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2020 – today
- 2024
[j8]Siddharth Chaini
, Ashish Mahabal, Ajit Kembhavi, Federica B. Bianco:
Light curve classification with DistClassiPy: A new distance-based classifier. Astron. Comput. 48: 100850 (2024)- [i22]Siddharth Chaini, Ashish Mahabal, Ajit Kembhavi, Federica B. Bianco:
Light Curve Classification with DistClassiPy: a new distance-based classifier. CoRR abs/2403.12120 (2024) - 2023
- [j7]Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes:
Biomonitoring and precision health in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 196-207 (2023) - [j6]Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes:
Biological research and self-driving labs in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 208-219 (2023) - 2022
- [i21]N. Miranda, Johann-Christoph Freytag, Jakob Nordin, Rahul Biswas, Valery Brinnel, Christoffer Fremling, Marek Kowalski, Ashish Mahabal, Simeon Reusch, Jakob van Santen:
SNGuess: A method for the selection of young extragalactic transients. CoRR abs/2208.06534 (2022) - [i20]S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Kai Polsterer, Alberto Krone-Martins:
Applications of AI in Astronomy. CoRR abs/2212.01493 (2022) - 2021
- [i19]Sriram Rao, Ashish Mahabal, Niyanth Rao, Cauligi S. Raghavendra:
Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS. CoRR abs/2101.09227 (2021) - [i18]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) - [i17]Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes:
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. CoRR abs/2112.12554 (2021) - [i16]Lauren M. Sanders, Jason H. Yang, Ryan T. Scott, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes:
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. CoRR abs/2112.12582 (2021) - 2020
- [i15]Rodrigo Carrasco-Davis, Esteban Reyes, Camilo Valenzuela, Francisco Förster, Pablo A. Estévez, Giuliano Pignata, Franz E. Bauer, Ignacio Reyes, Paula Sánchez-Sáez, Guillermo Cabrera-Vives, Susana Eyheramendy, Márcio Catelán, Javier Arredondo, Ernesto Castillo-Navarrete, Diego Rodríguez-Mancini, Daniela Ruz-Mieres, Alberto Moya, Luis Sabatini-Gacitúa, Cristóbal Sepúlveda-Cobo, Ashish Mahabal, Javier Silva-Farfán, Ernesto Camacho-Iñiquez, Lluís Galbany:
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier. CoRR abs/2008.03309 (2020)
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. IEEE 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, 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) - [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]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
- [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. IEEE 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, Akshay 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, Róbert 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
- [j5]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) - [j4]Julian Faraway, Ashish Mahabal, Jiayang Sun, Xiao-Feng Wang, Yi G. Wang, Lingsong Zhang:
Modeling lightcurves for improved classification of astronomical objects. Stat. Anal. Data Min. 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
- [j3]Ajit K. Kembhavi, Ashish Mahabal, T. Kale, S. Jagade, Ajay M. Vibhute, Prerak Garg, Kaustubh Vaghmare, S. Navelkar, T. Agrawal, Asis Kumar Chattopadhyay, Deoyani Nandrekar, Mohasin Shaikh:
AstroStat - A VO tool for statistical analysis. Astron. Comput. 11: 126-137 (2015) - [c10]S. George Djorgovski, Ashish Mahabal, Daniel J. Crichton, Basit Chaudhry:
From stars to patients: Lessons from space science and astrophysics for health care informatics. IEEE 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, Basit 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 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 Comput. Biol. 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. IEEE 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 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. 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) - [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, Natalia 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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