Matias Carrasco Kind

Orcid: 0000-0002-4802-3194

According to our database1, Matias Carrasco Kind authored at least 18 papers between 2013 and 2021.

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Bibliography

2021
Extended Isolation Forest.
IEEE Trans. Knowl. Data Eng., 2021

AGNet: Weighing Black Holes with Deep Learning.
CoRR, 2021

More than Meets the Eye: Towards an Artificial Intelligence Observatory.
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

2020
<i>flimview</i> : A software framework to handle, visualize and analyze FLIM data.
F1000Research, 2020

A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest.
CoRR, 2020

AGNet: Weighing Black Holes with Machine Learning.
CoRR, 2020

Survey2Survey: A deep learning generative model approach for cross-survey image mapping.
CoRR, 2020

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects.
CoRR, 2020

Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs.
Astron. Comput., 2020

2019
easyaccess: Enhanced SQL command line interpreter for astronomical surveys.
J. Open Source Softw., 2019

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

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

2018
DES science portal: Creating science-ready catalogs.
Astron. Comput., 2018

DES science portal: Computing photometric redshifts.
Astron. Comput., 2018

Batch and online anomaly detection for scientific applications in a Kubernetes environment.
Proceedings of the 9th Workshop on Scientific Cloud Computing, 2018

2017
Vizic: A Jupyter-based interactive visualization tool for astronomical catalogs.
Astron. Comput., 2017

2016
Crowdsourcing quality control for Dark Energy Survey images.
Astron. Comput., 2016

2013
SOMz: photometric redshift PDFs with self organizing maps and random atlas.
CoRR, 2013


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