10 citations
- Universidad de LeónMX4 papers
- Universidad de ValladolidES3 papers
- Astronomical ObservatoryRS2 papers
- Hospital Universitario de LeónES2 papers
- Observatoire de la Côte d’AzurFR2 papers
- Agenzia Spaziale ItalianaIT1 paper
- Agrupación Astronómica de la SaforES1 paper
- Akdeniz UniversityTR1 paper
- Appalachian State UniversityUS1 paper
- Asociación por los Derechos CivilesAR1 paper
- Astronomy and SpaceAU1 paper
- Center for Astrophysics Harvard & SmithsonianUS1 paper
6 papers
Powerful Radio Sources in the Southern Sky. IV. Observations of the G4Jy-3CRE Catalog with the Australian Square Kilometre Array Pathfinder
Siegfried A. Gawenda, Juan P. Madrid, Francesco Massaro +19
A recent 2023 paper by Massaro et al. introduced the G4Jy-3CRE, a new catalog of the brightest radio sources in the southern hemisphere that serve as a southern equivalent to the T…
Constraining the size, shape, and albedo of the large Trans-Neptunian Object (28978) Ixion with multi-chord stellar occultations
Y. Kilic, F. Braga-Ribas, C. L. Pereira +81
Trans-Neptunian objects (TNOs) are among the most primitive remnants of the early Solar System, and constraining their sizes, shapes, albedos, and surface properties is essential f…
Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors
Ana González-Castro, José Alberto Benítez-Andrades, Rubén González-González +2
This study investigates fall risk prediction in older adults using various machine learning models trained on accelerometric, non-accelerometric, and combined data from 146 partici…
Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach
Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García +3
The classification of clinical notes into specific diagnostic categories is critical in healthcare, especially for mental health conditions like Anxiety and Adjustment Disorder. In…
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods
José Alberto Benítez-Andrades, Camino Prada-García, Nicolás Ordás-Reyes +3
The study proposes an advanced machine learning approach to predict spine surgery outcomes by incorporating oversampling techniques and grid search optimization. A variety of model…
Application of Machine Learning Algorithms in Classifying Postoperative Success in Metabolic Bariatric Surgery: A Comprehensive Study
José Alberto Benítez-Andrades, Camino Prada-García, Rubén García-Fernández +3
Objectives: Metabolic Bariatric Surgery (MBS) is a critical intervention for patients living with obesity and related health issues. Accurate classification and prediction of patie…