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2020 – today
- 2022
[i12]Gabriele Benelli, Thomas Y. Chen, Javier M. Duarte, Matthew Feickert, Matthew J. Graham, Lindsey Gray, Dan Hackett, Philip C. Harris, Shih-Chieh Hsu, Gregor Kasieczka, Elham E Khoda, Matthias Komm, Mia Liu, Mark S. Neubauer, Scarlet Norberg, Alexx Perloff, Marcel Rieger, Claire Savard, Kazuhiro Terao, Savannah Thais, Avik Roy, Jean-Roch Vlimant, Grigorios Chachamis:
Data Science and Machine Learning in Education. CoRR abs/2207.09060 (2022)- [i11]S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Kai Polsterer
, Alberto Krone-Martins:
Applications of AI in Astronomy. CoRR abs/2212.01493 (2022) - 2021
- [c10]Niharika Sravan, Matthew J. Graham, Christoffer Fremling, Michael W. Coughlin:
Autonomous Real-Time Science-Driven Follow-up of Survey Transients. BDA (Astronomy, Science, and Engineering) 2021: 59-72 - [i10]Dmitry A. Duev, Bryce T. Bolin, Matthew J. Graham, Michael S. P. Kelley, Ashish Mahabal, Eric C. Bellm, Michael W. Coughlin, Richard Dekany, George Helou, Shrinivas R. Kulkarni, Frank J. Masci, Thomas A. Prince, Reed Riddle, Maayane T. Soumagnac, Stefan Johann van der Walt:
Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning. CoRR abs/2102.13352 (2021)
2010 – 2019
- 2019
- [i9]Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR abs/1902.00522 (2019) - [i8]Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - 2018
- [j3]Michael Hucka, Matthew J. Graham:
Software search is not a science, even among scientists: A survey of how scientists and engineers find software. J. Syst. Softw. 141: 171-191 (2018) - 2017
- [c9]Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham:
Deep-learnt classification of light curves. SSCI 2017: 1-8 - [i7]Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham:
Deep-Learnt Classification of Light Curves. CoRR abs/1709.06257 (2017) - 2016
- [j2]S. George Djorgovski, Matthew J. Graham, Ciro Donalek, Ashish Mahabal, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs:
Real-time data mining of massive data streams from synoptic sky surveys. Future Gener. Comput. Syst. 59: 95-104 (2016) - [c8]Matthew J. Graham, S. George Djorgovski, Daniel J. Stern, Andrew J. Drake, Ashish Mahabal:
Detection of quasars in the time domain. Astroinformatics 2016: 231-241 - [i6]S. George Djorgovski, Matthew J. Graham, Ciro Donalek, Ashish Mahabal, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs:
Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys. CoRR abs/1601.04385 (2016) - [i5]Michael Hucka, Matthew J. Graham:
Software search is not a science, even among scientists. CoRR abs/1605.02265 (2016) - 2014
- [c7]Ciro Donalek, S. George Djorgovski, Alex Cioc, Anwell Wang, Jerry Zhang, Elizabeth Lawler, Stacy Yeh, Ashish Mahabal, Matthew J. Graham, Andrew J. Drake, Scott Davidoff, Jeffrey S. Norris, Giuseppe Longo:
Immersive and collaborative data visualization using virtual reality platforms. IEEE BigData 2014: 609-614 - [c6]S. George Djorgovski, Ashish Mahabal, Ciro Donalek, Matthew J. Graham, Andrew J. Drake, Michael J. Turmon, Thomas J. Fuchs:
Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys. eScience 2014: 204-211 - [i4]Ciro Donalek, S. George Djorgovski, Scott Davidoff, Alex Cioc, Anwell Wang, Giuseppe Longo, Jeffrey S. Norris, Jerry Zhang, Elizabeth Lawler, Stacy Yeh, Ashish Mahabal, Matthew J. Graham, Andrew J. Drake:
Immersive and Collaborative Data Visualization Using Virtual Reality Platforms. CoRR abs/1410.7670 (2014) - 2013
- [c5]Ciro Donalek, S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Andrew J. Drake, Arun Kumar A., N. Sajeeth Philip, Thomas J. Fuchs, Michael J. Turmon, Michael Ting-Chang Yang, Giuseppe Longo:
Feature selection strategies for classifying high dimensional astronomical data sets. IEEE BigData 2013: 35-41 - [i3]Ciro Donalek, Arun Kumar A., S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Thomas J. Fuchs, Michael J. Turmon, N. Sajeeth Philip, Michael Ting-Chang Yang, Giuseppe Longo:
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets. CoRR abs/1310.1976 (2013) - 2012
- [j1]Matthew J. Graham, S. George Djorgovski, Ashish Mahabal, Ciro Donalek, Andrew J. Drake, Giuseppe Longo:
Data challenges of time domain astronomy. Distributed Parallel Databases 30(5-6): 371-384 (2012) - [c4]S. George Djorgovski, Ashish Mahabal, Ciro Donalek, Matthew J. Graham, Andrew J. Drake, Baback Moghaddam, Mike Turmon:
Flashes in a star stream: Automated classification of astronomical transient events. eScience 2012: 1-8 - 2011
- [c3]S. George Djorgovski, Ciro Donalek, Ashish Mahabal, Baback Moghaddam, Mike Turmon, Matthew J. Graham, Andrew J. Drake, Nihar Sharma, Yutong Chen:
Towards an Automated Classification of Transient Events in Synoptic Sky Surveys. CIDU 2011: 174-188 - [i2]Matthew J. Graham:
The Art of Data Science. CoRR abs/1106.3305 (2011)
2000 – 2009
- 2009
- [c2]S. George Djorgovski, Piet Hut, Steve McMillan, Enrico Vesperini, Robert A. Knop Jr., W. Farr, Matthew J. Graham:
Exploring the Use of Virtual Worlds as a Scientific Research Platform: The Meta-Institute for Computational Astrophysics (MICA). FaVE 2009: 29-43 - [i1]S. George Djorgovski, Piet Hut, Steve McMillan, Enrico Vesperini, Robert A. Knop Jr., W. Farr, Matthew J. Graham:
Exploring the Use of Virtual Worlds as a Scientific Research Platform: The Meta-Institute for Computational Astrophysics (MICA). CoRR abs/0907.3520 (2009) - 2006
- [c1]S. George Djorgovski, Ciro Donalek, Ashish Mahabal, R. Williams, Andrew J. Drake, Matthew J. Graham, E. Glikman:
Some Pattern Recognition Challenges in Data-Intensive Astronomy. ICPR (1) 2006: 856-863
Coauthor Index
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