 528 (3) 4053 (2024)
https://doi.org/10.1093/mnras/stae245

Overview of semi-sinusoidal stellar variability with the CoRoT satellite

J. R. De Medeiros, C. E. Ferreira Lopes, I. C. Leão, et al.
Astronomy & Astrophysics 555 A63 (2013)
https://doi.org/10.1051/0004-6361/201219415

DETECTING VARIABILITY IN MASSIVE ASTRONOMICAL TIME-SERIES DATA. II. VARIABLE CANDIDATES IN THE NORTHERN SKY VARIABILITY SURVEY

Min-Su Shin, Hahn Yi, Dae-Won Kim, Seo-Won Chang and Yong-Ik Byun
The Astronomical Journal 143 (3) 65 (2012)
https://doi.org/10.1088/0004-6256/143/3/65

A study of the performance of the transit detection tool DST in space-based surveys

J. Cabrera, Sz. Csizmadia, A. Erikson, H. Rauer and S. Kirste
Astronomy & Astrophysics 548 A44 (2012)
https://doi.org/10.1051/0004-6361/201219337

Potential biases in the detection of planetary systems with large transit timing variations

E. García-Melendo and M. López-Morales
Monthly Notices of the Royal Astronomical Society: Letters 417 (1) L16 (2011)
https://doi.org/10.1111/j.1745-3933.2011.01111.x