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Efficient Processing of Raster and Vector Data
(Public Library of Science, 2020-01-10)
[Abstract] In this work, we propose a framework to store and manage spatial data, which includes new efficient algorithms to perform operations accepting as input a raster dataset and a vector dataset. More concretely, we ...
Compressed Data Structures for Binary Relations in Practice
(Institute of Electrical and Electronics Engineers, 2020-01-31)
[Abstract] Binary relations are commonly used in Computer Science for modeling data. In addition to classical representations using matrices or lists, some compressed data structures have recently been proposed to represent ...
From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas
(Frontiers Research Foundation, 2020-09-10)
[Abstract] In this article, we present a hybrid method to create fine-grained parcellations of the cortical surface, from a coarse-grained parcellation according to an anatomical atlas, based on cortico-cortical connectivity. ...
Exploiting Computation-Friendly Graph Compression Methods for Adjacency-Matrix Multiplication
(IEEE Computer Society, 2018-03)
[Abstract] Computing the product of the (binary) adjacency matrix of a large graph with a real-valued vector is an important operation that lies at the heart of various graph analysis tasks, such as computing PageRank. In ...
Modeling the Number of People Infected With SARS-COV-2 From Wastewater Viral Load in Northwest Spain
(Elsevier, 2022)
[Abstract] The quantification of the SARS-CoV-2 RNA load in wastewater has emerged as a useful tool to monitor COVID–19 outbreaks in the community. This approach was implemented in the metropolitan area of A Coruña (NW ...