S. George Djorgovski

Publication Activity (10 Years)

Years Active: 1993-2022
Publications (10 Years): 14

Top Topics

Multidimensional Data Sets

Transfer Learning

Massive Data Streams

Top Venues

Astroinformatics

Publications

Santiago V. Lombeyda, S. George Djorgovski, An Tran, Joy Liu
An Open, Multi-Platform Software Architecture for Online Education in the Metaverse. Web3D (2022)
Santiago V. Lombeyda, S. George Djorgovski, An Tran, Joy Liu, A. Noyes, S. Fomina
An Open, Multi-Platform Software Architecture for Online Education in the Metaverse. CoRR (2022)
S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Kai Polsterer, Alberto Krone-Martins
Applications of AI in Astronomy. CoRR (2022)
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)
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)
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)
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)
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)
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)
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)
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)
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)
S. George Djorgovski, R. Williams
Virtual Observatory: From Concept to Implementation CoRR (2005)
S. George Djorgovski
Virtual Astronomy, Information Technology, and the New Scientific Methodology. CAMP (2005)
Usama M. Fayyad, S. George Djorgovski, Nicholas Weir
From Digitized Images to Online Catalogs: Data Mining a Sky Survey. AI Mag. 17 (2) (1996)
Usama M. Fayyad, Padhraic Smyth, Nicholas Weir, S. George Djorgovski
Automated Analysis and Exploration of Image Databases: Results, Progress, and Challenges. J. Intell. Inf. Syst. 4 (1) (1995)
Usama M. Fayyad, Nicholas Weir, S. George Djorgovski
Automated Cataloging and Analysis of Sky Survey Image Databases: The SKICAT System. CIKM (1993)
Usama M. Fayyad, Nicholas Weir, S. George Djorgovski
SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys. ICML (1993)