Open Access
Issue |
A&A
Volume 671, March 2023
|
|
---|---|---|
Article Number | A73 | |
Number of page(s) | 22 | |
Section | The Sun and the Heliosphere | |
DOI | https://doi.org/10.1051/0004-6361/202244835 | |
Published online | 08 March 2023 |
- Abadi, M., Agarwal, A., Barham, P., et al. 2015, ArXiv e-prints [arXiv:1603.04467] [Google Scholar]
- Angryk, R. A., Martens, P. C., Aydin, B., et al. 2020, Sci. Data, 7, 227 [NASA ADS] [CrossRef] [Google Scholar]
- Aulanier, G., Démoulin, P., Schrijver, C. J., et al. 2013, A&A, 549, A66 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., et al. 2019, Information Fusion, accepted [arXiv:1910.10045] [Google Scholar]
- Bloomfield, D. S., Higgins, P. A., McAteer, R. T. J., & Gallagher, P. T. 2012, ApJ, 747, L41 [CrossRef] [Google Scholar]
- Bobra, M. G., & Couvidat, S. 2015, ApJ, 798, 135 [Google Scholar]
- Boteler, D. 2006, Adv. Space Res., 38, 159 [NASA ADS] [CrossRef] [Google Scholar]
- Carmichael, H. 1964, A Process for Flares ed. W. N. Hess, 50, 451 [NASA ADS] [Google Scholar]
- Cheng, C.-C., Tandberg-Hanssen, E., & Orwig, L. E. 1984, ApJ, 278, 853 [NASA ADS] [CrossRef] [Google Scholar]
- de la Cruz Rodríguez, J., Leenaarts, J., Danilovic, S., & Uitenbroek, H. 2019, A&A, 623, A74 [Google Scholar]
- De Pontieu, B., Title, A. M., Lemen, J. R., et al. 2014, Sol. Phys., 289, 2733 [Google Scholar]
- Deshmukh, V., Berger, T. E., Bradley, E., & Meiss, J. D. 2020, J. Space Weather Space Clim., 10, 13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Deshmukh, V., Flyer, N., van der Sande, K., & Berger, T. 2022, ApJS, 260, 9 [NASA ADS] [CrossRef] [Google Scholar]
- Dosovitskiy, A., & Brox, T. 2016, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4829 [Google Scholar]
- Fletcher, L., Dennis, B. R., Hudson, H. S., et al. 2011, Space Sci. Rev., 159, 19 [Google Scholar]
- Florios, K., Kontogiannis, I., Park, S.-H., et al. 2018, Sol. Phys., 293, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Gabriel, E., Janizek, J. D., Pascal, S., Scott, L., & Su-In, L. 2021, Nat. Mach. Intell., 620 [Google Scholar]
- Goodfellow, I. J., Bengio, Y., & Courville, A. 2016, Deep Learning (Cambridge, MA, USA: MIT Press) [Google Scholar]
- Harra, L. K., Matthews, S. A., & Culhane, J. L. 2001, ApJ, 549, L245 [NASA ADS] [CrossRef] [Google Scholar]
- Hirayama, T. 1974, Sol. Phys., 34, 323 [Google Scholar]
- Hoeksema, J. T., Liu, Y., Hayashi, K., et al. 2014, Sol. Phys., 289, 3483 [Google Scholar]
- Hubel, D. H., & Wiesel, T. N. 1968, J. Physiol., 195, 215 [CrossRef] [Google Scholar]
- Huwyler, C. 2018, IRISreader, https://github.com/i4Ds/IRISreader [Google Scholar]
- Huwyler, C., & Melchior, M. 2022, Astron. Comput., 41, 100668 [NASA ADS] [CrossRef] [Google Scholar]
- Izmailov, P., Podoprikhin, D., Garipov, T., Vetrov, D., & Wilson, A. G. 2018, ArXiv e-prints [arXiv:1803.05407] [Google Scholar]
- Jonas, E., Bobra, M. G., Shankar, V., Hoeksema, J. T., & Recht, B. 2018, Sol. Phys., 293, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Kleint, L., Battaglia, M., Reardon, K., et al. 2015, ApJ, 806, 9 [Google Scholar]
- Kopp, R. A., & Pneuman, G. W. 1976, Sol. Phys., 50, 85 [Google Scholar]
- LeCun, Y., & Bengio, Y. 1995, The Handbook of Brain Theoryand Neural Networks, ed. M. A. Arbib [Google Scholar]
- Leenaarts, J., Pereira, T. M. D., Carlsson, M., Uitenbroek, H., & De Pontieu, B. 2013, ApJ, 772, 89 [NASA ADS] [CrossRef] [Google Scholar]
