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2010 – 2019
- 2019
[c19]Sreyasee Das Bhattacharjee, William J. Tolone, Ashish Mahabal, Mohammed Elshambakey, Isaac Cho, Abdullah al-Raihan Nayeem, Junsong Yuan, S. George Djorgovski:
Multi-View, Generative, Transfer Learning for Distributed Time Series Classification. BigData 2019: 5585-5594- [c18]Sreyasee Das Bhattacharjee, William J. Tolone, Ashish Mahabal, Mohammed Elshambakey, Isaac Cho, S. George Djorgovski:
View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification. COMPSAC (1) 2019: 373-381 - [i14]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 abs/1902.00522 (2019) - [i13]Ayon Biswas, Jess McIver, Ashish Mahabal:
New methods to assess and improve LIGO detector duty cycle. CoRR abs/1910.12143 (2019) - [i12]Dhruv Paranjpye, Ashish Mahabal, A. N. Ramaprakash, Gina Panopoulou, Kieran Cleary, Anthony Readhead, Dmitry Blinov, Kostas Tassis:
Eliminating artefacts in Polarimetric Images using Deep Learning. CoRR abs/1911.08327 (2019) - [i11]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 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 Marka, 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 abs/1911.11779 (2019) - 2018
- [c17]Sreyasee Das Bhattacharjee, William J. Tolone, Mohammed Elshambakey, Isaac Cho, Ashish Mahabal, S. George Djorgovski:
Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification. BigData 2018: 959-966 - [c16]Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes:
Bigger Buffer k-d Trees on Multi-Many-Core Systems. VECPAR 2018: 202-214 - 2017
- [c15]Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes:
Massively-parallel best subset selection for ordinary least-squares regression. SSCI 2017: 1-8 - [c14]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: 1-8 - [c13]Ricardo Vilalta, Emille E. O. Ishida, R. Beck, R. Sutrisno, Rafael S. de Souza, Ashish Mahabal:
Photometric redshift estimation: An active learning approach. SSCI 2017: 1-8 - [i10]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) - [i9]Nima Sedaghat, Ashish Mahabal:
Effective Image Differencing with ConvNets for Real-time Transient Hunting. CoRR abs/1710.01422 (2017) - 2016
- [j4]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) - [j3]Julian Faraway
, Ashish Mahabal, Jiayang Sun, Xiao-Feng Wang, Yi G. Wang, Lingsong Zhang:
Modeling lightcurves for improved classification of astronomical objects. Statistical Analysis and Data Mining 9(1): 1-11 (2016) - [c12]Ashish Mahabal, Daniel J. Crichton, S. George Djorgovski, Emily Law, John S. Hughes:
From Sky to Earth: Data Science Methodology Transfer. Astroinformatics 2016: 17-26 - [c11]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 - [i8]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) - 2015
- [c10]S. George Djorgovski, Ashish Mahabal, Daniel J. Crichton, B. Chaudhry:
From stars to patients: Lessons from space science and astrophysics for health care informatics. BigData 2015: 2957-2959 - [c9]Ricardo Vilalta, Kinjal Dhar Gupta, Ashish Mahabal:
Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics. ECML/PKDD (3) 2015: 241-244 - [i7]Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes:
Bigger Buffer k-d Trees on Multi-Many-Core Systems. CoRR abs/1512.02831 (2015) - [i6]S. George Djorgovski, Ashish Mahabal, Daniel J. Crichton, B. Chaudhry:
From Stars to Patients: Lessons from Space Science and Astrophysics for Health Care Informatics. CoRR abs/1512.05272 (2015) - 2014
- [j2]Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Mercè Crosas, Rosanne Di Stefano, Yolanda Gil, Paul T. Groth, Margaret L. Hedstrom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra B. Slavkovic:
Ten Simple Rules for the Care and Feeding of Scientific Data. PLoS Computational Biology 10(4) (2014) - [c8]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. BigData 2014: 609-614 - [c7]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 - [i5]Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Mercè Crosas, Rosanne Di Stefano, Yolanda Gil, Paul T. Groth, Margaret L. Hedstrom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Aleksandra B. Slavkovic:
10 Simple Rules for the Care and Feeding of Scientific Data. CoRR abs/1401.2134 (2014) - [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
- [c6]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. 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) - [c5]Vasudha Bhatnagar, Rashmi Dobariyal, Priya Jain, Ashish Mahabal:
Data Understanding using Semi-Supervised Clustering. CIDU 2012: 118-123 - [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]Massimo Brescia, Anna Corazza, Stefano Cavuoti, Giovanni D'Angelo, Raffaele D'Abrusco, Ciro Donalek, S. George Djorgovski, N. Deniskina, Michelangelo Fiore, Mauro Garofalo, Omar Laurino, Giuseppe Longo, Ashish Mahabal, Francesco Manna, Alfonso Nocella, B. Skordovski:
The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community. CoRR abs/1112.0742 (2011) - 2010
- [c2]Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal:
Comparing SVM ensembles for imbalanced datasets. ISDA 2010: 651-657 - [i1]Massimo Brescia, Giuseppe Longo, S. George Djorgovski, Stefano Cavuoti, Raffaele D'Abrusco, Ciro Donalek, Alessandro Di Guido, Michelangelo Fiore, Mauro Garofalo, Omar Laurino, Ashish Mahabal, Francesco Manna, Alfonso Nocella, Giovanni D'Angelo, Maurizio Paolillo:
DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration. CoRR abs/1010.4843 (2010)
2000 – 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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