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Home All issues Volume 666 (October 2022) A&A, 666 (2022) A76 References
Open Access
Issue
A&A
Volume 666, October 2022
Article Number A76
Number of page(s) 14
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202243469
Published online 11 October 2022
  1. Aerts, C. 2021, Rev. Mod. Phys., 93, 015001 [Google Scholar]
  2. Aerts, C., & Kolenberg, K. 2005, A&A, 431, 615 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Aerts, C., Christensen-Dalsgaard, J., & Kurtz, D. W. 2010, Asteroseismology (Springer, Dordrecht) [Google Scholar]
  4. Aerts, C., Mathis, S., & Rogers, T. M. 2019, ARA&A, 57, 35 [Google Scholar]
  5. Armstrong, D. J., Kirk, J., Lam, K. W. F., et al. 2016, MNRAS, 456, 2260 [NASA ADS] [CrossRef] [Google Scholar]
  6. Audenaert, J., Kuszlewicz, J. S., Handberg, R., et al. 2021, AJ, 162, 209 [NASA ADS] [CrossRef] [Google Scholar]
  7. Balona, L. A., Guzik, J. A., Uytterhoeven, K., et al. 2011, MNRAS, 415, 3531 [Google Scholar]
  8. Barbara, N. H., Bedding, T. R., Fulcher, B. D., Murphy, S. J., & Van Reeth, T. 2022, MNRAS, 514, 2793 [NASA ADS] [CrossRef] [Google Scholar]
  9. Battley, M. P., Armstrong, D. J., & Pollacco, D. 2022, MNRAS, 511, 4285 [NASA ADS] [CrossRef] [Google Scholar]
  10. Blomme, J., Debosscher, J., De Ridder, J., et al. 2010, ApJ, 713, L204 [NASA ADS] [CrossRef] [Google Scholar]
  11. Blomme, J., Sarro, L. M., O’Donovan, F.T., et al. 2011, MNRAS, 418, 96 [NASA ADS] [CrossRef] [Google Scholar]
  12. Borucki, W. J., Koch, D., Basri, G., et al. 2010, Science, 327, 977 [Google Scholar]
  13. Bowman, D. M., & Kurtz, D. W. 2018, MNRAS, 476, 3169 [NASA ADS] [CrossRef] [Google Scholar]
  14. Bowman, D. M., Kurtz, D. W., Breger, M., Murphy, S. J., & Holdsworth, D. L. 2016, MNRAS, 460, 1970 [NASA ADS] [CrossRef] [Google Scholar]
  15. Bradley, P. A., Guzik, J. A., Miles, L. F., et al. 2015, AJ, 149, 68 [CrossRef] [Google Scholar]
  16. Breiman, L. 2001, Mach. Learn., 45, 5 [Google Scholar]
  17. Bruce, E. N., Bruce, M. C., & Vennelaganti, S. 2009, J. Clinical Neurophysiol., 26 [Google Scholar]
  18. Campello, R. J. G. B., Moulavi, D., & Sander, J. 2013, in Advances in Knowledge Discovery and Data Mining, eds. J. Pei, V.S. Tseng, L. Cao, H. Motoda, & G. Xu (Berlin, Heidelberg: Springer Berlin Heidelberg), 160 [Google Scholar]
  19. Chaplin, W. J., & Miglio, A. 2013, ARA&A, 51, 353 [Google Scholar]
  20. Costa, M., Goldberger, A. L., & Peng, C. K. 2002, Phys. Rev. Lett., 89, 068102 [NASA ADS] [CrossRef] [Google Scholar]
  21. Costa, M., Goldberger, A. L., & Peng, C. K. 2005, Phys. Rev. E, 71, 021906 [NASA ADS] [CrossRef] [Google Scholar]
  22. Courtiol, J., Perdikis, D., Petkoski, S., et al. 2016, J. Neurosci. Methods, 273, 175 [CrossRef] [Google Scholar]
  23. de Freitas, D. B., Lanza, A. F., da Silva Gomes, F.O., & Das Chagas, M.L. 2021, A&A, 650, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Debosscher, J., Sarro, L. M., Aerts, C., et al. 2007, A&A, 475, 1159 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Debosscher, J., Sarro, L. M., López, M., et al. 2009, A&A, 506, 519 [CrossRef] [EDP Sciences] [Google Scholar]
  26. Debosscher, J., Blomme, J., Aerts, C., & De Ridder, J. 2011, A&A, 529, A89 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Dupret, M. A., Grigahcène, A., Garrido, R., Gabriel, M., & Scuflaire, R. 2004, A&A, 414, L17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Dupret, M. A., Grigahcène, A., Garrido, R., Gabriel, M., & Scuflaire, R. 2005, A&A, 435, 927 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Eisner, N. L., Barragán, O., Lintott, C., et al. 2021, MNRAS, 501, 4669 [NASA ADS] [CrossRef] [Google Scholar]
