Ashish Mahabal

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 28

Top Topics

Probabilistic Classifiers

Subset Selection

Massive Data Streams

Artificial Intelligence

Top Venues

Astron. Comput.

Publications

Siddharth Chaini, Ashish Mahabal, Ajit Kembhavi, Federica B. Bianco
Light Curve Classification with DistClassiPy: a new distance-based classifier. CoRR (2024)
Siddharth Chaini, Ashish Mahabal, Ajit Kembhavi, Federica B. Bianco
Light curve classification with DistClassiPy: A new distance-based classifier. Astron. Comput. 48 (2024)
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 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) (2023)
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 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) (2023)
S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Kai Polsterer, Alberto Krone-Martins
Applications of AI in Astronomy. CoRR (2022)
Sriram Rao, Ashish Mahabal, Niyanth Rao, Cauligi S. Raghavendra
Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS. CoRR (2021)
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 Chalk, Guillermo M. Delgado-Aparicio, Melissa 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 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 (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)
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 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 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 (2021)
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 (2020)
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)
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)
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)
Ayon Biswas, Jess McIver, Ashish Mahabal
New methods to assess and improve LIGO detector duty cycle. 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)
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 (2019)
Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes
Bigger Buffer k-d Trees on Multi-Many-Core Systems. VECPAR (2018)
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)
Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes
Massively-parallel best subset selection for ordinary least-squares regression. SSCI (2017)
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)
Nima Sedaghat, Ashish Mahabal
Effective Image Differencing with ConvNets for Real-time Transient Hunting. CoRR (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)
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)
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)
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) (2016)
Ashish Mahabal, Daniel J. Crichton, S. George Djorgovski, Emily Law, John S. Hughes
From Sky to Earth: Data Science Methodology Transfer. 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. Future Gener. Comput. Syst. 59 (2016)
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 (2015)
Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes
Bigger Buffer k-d Trees on Multi-Many-Core Systems. CoRR (2015)
S. George Djorgovski, Ashish Mahabal, Daniel J. Crichton, B. Chaudhry
From stars to patients: Lessons from space science and astrophysics for health care informatics. IEEE BigData (2015)
Ricardo Vilalta, Kinjal Dhar Gupta, Ashish Mahabal
Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics. ECML/PKDD (3) (2015)
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 (2015)
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)
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)
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)
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 (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)
Vasudha Bhatnagar, Rashmi Dobariyal, Priya Jain, Ashish Mahabal
Data Understanding using Semi-Supervised Clustering. CIDU (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)
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 (2011)
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 (2010)
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal
Comparing SVM ensembles for imbalanced datasets. ISDA (2010)
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)