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21st Century Statistical and Computational Challenges in Astrophysics

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Multiview Symbolic Regression., , , , , , , , и . GECCO, ACM, (2024)Realization of Different Techniques for Anomaly Detection in Astronomical Databases., , , , , , , , и . DAMDID/RCDL (Selected Papers), том 1223 из Communications in Computer and Information Science, стр. 97-107. Springer, (2019)Probing cosmic star formation up to z = 9.4 with GRBs, , и . (2011)cite arxiv:1106.1745Comment: Submitted to MNRAS letters.21st Century Statistical and Computational Challenges in Astrophysics, , , и . (2020)cite arxiv:2005.13025Comment: Accepted for publication in volume 8 of Annual Reviews of Statistics and Its Application. 26 pages, 7 figures.Exploring the spectroscopic diversity of type Ia supernovae with Deep Learning and Unsupervised Clustering., , , , , , , , , и 1 other автор(ы). Astroinformatics, том 12 из Proceedings of the International Astronomical Union, стр. 247-252. Cambridge University Press, (2016)Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients., , , , , , , , , и 5 other автор(ы). SSCI, стр. 3115-3124. IEEE, (2020)Use of Machine Learning for Anomaly Detection Problem in Large Astronomical Databases., , , , , , и . DAMDID/RCDL, том 2523 из CEUR Workshop Proceedings, стр. 205-216. CEUR-WS.org, (2019)Photometric redshift estimation: An active learning approach., , , , , и . SSCI, стр. 1-8. IEEE, (2017)The Role of the Human Expert in the Era of Big Data (keynote abstract).. DAMDID/RCDL (Supplementary Proceedings), том 3036 из CEUR Workshop Proceedings, стр. 2. CEUR-WS.org, (2021)Automated supernova Ia classification using adaptive learning techniques., , , , и . SSCI, стр. 1-8. IEEE, (2016)