  30. ESA Special Publication 1997, 1200, The Hipparcos and Tycho Catalogues. Astrometric and Photometric Star Catalogues Derived from the ESA Hipparcos Space Astrometry Mission (Noordwijk, The Netherlands: ESA Publications) [Google Scholar]
  31. Eyer, L., & Mowlavi, N. 2008, J. Phys. Conf. Ser., 118, 012010 [NASA ADS] [CrossRef] [Google Scholar]
  32. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Gaia Collaboration (De Ridder, J., et al.) 2022, A&A, in press https://doi.org/10.1051/0004-6361/202243767 [Google Scholar]
  34. García, R. A., & Ballot, J. 2019, Liv. Rev. Sol. Phys., 16, 4 [Google Scholar]
  35. Gebruers, S., Tkachenko, A., Bowman, D. M., et al. 2022, A&A, 665, A36 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Graham, M. J., Drake, A. J., Djorgovski, S. G., Mahabal, A. A., & Donalek, C. 2013, MNRAS, 434, 2629 [NASA ADS] [CrossRef] [Google Scholar]
  37. Grigahcène, A., Antoci, V., Balona, L., et al. 2010, ApJ, 713, L192 [Google Scholar]
  38. Guzik, J. A., Kaye, A. B., Bradley, P. A., Cox, A. N., & Neuforge, C. 2000, ApJ, 542, L57 [Google Scholar]
  39. Handler, G., & Shobbrook, R. R. 2002, MNRAS, 333, 251 [NASA ADS] [CrossRef] [Google Scholar]
  40. Hon, M., Stello, D., & Yu, J. 2018a, MNRAS, 476, 3233 [NASA ADS] [CrossRef] [Google Scholar]
  41. Hon, M., Stello, D., & Zinn, J. C. 2018b, ApJ, 859, 64 [NASA ADS] [CrossRef] [Google Scholar]
  42. Hon, M., Stello, D., García, R. A., et al. 2019, MNRAS, 485, 5616 [NASA ADS] [Google Scholar]
  43. Hon, M., Huber, D., Kuszlewicz, J. S., et al. 2021, ApJ, 919, 131 [NASA ADS] [CrossRef] [Google Scholar]
  44. Johnston, C., Tkachenko, A., Aerts, C., et al. 2019, MNRAS, 482, 1231 [Google Scholar]
  45. Kurtz, D. W., Saio, H., Takata, M., et al. 2014, MNRAS, 444, 102 [Google Scholar]
  46. Kuszlewicz, J. S., Hekker, S., & Bell, K. J. 2020, MNRAS, 497, 4843 [NASA ADS] [CrossRef] [Google Scholar]
  47. Li, G., Van Reeth, T., Bedding, T. R., et al. 2020, MNRAS, 491, 3586 [Google Scholar]
  48. Lomb, N. R. 1976, Ap&SS, 39, 447 [Google Scholar]
  49. Mathur, S., Huber, D., Batalha, N. M., et al. 2017, ApJS, 229, 30 [NASA ADS] [CrossRef] [Google Scholar]
  50. McInnes, L., & Healy, J. 2017, IEEE International Conference on Data Mining Workshops (ICDMW), 33 [CrossRef] [Google Scholar]
  51. McInnes, L., Healy, J., & Melville, J. 2018a, ArXiv e-prints [arXiv: 1802.03426] [Google Scholar]
  52. McInnes, L., Healy, J., Saul, N., & Grossberger, L. 2018b, J. Open Source Softw., 3, 861 [CrossRef] [Google Scholar]
  53. McIntosh, A. R., Vakorin, V., Kovacevic, N., et al. 2014, Cerebral Cortex, 24, 1806 [CrossRef] [Google Scholar]
  54. McNamara, D. H. 2000, ASP Conf. Ser., 210, 373 [NASA ADS] [Google Scholar]
  55. Mizuno, T., Takahashi, T., Cho, R. Y., et al. 2010, Clinical Neurophysiol., 121, 1438 [CrossRef] [Google Scholar]
  56. Modak, S., Chattopadhyay, T., & Chattopadhyay, A. K. 2020, J. Appl. Stat., 47, 376 [CrossRef] [Google Scholar]
  57. Molnar, C. 2019, Interpretable Machine Learning: A guide for making black box models explainable, ed. Lulu.com, https://christophm.github.io/interpretable-ml-book/ [Google Scholar]
  58. Mombarg, J. S. G., Van Reeth, T., Pedersen, M. G., et al. 2019, MNRAS, 485, 3248 [NASA ADS] [CrossRef] [Google Scholar]
