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A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States
(American Statistician, 2021)
The spread of COVID-19 in the U.S. prompted nonpharmaceutical interventions which caused a reduction in mobility everywhere, although with large disparities between different counties. Using a Bayesian spatial modeling ...
Exploring some practical issues of SVM+: Is really privileged information that helps?
(Elsevier, 2014)
Learning using privileged information (LUPI) is a machine learning paradigm which aims at improving classification by taking advantage of information that is only available at training time —not at test time. SVM+ is an ...
Real-world Deployment of Privacy-Enhancing Authentication System using Attribute-based Credentials
(Association for Computing Machinery (ACM), 2022)
With the daily increase in digitalization and integration of the physical and digital worlds, we need to better protect users’ privacy and
identity. Attribute-based Credentials (ABCs) seem to be a promising
technology ...
Implementation of Revocable Keyed-Verification Anonymous Credentials on Java Card
(Association for Computing Machinery (ACM), 2022)
Java Card stands out as a good choice for the development of smart
card applications due to the high interoperability between different
manufacturers, its security, and wide support of cryptographic algorithms. Despite ...
Assessment of Parametric Assembly Models Based on CAD Quality Dimensions
(Taylor & Francis, 2018)
An approach to convey CAD quality
-
oriented strategies to beginning
users
to create
bottom
-
up
assemblies
is described
.
The work builds on previous
efforts in the area of single part ...
Temporal stability on human activity recognition based on Wi-Fi CSI
(IEEE, 2023-12-06)
Over the last years, numerous studies have emerged using Wi-Fi channel state information, enabling device-free (passive) sensing for applications such as motion detection, indoor positioning or human activity recognition. ...
Mean curvature, volume and properness of isometric immersions
(American Mathematical Society, 2017)
We explore the relation among volume, curvature and properness
of an
m
-dimensional isometric immersion in a Riemannian manifold. We show
that, when the
L
p
-norm of the mean curvature vector is bounded for ...
A second-order test to detect spatio-temporal anisotropic effects in point patterns
(Taylor & Francis, 2018)
Second-order spatio-temporal orientation methods provide a natural tool for the analysis of anisotropic spatio-temporal point process data. In this paper, we generalize a method based on the spatial point pair orientation ...
A penalized likelihood method for nonseparable space–time generalized additive models
(Springer Verlag, 2018-07)
In this paper, we study space-time generalized additive models. We apply the penalyzed likelihood method to fit generalized additive models (GAMs) for nonseparable spatio-temporal correlated data in order to improve the ...
Geostatistical mixed beta regression: a Bayesian approach
(Springer Verlag, 2017)
This paper develops regression techniques for
geostatistical data, with an emphasis in proportions mea-
sured on a continuous scale. Specifically, it deals with Beta
regression models with mixed effects to control the ...