[
[1] R. Salakhutdinov and G. Hinton, Semantic hashing, International Journal of Approximate Reasoning, vol. 50, no. 7, pp. 969–978, 2009.10.1016/j.ijar.2008.11.006
]Search in Google Scholar
[
[2] The SunPy Community et al., The sunpy project: Open source development and status of the version 1.0 core package, The Astrophysical Journal, vol. 890, pp. 1–12, 2020. [Online]. Available: https://iopscience.iop.org/article/10.3847/1538-4357/ab4f7a10.3847/1538-4357/ab4f7a
]Search in Google Scholar
[
[3] Stuart Mumford, Nabil Freij et al., Sunpy: A python package for solar physics, Journal of Open Source Software, vol. 5, no. 46, p. 1832, 2020. [Online]. Available: https://doi.org/10.21105/joss.01832
]Search in Google Scholar
[
[4] C. Brunner, A. K˝o, and S. Fodor, An autoencoder-enhanced stacking neural network model for increasing the performance of intrusion detection, Journal of Artificial Intelligence and Soft Computing Research, vol. 12, no. 2, pp. 149–163, 2022.10.2478/jaiscr-2022-0010
]Search in Google Scholar
[
[5] R. Grycuk, T. Galkowski, R. Scherer, and L. Rutkowski, A novel method for solar image retrieval based on the parzen kernel estimate of the function derivative and convolutional autoencoder, in 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022, pp. 1–7.10.1109/IJCNN55064.2022.9892753
]Search in Google Scholar
[
[6] P. Najgebauer, R. Scherer, and L. Rutkowski, Fully convolutional network for removing dct artefacts from images, in 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020, pp. 1–8.10.1109/IJCNN48605.2020.9207249
]Search in Google Scholar
[
[7] M. Buckland and F. Gey, The relationship between recall and precision, Journal of the American society for information science, vol. 45, no. 1, p. 12, 1994.10.1002/(SICI)1097-4571(199401)45:1<12::AID-ASI2>3.0.CO;2-L
]Search in Google Scholar
[
[8] K. M. Ting, Precision and recall, in Encyclopedia of machine learning. Springer, 2011, pp. 781–781.10.1007/978-0-387-30164-8_652
]Search in Google Scholar
[
[9] J. M. Banda and R. A. Angryk, Regional content-based image retrieval for solar images: Traditional versus modern methods, Astronomy and computing, vol. 13, pp. 108–116, 2015.10.1016/j.ascom.2015.09.005
]Search in Google Scholar
[
[10] J. M. Banda and R. A. Angryk, Large-scale region-based multimedia retrieval for solar images, in International Conference on Artificial Intelligence and Soft Computing. Springer, 2014, pp. 649–661.10.1007/978-3-319-07173-2_55
]Search in Google Scholar
[
[11] R. Grycuk and R. Scherer, Grid-based concise hash for solar images, in International Conference on Computational Science. Springer, 2021, pp. 242–254.10.1007/978-3-030-77967-2_20
]Search in Google Scholar