  59. Mowlavi, N., Barblan, F., Saesen, S., & Eyer, L. 2013, A&A, 554, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Mowlavi, N., Saesen, S., Semaan, T., et al. 2016, A&A, 595, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Moździerski, D., Pigulski, A., Kopacki, G., Kołaczkowski, Z., & Stęślicki, M. 2014, Acta Astron., 64, 89 [NASA ADS] [Google Scholar]
  62. Mozsdzierski, D., Pigulski, A., Kołaczkowski, Z., et al. 2019, A&A, 632, A95 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Murphy, S. J., Hey, D., Van Reeth, T., & Bedding, T. R. 2019, MNRAS, 485, 2380 [NASA ADS] [CrossRef] [Google Scholar]
  64. Narayan, A., Berger, B., & Cho, H. 2021, Nat. Biotechnol., 39, 765 [CrossRef] [Google Scholar]
  65. Nikulin, V. V., & Brismar, T. 2004, Phys. Rev. Lett., 92, 089803 [NASA ADS] [CrossRef] [Google Scholar]
  66. Paparrizos, J., & Gravano, L. 2015, in Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD ’15 (New York, NY, USA: Association for Computing Machinery), 1855 [CrossRef] [Google Scholar]
  67. Pápics, P.I., Tkachenko, A., Van Reeth, T., et al. 2017, A&A, 598, A74 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Perryman, M. A. C., Lindegren, L., Kovalevsky, J., et al. 1997, A&A, 500, 501 [NASA ADS] [Google Scholar]
  69. Pincus, S. M. 1991, Proc. Natl. Acad. Sci., 88, 2297 [NASA ADS] [CrossRef] [Google Scholar]
  70. Pincus, S. M., & Goldberger, A. L. 1994, Am. J. Physiology-Heart Circulatory Physiol., 266, 8184944 [Google Scholar]
  71. Rauer, H., Catala, C., Aerts, C., et al. 2014, Exp. Astron., 38, 249 [Google Scholar]
  72. Richman, J. S., & Moorman, J. R. 2000, Am. J. Physiology-Heart Circulatory Physiol., 278, 10843903 [Google Scholar]
  73. Ricker, G. R., Winn, J. N., Vanderspek, R., et al. 2015, J. Astron. Teles. Instrum. Syst., 1, 014003 [Google Scholar]
  74. Saesen, S., Carrier, F., Pigulski, A., et al. 2010, A&A, 515, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  75. Saesen, S., Briquet, M., Aerts, C., Miglio, A., & Carrier, F. 2013, AJ, 146, 102 [NASA ADS] [CrossRef] [Google Scholar]
  76. Sánchez Almeida, J., Trujillo, I., & Plastino, A. R. 2020, A&A, 642, L14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Sarro, L. M., Debosscher, J., Aerts, C., & López, M. 2009, A&A, 506, 535 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Scargle, J. D. 1982, ApJ, 263, 835 [Google Scholar]
  79. Shannon, C. E. 1948, Bell Syst. Tech. J., 27, 623 [CrossRef] [Google Scholar]
  80. Starck, J. L., Murtagh, F., Querre, P., & Bonnarel, F. 2001, A&A, 368, 730 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Szewczuk, W., Walczak, P., & Daszyńska-Daszkiewicz, J. 2021, MNRAS, 503, 5894 [NASA ADS] [CrossRef] [Google Scholar]
  82. Triana, S. A., Moravveji, E., Pápics, P. I., et al. 2015, ApJ, 810, 16 [Google Scholar]
  83. Uytterhoeven, K., Moya, A., Grigahcène, A., et al. 2011, A&A, 534, A125 [CrossRef] [EDP Sciences] [Google Scholar]
  84. Valencia, J. F., Porta, A., Vallverdu, M., et al. 2009, IEEE Trans. Biomedical Eng., 56, 2202 [CrossRef] [Google Scholar]
  85. Valenzuela, L., & Pichara, K. 2018, MNRAS, 474, 3259 [NASA ADS] [CrossRef] [Google Scholar]
  86. Van Craenendonck, T., Meert, W., Dumančić, S., & Blockeel, H. 2018, in Lecture Notes in Computer Science, Discovery Science (Cham: Springer International Publishing), 11198, 179 [Google Scholar]
  87. van der Maaten, L., & Hinton, G. 2008, J. Mach. Learn. Res., 9, 2579 [Google Scholar]
  88. Van Reeth, T., Tkachenko, A., Aerts, C., et al. 2015a, A&A, 574, A17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  89. Van Reeth, T., Tkachenko, A., Aerts, C., et al. 2015b, ApJS, 218, 27 [Google Scholar]

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