Open Access
Issue |
A&A
Volume 667, November 2022
|
|
---|---|---|
Article Number | A132 | |
Number of page(s) | 10 | |
Section | The Sun and the Heliosphere | |
DOI | https://doi.org/10.1051/0004-6361/202244206 | |
Published online | 17 November 2022 |
- Arge, C. N., Henney, C. J., Hernandez, I. G., et al. 2013, Sol. Wind, 13, 11 [Google Scholar]
- Bahdanau, D., Cho, K., & Bengio, Y. 2016, arXiv e-prints [arXiv:1409.0473v7] [Google Scholar]
- Boulila, W., Ghandorh, H., Khan, M. A., Ahmed, F., & Ahmad, J. 2021, Ecol. Inf., 64, 101325 [CrossRef] [Google Scholar]
- Braun, D. C., & Lindsey, C. 2001, ApJ, 560, L189 [NASA ADS] [CrossRef] [Google Scholar]
- Braun, D. C., Duvall, T. L., Jr., & Labonte, B. J. 1987, ApJ, 319, L27 [NASA ADS] [CrossRef] [Google Scholar]
- Braun, D., Lindsey, C., Fan, Y., & Jefferies, S. 1992, ApJ, 392, 739 [NASA ADS] [CrossRef] [Google Scholar]
- Broock, E. G., Felipe, T., & Asensio Ramos, A. 2021, A&A, 652, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Christensen-Dalsgaard, J. 2002, Rev. Mod. Phys., 74, 1073 [Google Scholar]
- Duvall, T. L., Jr., & Kosovichev, A. G. 2001, in Recent Insights into the Physics of the Sun and Heliosphere: Highlights from SOHO and Other Space Missions, eds. P. Brekke, B. Fleck, & J. B. Gurman, IAU Symp., 203, 159 [NASA ADS] [Google Scholar]
- Duvall, T. L., Jr., Jefferies, S. M., Harvey, J. W., & Pomerantz, M. A. 1993, Nature, 362, 430 [Google Scholar]
- Felipe, T., & Asensio Ramos, A. 2019, A&A, 632, A82 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Felipe, T., Braun, D. C., & Birch, A. C. 2017, A&A, 604, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Fillioux, L.https://gist.github.com/leofillioux/22f021a8606d67bf6a3481820654601a (accessed: 2021-11-30) [Google Scholar]
- Fu, J., Liu, J., Tian, H., et al. 2019, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3141 [Google Scholar]
- Gizon, L., & Birch, A. C. 2005, Liv. Rev. Sol. Phys., 2, 6 [Google Scholar]
- González Hernández, I., Hill, F., & Lindsey, C. 2007, ApJ, 669, 1382 [CrossRef] [Google Scholar]
- Goodfellow, I., Bengio, Y., & Courville, A. 2016, Deep Learning (Cambridge: MIT Press) [Google Scholar]
- Hanson, A., Pnvr, K., Krishnagopal, S., & Davis, L. 2019, Bidirectional Convolutional LSTM for the Detection of Violence in Videos: Subvolume B, 280 [Google Scholar]
- Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
- Harvey, J. W., Hill, F., Hubbard, R. P., et al. 1996, Science, 272, 1284 [Google Scholar]
- Hill, F. 1988, ApJ, 333, 996 [Google Scholar]
- Hochreiter, S. 1998, Int. J. Uncertain. Fuzziness Knowl. Based Syst., 6, 107 [CrossRef] [Google Scholar]
- Hochreiter, S., & Schmidhuber, J. 1997, Neural Comput., 9, 1735 [CrossRef] [Google Scholar]
- Hu, H., Zhang, Z., Xie, Z., & Lin, S. 2019a, in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 3463 [CrossRef] [Google Scholar]
- Hu, J., Shen, L., Albanie, S., Sun, G., & Wu, E. 2019b, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 7132 [Google Scholar]
- Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
- Ilonidis, S., Zhao, J., & Hartlep, T. 2009, Sol. Phys., 258, 181 [NASA ADS] [CrossRef] [Google Scholar]
- Ioffe, S., & Szegedy, C. in Proceedings of the 32nd International Conference on Machine Learning (ICML-15), eds. D. Blei, & F. Bach, JMLR Workshop and Conference Proceedings, 448 [Google Scholar]
- Kaiser, M. 2004, Adv. Space Res., 36, 1483 [Google Scholar]
