Juan B. Cabral

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Software Entropy: A Statistical Mechanics Framework for Software Testing.
CoRR
Jerónimo Fotinós, Juan B. Cabral
2025 J jnl
Addressing Methodological Uncertainty in MCDM with a Systematic Pipeline Approach to Data Transformation Sensitivity Analysis.
CoRR
Juan B. Cabral, Alvaro Roy Schachner
2025 J jnl
Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration.
Neuroinformatics
Renato Paredes, Juan B. Cabral, Peggy Seriès
2022 J jnl
Easy asteroid phase curve fitting for the Python ecosystem: Pyedra.
Astron. Comput.
Milagros Rita Colazo, Juan B. Cabral, Martín Chalela, Bruno Sánchez
2021 J jnl
Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV.
CoRR
Juan B. Cabral, Marcelo Lares, Sebastián Gurovich, D. Minniti, Pablo M. Granitto
2021 J jnl
GriSPy: A Python package for fixed-radius nearest neighbors search.
Astron. Comput.
Martín Chalela, Emanuel Sillero, Luis A. Pereyra, Mario Alejandro García, Juan B. Cabral, Marcelo Lares, Manuel E. Merchán
2020 J jnl
Astroalign: A Python module for astronomical image registration.
Astron. Comput.
Martin Beroiz, Juan B. Cabral, Bruno Sánchez
2020 J jnl
Automatic Catalog of RRLyrae from ~ 14 million VVV Light Curves: How far can we go with traditional machine-learning?
CoRR
Juan B. Cabral, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto
2019 J jnl
Astroalign: A Python module for astronomical image registration.
CoRR
Martin Beroiz, Juan B. Cabral, Bruno Sánchez
2019 J jnl
Machine learning on difference image analysis: A comparison of methods for transient detection.
Astron. Comput.
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
2018 J jnl
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning.
Astron. Comput.
Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas
2018 J jnl
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning.
CoRR
Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas
2017 J jnl
Corral Framework: Trustworthy and Fully Functional Data Intensive Parallel Astronomical Pipelines.
CoRR
Juan B. Cabral, Bruno Sánchez, Martin Beroiz, Mariano Domínguez, Marcelo Lares, Sebastián Gurovich, Pablo M. Granitto
2017 J jnl
Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines.
Astron. Comput.
Juan B. Cabral, Bruno Sánchez, Martin Beroiz, Mariano Domínguez, Marcelo Lares, Sebastián Gurovich, Pablo M. Granitto