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Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

G. Allen, I. Andreoni, E. Bachelet, G. Berriman, F. Bianco, R. Biswas, M. Kind, K. Chard, M. Cho, P. Cowperthwaite, Z. Etienne, D. George, T. Gibbs, M. Graham, W. Gropp, A. Gupta, R. Haas, E. Huerta, E. Jennings, D. Katz, A. Khan, V. Kindratenko, W. Kramer, X. Liu, A. Mahabal, K. McHenry, J. Miller, M. Neubauer, S. Oberlin, A. Reinefeld, S. Rosofsky, M. Ruiz, A. Saxton, B. Schutz, A. Schwing, E. Seidel, S. Shapiro, H. Shen, Y. Shen, B. Miksztai-Réthey, L. Sun, J. Towns, A. Tsokaros, W. Wei, J. Wells, T. Williams, J. Xiong, and Z. Zhao. CoRR, (2019)

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Ashish Shah

Ashish Shrivastava

Ashish Choudhary

Ashish Malik

Ashish Bharadwaj

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AstroStat - A VO tool for statistical analysis.A. Kembhavi, A. Mahabal, T. Kale, S. Jagade, A. Vibhute, P. Garg, K. Vaghmare, S. Navelkar, T. Agrawal, A. Chattopadhyay and 2 other author(s). Astron. Comput., (2015)Immersive and collaborative data visualization using virtual reality platforms.C. Donalek, S. Djorgovski, A. Cioc, A. Wang, J. Zhang, E. Lawler, S. Yeh, A. Mahabal, M. Graham, A. Drake and 3 other author(s). IEEE BigData, page 609-614. IEEE Computer Society, (2014)Deep-learnt classification of light curves.A. Mahabal, K. Sheth, F. Gieseke, A. Pai, S. Djorgovski, A. Drake, and M. Graham. SSCI, page 1-8. IEEE, (2017)Multi-View, Generative, Transfer Learning for Distributed Time Series Classification.S. Bhattacharjee, W. Tolone, A. Mahabal, M. Elshambakey, I. Cho, A. al Raihan Nayeem, J. Yuan, and S. Djorgovski. IEEE BigData, page 5585-5594. IEEE, (2019)FIRST-2MASS Red Quasars: Transitional Objects Emerging from the DustE. Glikman, T. Urrutia, M. Lacy, S. Djorgovski, A. Mahabal, A. Myers, N. Ross, P. Petitjean, J. Ge, D. Schneider and 1 other author(s). (2012)cite arxiv:1207.2175Comment: 21 pages, 17 figures plus a spectral atlas. Accepted for publication in the Astrophysical Journal.Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys.S. Djorgovski, M. Graham, C. Donalek, A. Mahabal, A. Drake, M. Turmon, and T. Fuchs. CoRR, (2016)Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification.S. Bhattacharjee, W. Tolone, M. Elshambakey, I. Cho, A. Mahabal, and S. Djorgovski. IEEE BigData, page 959-966. IEEE, (2018)Detection of quasars in the time domain.M. Graham, S. Djorgovski, D. Stern, A. Drake, and A. Mahabal. Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 231-241. Cambridge University Press, (2016)From Sky to Earth: Data Science Methodology Transfer.A. Mahabal, D. Crichton, S. Djorgovski, E. Law, and J. Hughes. Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 17-26. Cambridge University Press, (2016)From stars to patients: Lessons from space science and astrophysics for health care informatics.S. Djorgovski, A. Mahabal, D. Crichton, and B. Chaudhry. IEEE BigData, page 2957-2959. IEEE Computer Society, (2015)

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Disambiguation of "Mahabal, Ashish"

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Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Please choose a person to relate this publication to

Ashish Shah

Ashish Shrivastava

Ashish Choudhary

Ashish Malik

Ashish Bharadwaj

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mahabal, Ashish"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Please choose a person to relate this publication to

Ashish Shah

Ashish Shrivastava

Ashish Choudhary

Ashish Malik

Ashish Bharadwaj

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.