- Kingma, D. P., & Ba, J. 2017, arXiv e-prints [arXiv:1412.6980v9] [Google Scholar]
- Koziol, Q., & Robinson, D. HDF5. Computer Software, https://doi.org/10.11578/dc.20180330.1 [Google Scholar]
- Lemen, J. R., Title, A. M., Akin, D. J., et al. 2012, Sol. Phys., 275, 17 [Google Scholar]
- Li, X., Zhong, Z., Wu, J., et al. 2019, in 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 9166 [Google Scholar]
- Liewer, P., Hernandez, I., Hall, J., Thompson, W., & Misrak, A. 2012, Sol. Phys., 281, 3 [NASA ADS] [Google Scholar]
- Liewer, P. C., González Hernández, I., Hall, J. R., Lindsey, C., & Lin, X. 2014, Sol. Phys., 289, 3617 [NASA ADS] [CrossRef] [Google Scholar]
- Liewer, P. C., Qiu, J., & Lindsey, C. 2017, Sol. Phys., 292, 146 [NASA ADS] [CrossRef] [Google Scholar]
- Lindsey, C., & Braun, D. C. 1990, Sol. Phys., 126, 101 [NASA ADS] [CrossRef] [Google Scholar]
- Lindsey, C., & Braun, D. C. 2000a, Sol. Phys., 192, 261 [Google Scholar]
- Lindsey, C., & Braun, D. C. 2000b, Science, 287, 1799 [Google Scholar]
- Lindsey, C., & Braun, D. 2017, Space Weather, 15, 761 [NASA ADS] [CrossRef] [Google Scholar]
- Lindsey, C., Cally, P. S., & Rempel, M. 2010, ApJ, 719, 1144 [NASA ADS] [CrossRef] [Google Scholar]
- Müller, D., St. Cyr, O. C., Zouganelis, I., et al. 2020, A&A, 642, A1 [Google Scholar]
- Nair, V., & Hinton, G. E. 2010, in Proceedings of the 27th International Conference on Machine Learning (ICML-10), 807 [Google Scholar]
- Oktay, O., Schlemper, J., Folgoc, L. L., et al. 2018, arXiv e-prints [arXiv:1804.03999v3] [Google Scholar]
- Paszke, A., Gross, S., Massa, F., et al. 2019, in Advances in Neural Information Processing Systems 32, 8024 [Google Scholar]
- Pesnell, W. D., Thompson, B. J., & Chamberlin, P. C. 2012, Sol. Phys., 275, 3 [Google Scholar]
- Rogozhnikov, A. 2022, in 2022 International Conference on Learning Representations (ICLR), https://openreview.net/forum?id=oapKSVM2bcj [Google Scholar]
- Ronneberger, O., Fischer, P., & Brox, T. 2015, arXiv e-prints [arXiv:1505.04597] [Google Scholar]
- Rumelhart, D. E., Hinton, G. E., & Williams, R. 1986, Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations (MIT Press), 318 [Google Scholar]
- Schou, J., Scherrer, P. H., Bush, R. I., et al. 2012, Sol. Phys., 275, 229 [Google Scholar]
- Schrijver, C. J., & De Rosa, M. L. 2003, Sol. Phys., 212, 165 [Google Scholar]
- Shi, X., Chen, Z., Wang, H., et al. 2015, in Proceedings of the 28th International Conference on Neural Information Processing Systems, eds. C. Cortes, N. Lawrence, D. Lee, M. Sugiyama, & R. Garnett, 802 [Google Scholar]
- Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. 2014, J. Mach. Learn. Res., 15, 1929 [Google Scholar]
- The Sun Py Community, Barnes, W. T., Bobra, M. G., et al. 2020, ApJ, 890, 68 [NASA ADS] [CrossRef] [Google Scholar]
- Vaswani, A., Shazeer, N., Parmar, N., et al. 2017, in NIPS’17: Proceedings of the 31st International Conference on Neural Information Processing Systems, Curran Associates Inc, 6000 [Google Scholar]
- Wuelser, J. P., Lemen, J. R., Tarbell, T. D., et al. 2004, in Telescopes and Instrumentation for Solar Astrophysics, eds. S. Fineschi, & M. S. Gummin, International Society for Optics and Photonics (SPIE), 5171, 111 [NASA ADS] [CrossRef] [Google Scholar]
- Zhao, J. 2007, ApJ, 664, L139 [NASA ADS] [CrossRef] [Google Scholar]
- Zhao, J., Hing, D., Chen, R., & Hess Webber, S. 2019, ApJ, 887, 216 [NASA ADS] [CrossRef] [Google Scholar]
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