Some Pattern Recognition Challenges in Data-Intensive Astronomy. - S. George Djorgovski; Ciro Donalek; Ashish Mahabal; R. Williams; Andrew J. Drake; Matthew J. Graham; E. Glikman (ICPR (1), 2006)

Comparing SVM ensembles for imbalanced datasets. - Vasudha Bhatnagar; Manju Bhardwaj; Ashish Mahabal (ISDA, 2010)

DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration - 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; et al. (CoRR, 2010)

Towards an Automated Classification of Transient Events in Synoptic Sky Surveys. - S. George Djorgovski; Ciro Donalek; Ashish Mahabal; Baback Moghaddam; Mike Turmon; Matthew J. Graham; Andrew J. Drake; Nihar Sharma; Yutong Chen (CIDU, 2011)

The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community - 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; et al. (CoRR, 2011)

Data Understanding using Semi-Supervised Clustering. - Vasudha Bhatnagar; Rashmi Dobariyal; Priya Jain; Ashish Mahabal (CIDU, 2012)

Flashes in a star stream: Automated classification of astronomical transient events. - S. George Djorgovski; Ashish Mahabal; Ciro Donalek; Matthew J. Graham; Andrew J. Drake; Baback Moghaddam; Mike Turmon (eScience, 2012)

Data challenges of time domain astronomy. - Matthew J. Graham; S. George Djorgovski; Ashish Mahabal; Ciro Donalek; Andrew J. Drake; Giuseppe Longo (Distributed Parallel Databases, 2012)

Feature selection strategies for classifying high dimensional astronomical data sets. - 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 (IEEE BigData, 2013)

Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets. - 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 (CoRR, 2013)

Immersive and collaborative data visualization using virtual reality platforms. - 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; et al. (IEEE BigData, 2014)

Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys. - S. George Djorgovski; Ashish Mahabal; Ciro Donalek; Matthew J. Graham; Andrew J. Drake; Michael J. Turmon; Thomas J. Fuchs (eScience, 2014)

10 Simple Rules for the Care and Feeding of Scientific Data. - 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 L. Kashyap; et al. (CoRR, 2014)

Ten Simple Rules for the Care and Feeding of Scientific Data. - 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 L. Kashyap; et al. (PLoS Comput. Biol., 2014)

From stars to patients: Lessons from space science and astrophysics for health care informatics. - S. George Djorgovski; Ashish Mahabal; Daniel J. Crichton; Basit Chaudhry (IEEE BigData, 2015)

Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics. - Ricardo Vilalta; Kinjal Dhar Gupta; Ashish Mahabal (ECML/PKDD (3), 2015)

AstroStat - A VO tool for statistical analysis. - 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 (Astron. Comput., 2015)

Detection of quasars in the time domain. - Matthew J. Graham; S. George Djorgovski; Daniel J. Stern; Andrew J. Drake; Ashish Mahabal (Astroinformatics, 2016)

From Sky to Earth: Data Science Methodology Transfer. - Ashish Mahabal; Daniel J. Crichton; S. George Djorgovski; Emily Law; John S. Hughes (Astroinformatics, 2016)

Real-time data mining of massive data streams from synoptic sky surveys. - S. George Djorgovski; Matthew J. Graham; Ciro Donalek; Ashish Mahabal; Andrew J. Drake; Michael J. Turmon; Thomas J. Fuchs (Future Gener. Comput. Syst., 2016)

Modeling lightcurves for improved classification of astronomical objects. - Julian Faraway; Ashish Mahabal; Jiayang Sun; Xiao-Feng Wang; Yi G. Wang; Lingsong Zhang (Stat. Anal. Data Min., 2016)

Massively-parallel best subset selection for ordinary least-squares regression. - Fabian Gieseke; Kai Lars Polsterer; Ashish Mahabal; Christian Igel; Tom Heskes (SSCI, 2017)

Deep-learnt classification of light curves. - Ashish Mahabal; Kshiteej Sheth; Fabian Gieseke; Akshay Pai; S. George Djorgovski; Andrew J. Drake; Matthew J. Graham (SSCI, 2017)

Photometric redshift estimation: An active learning approach. - Ricardo Vilalta; Emille E. O. Ishida; Róbert Beck; R. Sutrisno; Rafael S. de Souza; Ashish Mahabal (SSCI, 2017)

Effective Image Differencing with ConvNets for Real-time Transient Hunting. - Nima Sedaghat; Ashish Mahabal (CoRR, 2017)

Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification. - Sreyasee Das Bhattacharjee; William J. Tolone; Mohammed Elshambakey; Isaac Cho; Ashish Mahabal; S. George Djorgovski (IEEE BigData, 2018)

Bigger Buffer k-d Trees on Multi-Many-Core Systems. - Fabian Gieseke; Cosmin Eugen Oancea; Ashish Mahabal; Christian Igel; Tom Heskes (VECPAR, 2018)

Multi-View, Generative, Transfer Learning for Distributed Time Series Classification. - Sreyasee Das Bhattacharjee; William J. Tolone; Ashish Mahabal; Mohammed Elshambakey; Isaac Cho; Abdullah al-Raihan Nayeem; Junsong Yuan 001; S. George Djorgovski (IEEE BigData, 2019)

View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification. - Sreyasee Das Bhattacharjee; William J. Tolone; Ashish Mahabal; Mohammed Elshambakey; Isaac Cho; S. George Djorgovski (COMPSAC (1), 2019)

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. - 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; et al. (CoRR, 2019)

New methods to assess and improve LIGO detector duty cycle. - Ayon Biswas; Jess McIver; Ashish Mahabal (CoRR, 2019)

Eliminating artefacts in Polarimetric Images using Deep Learning. - Dhruv Paranjpye; Ashish Mahabal; A. N. Ramaprakash; Gina Panopoulou; Kieran Cleary; Anthony Readhead; Dmitry Blinov; Kostas Tassis (CoRR, 2019)

Enabling real-time multi-messenger astrophysics discoveries with deep learning. - 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; et al. (CoRR, 2019)

Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier. - 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; et al. (CoRR, 2020)

Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS. - Sriram Rao; Ashish Mahabal; Niyanth Rao; Cauligi S. Raghavendra (CoRR, 2021)

Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning. - 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; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. - 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; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. - 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; et al. (CoRR, 2021)

SNGuess: A method for the selection of young extragalactic transients. - N. Miranda; Johann-Christoph Freytag; Jakob Nordin; Rahul Biswas; Valery Brinnel; Christoffer Fremling; Marek Kowalski; Ashish Mahabal; Simeon Reusch; Jakob van Santen (CoRR, 2022)

Applications of AI in Astronomy. - S. George Djorgovski; Ashish Mahabal; Matthew J. Graham; Kai Polsterer; Alberto Krone-Martins (CoRR, 2022)

Biological research and self-driving labs in deep space supported by artificial intelligence. - 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; et al. (Nat. Mac. Intell., 2023)

Biomonitoring and precision health in deep space supported by artificial intelligence. - 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; et al. (Nat. Mac. Intell., 2023)

Light curve classification with DistClassiPy: A new distance-based classifier. - Siddharth Chaini; Ashish Mahabal; Ajit Kembhavi; Federica B. Bianco (Astron. Comput., 2024)

Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics. - Nima Sedaghat; Tanawan Chatchadanoraset; Colin Orion Chandler; Ashish Mahabal; Maryam Eslami (CoRR, 2024)