Transiting Exoplanet Detection Through 1D Convolutional Neural Networks-Reference-Cited by-同舟云学术

Transiting Exoplanet Detection Through 1D Convolutional Neural Networks

Published:2023 Issue: Volume: Page:51-60
ISSN:2367-3370
Container-title:Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference
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Author:

Iglesias Álvarez Santiago^ORCID,Díez Alonso Enrique^ORCID,Sánchez Rodríguez María Luisa^ORCID,Rodríguez Rodríguez Javier^ORCID,Pérez Fernández Saúl^ORCID,Anangonó Tutasig Ronny Steveen^ORCID,González Gutierrez Carlos^ORCID,Buendía Roca Alejandro^ORCID,Calvo Rolle José Luis^ORCID,de Cos Juez Francisco Javier^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-38616-9_6

Reference21 articles.

1. Albawi, S., Mohammed, T.A., Al-Zawi, S.: Understanding of a convolutional neural network. In: 2017 International Conference on Engineering and Technology (ICET), pp. 1–6 (2017). https://doi.org/10.1109/ICEngTechnol.2017.8308186

2. Bloomfield, D.S., Higgins, P.A., McAteer, R.T.J., Gallagher, P.T.: Toward reliable benchmarking of solar flare forecasting methods. Astrophysical J. Lett. 747(2), L41 (2012). https://doi.org/10.1088/2041-8205/747/2/L41

3. Borucki, W.J., et al.: Kepler planet-detection mission: Introduction and first results. Science 327(5968), 977–980 (2010). https://doi.org/10.1126/science.1185402

4. Bridle, J.: Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters. In: Touretzky, D. (ed.) Advances in Neural Information Processing Systems, vol. 2. Morgan-Kaufmann (1989). https://proceedings.neurips.cc/paper/1989/file/0336dcbab05b9d5ad24f4333c7658a0e-Paper.pdf

5. Chollet, F., et al.: Keras (2015). https://keras.io