Ashish Mahabal

Orcid: 0000-0003-2242-0244

According to our database1, Ashish Mahabal authored at least 43 papers between 2006 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Light Curve Classification with DistClassiPy: a new distance-based classifier.
CoRR, 2024

2023
Biomonitoring and precision health in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023

Biological research and self-driving labs in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023

2022
Applications of AI in Astronomy.
CoRR, 2022

SNGuess: A method for the selection of young extragalactic transients.
CoRR, 2022

2021
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs.
CoRR, 2021

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health.
CoRR, 2021

Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning.
CoRR, 2021

Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS.
CoRR, 2021

2020
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier.
CoRR, 2020

2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR, 2019

Eliminating artefacts in Polarimetric Images using Deep Learning.
CoRR, 2019

New methods to assess and improve LIGO detector duty cycle.
CoRR, 2019

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

View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

Multi-View, Generative, Transfer Learning for Distributed Time Series Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Bigger Buffer k-d Trees on Multi-Many-Core Systems.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2018, 2018

Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Effective Image Differencing with ConvNets for Real-time Transient Hunting.
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.
Stat. Anal. Data Min., 2016

Real-time data mining of massive data streams from synoptic sky surveys.
Future Gener. Comput. 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
AstroStat - A VO tool for statistical analysis.
Astron. Comput., 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 (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Ten Simple Rules for the Care and Feeding of Scientific Data.
PLoS Comput. Biol., 2014

10 Simple Rules for the Care and Feeding of Scientific Data.
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 (IEEE BigData 2014), 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 (IEEE BigData 2013), 2013

2012
Data challenges of time domain astronomy.
Distributed 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


  Loading...