Matthew J. Graham

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 13

Top Topics

Multidimensional Data Sets

Massive Data Streams

Data Visualization

Top Venues

Astroinformatics

Publications

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 (2022)
S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Kai Polsterer, Alberto Krone-Martins
Applications of AI in Astronomy. CoRR (2022)
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)
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 (2021)
E. 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 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 (2019)
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, E. 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 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 (2019)
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 (2018)
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, A. Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham
Deep-learnt classification of light curves. SSCI (2017)
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham
Deep-Learnt Classification of Light Curves. CoRR (2017)
Matthew J. Graham, S. George Djorgovski, Daniel J. Stern, Andrew J. Drake, Ashish Mahabal
Detection of quasars in the time domain. Astroinformatics (2016)
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 (2016)
Michael Hucka, Matthew J. Graham
Software search is not a science, even among scientists. CoRR (2016)
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 (2016)
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)
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 (2014)
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)
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 (2013)
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)
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) (2012)
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)
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)
Matthew J. Graham
The Art of Data Science CoRR (2011)
S. George Djorgovski, Piet Hut, Steve McMillan, E. Vesperini, R. Knop, 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)
S. George Djorgovski, Piet Hut, Steve McMillan, E. Vesperini, R. Knop, W. Farr, Matthew J. Graham
Exploring the Use of Virtual Worlds as a Scientific Research Platform: The Meta-Institute for Computational Astrophysics (MICA) CoRR (2009)
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)