( en | de | ru )

 

Disambiguation of "Connolly, Andrew J."

Author of the publication

copydeleteadd this publication to your clipboard
Everything we'd like to do with LSST data, but we don't know (yet) how.

, , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 93-102. Cambridge University Press, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Andrew J Atkins

J Andrew Doole

Andrew J White

Monika Connolly

Michelle Connolly

 

Other publications of authors with the same name

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.A multiple tree algorithm for the efficient association of asteroid observations., , , and . KDD, page 138-146. ACM, (2005)Hierarchical Probabilistic Models for Group Anomaly Detection., , , , and . AISTATS, volume 15 of JMLR Proceedings, page 789-797. JMLR.org, (2011)Everything we'd like to do with LSST data, but we don't know (yet) how., , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 93-102. Cambridge University Press, (2016)Optimizing the computation of n-point correlations on large-scale astronomical data., , , , , , , , and . SC, page 74. IEEE/ACM, (2012)Sampling for Deep Learning Model Diagnosis (Technical Report)., , , and . CoRR, (2020)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)Introduction to astroML: Machine learning for astrophysics., , , and . CIDU, page 47-54. IEEE, (2012)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.Enabling rapid development of parallel tree search applications., , and . CLADE@HPDC, page 1-10. ACM, (2007)