S. George Djorgovski

发表

Flashes in a star stream: Automated classification of astronomical transient events

Ciro Donalek, Matthew J. Graham, Ashish Mahabal, 2012, 2012 IEEE 8th International Conference on E-Science.

Multivariate statistical analysis software technologies for astrophysical research involving large data bases

S. George Djorgovski, S. Djorgovski, 1993 .

The Digital Sky Project: Creating a Multi-Wavelength Virtual Observatory

Robert J. Brunner, Stephen C. Odewahn, John C. Good, 1998 .

Automated cataloging and analysis of sky survey image databases: the SKICAT system

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir, 1993, CIKM '93.

Exploration of parameter spaces in a virtual observatory

Robert J. Brunner, Joseph C. Jacob, Ashish Mahabal, 2001, SPIE Optics + Photonics.

Deep-learnt classification of light curves

Akshay Pai, Fabian Gieseke, Matthew J. Graham, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir, 1993, ICML.

Clustering Analysis Algorithms and Their Applications to Digital POSS-II Catalogs

Alexander G. Gray, Usama Fayyad, S. George Djorgovski, 1995 .

From Sky to Earth: Data Science Methodology Transfer

Ashish Mahabal, Daniel J. Crichton, S. George Djorgovski, 2016, Astroinformatics.

Virtual Observatories of the Future

Alexander S. Szalay, Robert J. Brunner, S. George Djorgovski, 2001 .

The National Virtual Observatory

Robert J. Brunner, Thomas A. Prince, S. George Djorgovski, 2001 .

The National Virtual Observatory Science Definintion Team: Report and Status

S. George Djorgovski, 2002 .

Detection of quasars in the time domain

Matthew J. Graham, Ashish Mahabal, S. George Djorgovski, 2016, Astroinformatics.

From stars to patients: Lessons from space science and astrophysics for health care informatics

Ashish Mahabal, Daniel J. Crichton, S. George Djorgovski, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Virtual Observatory: From Concept to Implementation pdf

S. George Djorgovski, R. Williams, S. Djorgovski, 2005, ArXiv.

Exploring the Use of Virtual Worlds as a Scientific Research Platform: The Meta-Institute for Computational Astrophysics (MICA)

Matthew J. Graham, S. George Djorgovski, Steve McMillan, 2009, FaVE.

Multi-View, Generative, Transfer Learning for Distributed Time Series Classification

Isaac Cho, William J. Tolone, Ashish Mahabal, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Immersive and collaborative data visualization using virtual reality platforms

Jeffrey S. Norris, Ciro Donalek, Matthew J. Graham, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Data mining a large digital sky survey: from the challenges to the scientific results

S. George Djorgovski, Paul Stolorz, R. R. Gal, 1997, Optics & Photonics.

Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification

Isaac Cho, William J. Tolone, Ashish Mahabal, 2018, 2018 IEEE International Conference on Big Data (Big Data).

DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration pdf

Mauro Garofalo, Stefano Cavuoti, Giovanni D'Angelo, 2010, ArXiv.

Data challenges of time domain astronomy

Ciro Donalek, Giuseppe Longo, Matthew J. Graham, 2012, Distributed and Parallel Databases.

Bayesian Classification Methods for Synoptic Sky Surveys

A. J. Drake, Ciro Donalek, Ashish A. Mahabal, 2009 .

Some statistical and computational challenges, and opportunities in astronomy

S. George Djorgovski, G. Jogesh Babu, S. Djorgovski, 2004 .

Automated analysis and exploration of image databases: Results, progress, and challenges

Padhraic Smyth, Usama M. Fayyad, S. George Djorgovski, 2004, Journal of Intelligent Information Systems.

Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys

Ciro Donalek, Matthew J. Graham, Ashish Mahabal, 2014, 2014 IEEE 10th International Conference on e-Science.

View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification

Isaac Cho, William J. Tolone, Ashish Mahabal, 2019, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC).

Virtual astronomy, information technology, and the new scientific methodology

S. George Djorgovski, S. Djorgovski, 2005, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05).

Massive datasets in astronomy

Robert J. Brunner, Thomas A. Prince, S. George Djorgovski, 2001 .

Cataloging and Exploration of the Digitized POSS-II

Usama Fayyad, S. George Djorgovski, Nicholas Weir, 1994 .

Automating the Analysis and Cataloging of Sky Surveys

Usama M. Fayyad, S. George Djorgovski, Nicholas Weir, 1996, Advances in Knowledge Discovery and Data Mining.

Caltech Undergraduate Research Journal (CURJ) : [1996]- 1997

Peter Schröder, Frances H. Arnold, Elliot M. Meyerowitz, 1998 .

The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community pdf

Mauro Garofalo, Massimo Brescia, Stefano Cavuoti, 2011, ArXiv.

Real-time data mining of massive data streams from synoptic sky surveys

Ciro Donalek, Matthew J. Graham, Ashish Mahabal, 2016, Future Gener. Comput. Syst..

The EDRN knowledge environment: an open source, scalable informatics platform for biological sciences research

Luca Cinquini, Ashish A. Mahabal, Daniel J. Crichton, 2017, Defense + Security.

Analysis of Digital POSS-II Catalogs Using Hierarchical Unsupervised Learning Algorithms

Alexander G. Gray, Usama Fayyad, S. George Djorgovski, 1996 .

Some Pattern Recognition Challenges in Data-Intensive Astronomy

E. Glikman, Ciro Donalek, Matthew J. Graham, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

CELT site testing program

Jerry Nelson, Gary Chanan, S. George Djorgovski, 2003, SPIE Astronomical Telescopes + Instrumentation.

Data-Intensive Astronomy

S. George Djorgovski, 2012 .