Ashish Mahabal

According to our database1, Ashish Mahabal authored at least 27 papers between 2006 and 2017.

Collaborative distances :
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Effective Image Differencing with ConvNets for Real-time Transient Hunting.
CoRR, 2017

Deep-Learnt Classification of Light Curves.
CoRR, 2017

Photometric redshift estimation: An active learning approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Deep-learnt classification of light curves.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Massively-parallel best subset selection for ordinary least-squares regression.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Modeling lightcurves for improved classification of astronomical objects.
Statistical Analysis and Data Mining, 2016

Real-time data mining of massive data streams from synoptic sky surveys.
Future Generation Comp. Syst., 2016

Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys.
CoRR, 2016

2015
Bigger Buffer k-d Trees on Multi-Many-Core Systems.
CoRR, 2015

From Stars to Patients: Lessons from Space Science and Astrophysics for Health Care Informatics.
CoRR, 2015

Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

From stars to patients: Lessons from space science and astrophysics for health care informatics.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
Ten Simple Rules for the Care and Feeding of Scientific Data.
PLoS Computational Biology, 2014

10 Simple Rules for the Care and Feeding of Scientific Data.
CoRR, 2014

Immersive and Collaborative Data Visualization Using Virtual Reality Platforms.
CoRR, 2014

Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys.
Proceedings of the 10th IEEE International Conference on e-Science, 2014

Immersive and collaborative data visualization using virtual reality platforms.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

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

Feature selection strategies for classifying high dimensional astronomical data sets.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

2012
Data challenges of time domain astronomy.
Distributed and Parallel Databases, 2012

Flashes in a star stream: Automated classification of astronomical transient events.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

Data Understanding using Semi-Supervised Clustering.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011
The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community
CoRR, 2011

Towards an Automated Classification of Transient Events in Synoptic Sky Surveys.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2010
DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration
CoRR, 2010

Comparing SVM ensembles for imbalanced datasets.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

2006
Some Pattern Recognition Challenges in Data-Intensive Astronomy.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006


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