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The Discovery of a Five-Image Lensed Quasar at z = 3.34 using PanSTARRS and Gaia, , , , , , , , , and 1 other author(s). (2017)cite arxiv:1709.08975Comment: Submitted to MNRAS Letters, 5 pages, 3 figures, 4 tables.Machine Learning and Cosmology., , , , , , , , , and 1 other author(s). CoRR, (2022)Spatial Clustering of Galaxies in Large Datasets, , , , , , and . CoRR, (2002)A multiple tree algorithm for the efficient association of asteroid observations., , , and . KDD, page 138-146. ACM, (2005)Enabling rapid development of parallel tree search applications., , and . CLADE@HPDC, page 1-10. ACM, (2007)AXS: A framework for fast astronomical data processing based on Apache Spark., , , , , , , and . CoRR, (2019)VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning, , , , , , , , , and 49 other author(s). (2016)cite arxiv:1607.01391Comment: 11 pages, 7 figures, 7 tables, MNRAS submitted.Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, , , and . Princeton University Press, (2014)Embracing Uncertainty in Large-Scale Computational Astrophysics., , and . MUD, volume WP09-14 of CTIT Workshop Proceedings Series, page 63-77. Centre for Telematics and Information Technology (CTIT), University of Twente, The Netherlands, (2009)Sampling for Deep Learning Model Diagnosis (Technical Report)., , , and . CoRR, (2020)