Juan B. Cabral

According to our database, Juan B. Cabral authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

ETL for the integration of remote sensing data.

Paula V. Romero Jure, Juan Bautista Cabral, Sergio Masuelli

CoRR, 2023

A labeled dataset of cloud types using data from GOES-16 and CloudSat.

Paula V. Romero Jure, Sergio Masuelli, Juan Bautista Cabral

CoRR, 2023

2022

Easy asteroid phase curve fitting for the Python ecosystem: Pyedra.

Milagros Rita Colazo, Juan B. Cabral, Martín Chalela, Bruno Sánchez

Astron. Comput., 2022

2021

Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV.

Juan B. Cabral, Marcelo Lares, Sebastián Gurovich, D. Minniti, Pablo M. Granitto

CoRR, 2021

GriSPy: A Python package for fixed-radius nearest neighbors search.

Martín Chalela, Emanuel Sillero, Luis A. Pereyra, Mario Alejandro García, Juan B. Cabral, Marcelo Lares, Manuel E. Merchán

Astron. Comput., 2021

2020

Automatic Catalog of RRLyrae from ~ 14 million VVV Light Curves: How far can we go with traditional machine-learning?

Juan B. Cabral, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto

CoRR, 2020

Astroalign: A Python module for astronomical image registration.

Martin Beroiz, Juan B. Cabral, Bruno Sánchez

Astron. Comput., 2020

2019

Machine learning on difference image analysis: A comparison of methods for transient detection.

Bruno Sánchez, Mariano Domínguez, Marcelo Lares, Martin Beroiz, Juan B. Cabral, Sebastián Gurovich, Cecilia Quiñones, Rodolfo A. Artola, Carlos A. Colazo, Matías E. Schneiter, Carla Girardini, Marina Tornatore, Jos Luis Nilo Castellón, Diego García Lambas, Mario C. Díaz

Astron. Comput., 2019

2018

From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning.

Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas

Astron. Comput., 2018

2017

Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines.

Juan B. Cabral, Bruno Sánchez, Martin Beroiz, Mariano Domínguez, Marcelo Lares, Sebastián Gurovich, Pablo M. Granitto

Astron. Comput., 2017