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Star-forming blue ETGs in two newly discovered galaxy overdensities in the HUDF at z=1.84 and 1.9: unveiling the progenitors of passive ETGs in cluster cores, , , , , , , , , and 8 other author(s). (2014)cite arxiv:1403.7524Comment: 26 pages, 10 figures. Submitted to ApJ.Environmental dependence of bulge-dominated galaxy sizes in hierarchical models of galaxy formation. Comparison with the local Universe, , , , , , , , , and 2 other author(s). (2014)cite arxiv:1401.2460Comment: 27 pages, 14 figures, 2 tables. MNRAS, in press.The Physical Conditions of Emission-Line Galaxies at Cosmic Dawn from JWST/NIRSpec Spectroscopy in the SMACS 0723 Early Release Observations, , , , , , , , , and 54 other author(s). (2022)cite arxiv:2207.12388Comment: 13 pages, 6 figures. Submitted to AAS Journals. Comments welcome. Figure 3 set available https://www.dropbox.com/s/go83wpbq1nk5vfe/linefits.ps.Galaxy Morphology in the deep learning era.. CBMI, page 1-6. IEEE, (2021)Morphology and Interaction of Galaxies using Deep Learning., , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 205-208. Cambridge University Press, (2016)Deep learning for studies of galaxy morphology., , , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 191-196. Cambridge University Press, (2016)SHARDS Frontier Fields: Physical properties of a low mass Lyman-alpha emitter at z=5.75, , , , , , , , , and 13 other author(s). (2017)cite arxiv:1710.00826Comment: 14 pages, 8 figures, 4 tables. Accepted for publication in ApJ.CEERS Key Paper I: An Early Look into the First 500 Myr of Galaxy Formation with JWST, , , , , , , , , and 57 other author(s). (2022)cite arxiv:2211.05792Comment: 41 pages, 20 figures, 6 tables, submitted to ApJL. Key results in Figures 13-15, discussed in Sections 7 and 8.CEERS Key Paper III: The Resolved Host Properties of AGN at 3 < z < 5 with JWST, , , , , , , , , and 49 other author(s). (2022)cite arxiv:2208.14480Comment: Submitted to ApJ; 12 Pages, 6 Figures.A Deep Learning Approach for Characterizing Major Galaxy Mergers., , , , , , , , , and 8 other author(s). CoRR, (2021)