- Lemen, J. R., Title, A. M., Akin, D. J., et al. 2012, Sol. Phys., 275, 17 [Google Scholar]
- Liu, H., Liu, C., Wang, J. T. L., & Wang, H. 2019, ApJ, 877, 121 [NASA ADS] [CrossRef] [Google Scholar]
- Low, B. C. 1982, Sol. Phys., 77, 43 [NASA ADS] [CrossRef] [Google Scholar]
- Machado, M. E., Xiao, Y. C., Wu, S. T., Prokakis, T., & Dialetis, D. 1988, ApJ, 326, 451 [NASA ADS] [CrossRef] [Google Scholar]
- Mahendran, A., & Vedaldi, A. 2015, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 5188 [Google Scholar]
- Nishizuka, N., Sugiura, K., Kubo, Y., et al. 2017, ApJ, 835, 156 [NASA ADS] [CrossRef] [Google Scholar]
- Panos, B., & Kleint, L. 2020, ApJ, 891, 17 [NASA ADS] [CrossRef] [Google Scholar]
- Panos, B., Kleint, L., & Voloshynovskiy, S. 2021, ApJ, 912, 121 [NASA ADS] [CrossRef] [Google Scholar]
- Paszke, A., Gross, S., Massa, F., et al. 2019, in Advances in Neural Information Processing Systems 32, eds. H. Wallach, H. Larochelle, A. Beygelzimer, et al. (Curran Associates, Inc.), 8026 [Google Scholar]
- Pontieu, B. D., Martínez-Sykora, J., Testa, P., et al. 2019, ApJ, 888, 3 [Google Scholar]
- Rieger, L., Singh, C., Murdoch, W. J., & Yu, B. 2019, ArXiv e-prints [arXiv:1909.13584] [Google Scholar]
- Rosenblatt, F. 1958, Psychol. Rev., 65, 386 [CrossRef] [Google Scholar]
- Rouillard, A. P., Plotnikov, I., Pinto, R. F., et al. 2016, ApJ, 833, 45 [NASA ADS] [CrossRef] [Google Scholar]
- Saad, D. 1999, On-Line Learning in Neural Networks, Publications of the Newton Institute (Cambridge University Press) [CrossRef] [Google Scholar]
- Scherrer, P. H., Schou, J., Bush, R. I., et al. 2012, Sol. Phys., 275, 207 [Google Scholar]
- Schrijver, C. J., Dobbins, R., Murtagh, W., & Petrinec, S. M. 2014, Space Weather, 12, 487 [NASA ADS] [CrossRef] [Google Scholar]
- Selvaraju, R. R., Cogswell, M., Das, A., et al. 2017, in Proceedings of the IEEE International Conference on Computer Vision, 618 [Google Scholar]
- Shapley, L. S. 1951, Notes on the N-Person Game& mdash; II: The Value of an N-Person Game (Santa Monica, CA: RAND Corporation) [Google Scholar]
- Smilkov, D., Thorat, N., Kim, B., Viégas, F., & Wattenberg, M. 2017, ArXiv e-prints [arXiv:1706.03825] [Google Scholar]
- Soós, S., Korsós, M. B., Morgan, H., & Erdélyi, R. 2022, ApJ, 925, 129 [CrossRef] [Google Scholar]
- Sturrock, P. A. 1966, Nature, 211, 695 [Google Scholar]
- Vidyasagar, M. 2003, in Learning and Generalisation With Applications to Neural Networks, 2nd edn. (London: Springer, London) [CrossRef] [Google Scholar]
- Wang, Z., Yan, W., & Oates, T. 2016, ArXiv e-prints [arXiv:1611.06455] [Google Scholar]
- Woodcock, F. 1976, Month. Weather Rev., 104, 1209 [NASA ADS] [CrossRef] [Google Scholar]
- Woods, M. M., Dalda, A. S., & Pontieu, B. D. 2021, ApJ, 922, 137 [NASA ADS] [CrossRef] [Google Scholar]
- Yang, S. 2019, Proc. Int. Astron. Union, 15, 392 [CrossRef] [Google Scholar]
- Yi, K., Moon, Y.-J., Lim, D., Park, E., & Lee, H. 2021, ApJ, 910, 8 [NASA ADS] [CrossRef] [Google Scholar]
- Zeiler, M. D., & Fergus, R. 2014, European Conference on Computer Vision (Springer), 818 [Google Scholar]
- Zhou, B., Khosla,, A., Lapedriza, A., Oliva, A., & Torralba, A. 2014, ArXiv e-prints [arXiv:1412.6856] [Google Scholar]
- Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., & Torralba, A. 2015, ArXiv e-prints [arXiv:1512.04150] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.