output
19982025
most citedHybrid Stars in a Strong Magnetic Field

107 citations

Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 3 cited

Face Reconstruction with Variational Autoencoder and Face Masks

Rafael S. Toledo, Eric A. Antonelo

Variational AutoEncoders (VAE) employ deep learning models to learn a continuous latent z-space that is subjacent to a high-dimensional observed dataset. With that, many tasks are…

astro-ph.GA2021★ 11 cited

FSR 1776: a new globular cluster in the Galactic bulge?

B. Dias, T. Palma, D. Minniti +6

(ABRIDGED) Recent near-IR surveys have uncovered a plethora of new globular cluster (GC) candidates towards the Milky Way bulge. These new candidates need to be confirmed as real G…

astro-ph.GA2021

The role of the diffuse ionized gas in metallicity calibrations

N. Vale Asari

Estimates of gas-phase abundances based on strong-line methods have been calibrated for H~{\scshape ii} regions. Those methods ignore any contribution from the diffuse ionized gas…

cs.DC2021★ 1 cited

Models of Computing as a Service and IoT: an analysis of the current scenario with applications using LPWAN

Wesley dos Reis Bezerra, Fernando Luiz Koch, Carlos Becker Westphall

This work provides the basis to understand and select Cloud Computing models applied for the development of IoT solutions using Low-Power Wide Area Network (LPWAN). Cloud Computing…

eess.SP2021★ 41 cited

Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing

Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba +3

Autoencoder (AEC) networks have recently emerged as a promising approach to perform unsupervised hyperspectral unmixing (HU) by associating the latent representations with the abun…

math.OC2021★ 1 cited

On the Convexity of Level-sets of Probability Functions

Yassine Laguel, Wim van Ackooij, Jérôme Malick +1

In decision-making problems under uncertainty, probabilistic constraints are a valuable tool to express safety of decisions. They result from taking the probability measure of a gi…