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Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations.

, , , , , , , , , , и . CoRR, (2023)

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Characterizing K2 Candidate Planetary Systems Orbiting Low-Mass Stars II: Planetary Systems Observed During Campaigns 1-7, , , , , , , , , и 7 other автор(ы). (2017)cite arxiv:1703.07416Comment: 26 pages, 13 figures, 4, tables. Submitted to ApJ. The associated follow-up observations and vetting plots will be posted to the ExoFOP-K2 website (https://exofop.ipac.caltech.edu/k2/).Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations., , , , , , , , , и 1 other автор(ы). CoRR, (2023)A Possible Alignment Between the Orbits of Planetary Systems and their Visual Binary Companions, , , , , , , , , и 104 other автор(ы). (2022)cite arxiv:2202.00042Comment: 30 pages, 19 figures, 2 csv files included in Arxiv source; accepted for publication in AJ.Three statistically validated K2 transiting warm Jupiter exoplanets confirmed as low-mass stars, , , , , , , , , и 4 other автор(ы). (2017)cite arxiv:1708.08455Comment: Posted on the arXiv for comments from the community. Current version includes corrections following first referee report. To be resubmitted to ApJ Letters.Forcing the Network to Use Human Explanations in Its Inference Process., и . NAFIPS, том 751 из Lecture Notes in Networks and Systems, стр. 127-140. Springer, (2023)Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks., , , , , , , , , и 16 other автор(ы). CoRR, (2020)