Ashish Mahabal

According to our database1, Ashish Mahabal authored at least 19 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
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

From Sky to Earth: Data Science Methodology Transfer.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

Detection of quasars in the time domain.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

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

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

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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