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Machine learning based data mining for Milky Way filamentary structures reconstruction., , , , , , , , , and . CoRR, (2015)A shot in the Dark (Ages): a faint galaxy at $z=9.76$ confirmed with JWST, , , , , , , , , and 35 other author(s). (2022)cite arxiv:2210.15639Comment: Submitted to Nature. 34 pages, 4 main figures, 1 supplementary figure, 2 supplementary tables. Comments are welcome.Early results from GLASS-JWST. II: NIRCam extra-galactic imaging and photometric catalog, , , , , , , , , and 19 other author(s). (2022)cite arxiv:2207.11701Comment: Submitted to ApJL; 9 pages, 5 figures, 2 tables.Early Results from GLASS-JWST. I: Confirmation of Lensed $z\geqslant7$ Lyman-Break Galaxies Behind the Abell 2744 Cluster With NIRISS, , , , , , , , , and 22 other author(s). (2022)cite arxiv:2207.11387Comment: Submitted to ApJL. 10 pages, 3 figures, 1 table.Early results from GLASS-JWST. III: Galaxy candidates at z$\sim$9-15, , , , , , , , , and 19 other author(s). (2022)cite arxiv:2207.09436Comment: Submitted to ApJL, 9 pages, 4 figures.The production of ionizing photons in UV-faint z~3-7 galaxies, , , , , , , , , and 13 other author(s). (2022)cite arxiv:2211.12548Comment: 10 pages, 7 figures, submitted to A&A.C3: A Command-line Catalogue Cross-matching tool for modern astrophysical survey data., , , , , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 327-332. Cambridge University Press, (2016)Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction., , , , , , , , , and . Advances in Neural Networks, volume 54 of Smart Innovation, Systems and Technologies, Springer, (2016)