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A Distance-based Method for Spatial Prediction in the Presence of Trend
(SpringerInternational Biometric Society, 2020-06-01)
A new method based on distances for modeling continuous random data in Gaussian random fields is presented. In non-stationary cases in which a trend or drift is present, dealing with information in regionalized mixed ...
Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era
(MDPI, 2020-09-23)
Some of the recent developments in data science for worldwide disease control have
involved research of large-scale feasibility and usefulness of digital contact tracing, user location
tracking, and proximity detection ...
A geotagged image dataset with compass directions for studying the drivers of farmland abandonment
(Elsevier, 2020-12)
In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass ...
Roadmap on 3D integral imaging: sensing, processing, and display
(Optical Society of America, 2020)
This Roadmap article on three-dimensional integral imaging provides an overview
of some of the research activities in the field of integral imaging. The article discusses various
aspects of the field including sensing ...
A scoping review on the use, processing, and fusion of geographic data in virtual assistants
(Wiley, 2021)
Virtual assistants are a growing area of research in academia and industry with an impact on people’s daily life. Many disciplines in science are moving towards the incorporation of intelligent virtual ...
Space-time autoregressive estimation and prediction with missing data based on Kalman filtering
(Wiley, 2020-11)
We propose a Kalman filter algorithm to provide a formal statistical analysis of space‐time data with an autoregressive structure in time. The Kalman filter technique allows to capture the temporal dependence as well as ...
Glimpse: A gaze-based measure of temporal salience
(Multidisciplinary Digital Publishing Institute, 2021-04-29)
Temporal salience considers how visual attention varies over time. Although visual salience
has been widely studied from a spatial perspective, its temporal dimension has been mostly ignored,
despite arguably being of ...
A New Under-Sampling Method to Face Class Overlap and Imbalance
(MDPI, 2020-07-07)
Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance. Several solutions ...
Weighted Complete Graphs for Condensing Data
(Elsevier B.V., 2020-12-01)
In many real-world problems (such as industrial applications, chemistry models, social network analysis,
among others), their solution can be obtained by transforming the problem in terms of vertices and edges,
that is ...
Multimodal Sensor Data Integration for Indoor Positioning in Ambient-Assisted Living Environments
(Hindawi, 2020)
A reliable Indoor Positioning System (IPS) is a crucial part of the Ambient-Assisted Living (AAL) concept. The use of Wi-Fi fingerprinting techniques to determine the location of the user, based on the Received Signal ...