681 citations · 1.5k across the 11 of their papers we have counts for
11 papers
Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study
Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul +20
Federated learning (FL) in healthcare remains challenging, as the overhead of rebuilding governance guarantees for every collaboration stops most projects at the proof-of-concept s…
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang +28
A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an accepta…
The Pristine survey X: a large population of low-metallicity stars permeates the Galactic disk
Federico Sestito, Nicolas F. Martin, Else Starkenburg +26
The orbits of the least chemically enriched stars open a window on the formation of our Galaxy when it was still in its infancy. The common picture is that these low-metallicity st…
The Pristine Survey -- VI. The first three years of medium-resolution follow-up spectroscopy of Pristine EMP star candidates
David S. Aguado, Kris Youakim, Jonay I. González Hernández +27
We present the results of a 3-year long, medium-resolution spectroscopic campaign aimed at identifying very metal-poor stars from candidates selected with the CaHK, metallicity-sen…
Machine learning in APOGEE: Identification of stellar populations through chemical abundances
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida +1
The vast volume of data generated by modern astronomical surveys offers test beds for the application of machine-learning. It is important to evaluate potential existing tools and…
Chemical Abundances of Main-Sequence, Turnoff, Subgiant and red giant Stars from APOGEE spectra II: Atomic Diffusion in M67 Stars
Diogo Souto, C. Allende Prieto, Katia Cunha +14
Chemical abundances for 15 elements (C, N, O, Na, Mg, Al, Si, K, Ca, Ti, V, Cr, Mn, Fe, and Ni) are presented for 83 stellar members of the 4 Gyr old solar-metallicity open cluster…
The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library
D. S. Aguado, Romina Ahumada, Andres Almeida +230
Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years o…
Machine learning in APOGEE: Unsupervised spectral classification with -means
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida +1
The data volume generated by astronomical surveys is growing rapidly. Traditional analysis techniques in spectroscopy either demand intensive human interaction or are computational…
The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment
Bela Abolfathi, D. S. Aguado, Gabriela Aguilar +344
The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourtee…
OCCASO II. Physical parameters and Fe abundances of Red Clump stars in 18 Open Clusters
L. Casamiquela, R. Carrera, S. Blanco-Cuaresma +13
Open Clusters have long been used to study the chemo-dynamical evolution of the Galactic disk. This requires an homogeneously analysed sample covering a wide range of ages and dist…
The Astropy Problem
Demitri Muna, Michael Alexander, Alice Allen +151
The Astropy Project (http://astropy.org) is, in its own words, "a community effort to develop a single core package for Astronomy in Python and foster interoperability between Pyth…