Now showing items 1-20 of 32

    • A Compact Representation of Indoor Trajectories 

      Fariña, Antonio; Gutiérrez-Asorey, Pablo; Ladra, Susana; Penabad, Miguel R.; Varela Rodeiro, Tirso (IEEE, 2022-01)
      [Abstract]: We present a system that combines indoor positioning with a compression algorithm for trajectories in the context of a nursing home. Our aim is to gather and effectively represent the location of the residents ...
    • A practical succinct dynamic graph representation 

      Coimbra, Miguel E.; Hrotkó, Joana; Francisco, Alexandre P.; Russo, Luís M.S.; Bernardo, Guillermo de; Ladra, Susana; Navarro, Gonzalo (Elsevier Inc., 2022-05)
      [Abstract]: We address the problem of representing dynamic graphs using k2-trees. The k2-tree data structure is one of the succinct data structures proposed for representing static graphs, and binary relations in general. ...
    • Algorithms and compressed data structures for information retrieval 

      Ladra, Susana (2011)
      [Abstract] In this thesis we address the problem of the efficiency in Information Retrieval by presenting new compressed data structures and algorithms that can be used in different application domains and achieve ...
    • Augmented Thresholds for MONI 

      Martínez-Guardiola, César; Brown, Nathaniel K.; Silva-Coira, Fernando; Köppl, Dominik; Gagie, Travis; Ladra, Susana (Institute of Electrical and Electronics Engineers Inc., 2023)
      [Abstract]: MONI (Rossi et al., 2022) can store a pangenomic dataset T in small space and later, given a pattern P, quickly find the maximal exact matches (MEMs) of P with respect to T. In this paper we consider its one-pass ...
    • Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information 

      Vázquez, Andrea; López-López, Narciso; Houenou, Josselin; Poupon, Cyril; Mangin, Jean-François; Ladra, Susana; Guevara, Pamela (BioMed Central Ltd., 2020-06-03)
      [Abstract] Background Diffusion MRI is the preferred non-invasive in vivo modality for the study of brain white matter connections. Tractography datasets contain 3D streamlines that can be analyzed to study the main ...
    • Automation Proposal for the Intermediate Steps in the 16S FFPE Samples Analysis Pipeline 

      Martín de Arribas, Elsa; Conde-Pérez, Kelly; Aja-Macaya, Pablo; Vallejo, J.A.; Poza, Margarita; Ladra, Susana (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] In the day-to-day work of bioinformatics, the use of integrated software packages, which encompass a wide range of tools, enables the development of pipelines for omics data analysis. Within the various existing ...
    • Building-Scale Wastewater-Based Epidemiology for SARS-CoV-2 Surveillance at Nursing Homes in A Coruña, Spain 

      Trigo-Tasende, Noelia; Vallejo, J.A.; Rumbo-Feal, Soraya; Conde-Pérez, Kelly; Nasser-Ali, Mohammed; Tarrío-Saavedra, Javier; Barbeito, Inés; Cao, Ricardo; Ladra, Susana; Bou, Germán; Poza, Margarita (MDPI, 2023-11)
      [Abstract] Wastewater-based epidemiology (WBE) has become an effective tool in the surveillance of infectious diseases such as COVID-19. In this work, we performed a brief study of monitoring the SARS-CoV-2 viral load ...
    • Compact and indexed representation for LiDAR point clouds 

      Ladra, Susana; Rodríguez Luaces, Miguel; Paramá, José R.; Silva-Coira, Fernando (Taylor & Francis, 2022)
      [Abstract]: LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around them, and adding additional attributes to each point such as color, position, time, etc. LiDAR datasets are usually large, ...
    • Compact structure for sparse undirected graphs based on a clique graph partition 

      Glaria, Felipe; Hernández, Cecilia; Ladra, Susana; Navarro, Gonzalo; Salinas, Lilian (Elsevier Inc., 2021-01-12)
      [Abstract]: Compressing real-world graphs has many benefits such as improving or enabling the visualization in small memory devices, graph query processing, community search, and mining algorithms. This work proposes a ...
    • Compressed Data Structures for Binary Relations in Practice 

      Quijada Fuentes, Carlos; Penabad, Miguel R.; Ladra, Susana; Gutiérrez Retamal, Gilberto (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 ...
    • Dispersal history of SARS-CoV-2 in Galicia, Spain 

      Gallego-García, Pilar; Estévez‐Gómez, Nuria; Alvariño Alvariño, Pilar; Torres‐Beceiro, Isabel; Poza, Margarita; Vallejo, J.A.; Rumbo-Feal, Soraya; Conde-Pérez, Kelly; Aja-Macaya, Pablo; Ladra, Susana (John Wiley and Sons Inc, 2024-07)
      [Abstract]: The dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission are influenced by a variety of factors, including social restrictions and the emergence of distinct variants. In this ...
    • Dispersal history of SARS-CoV-2 in Galicia, Spain 

      Gallego-García, Pilar; Estévez-Gómez, Nuria; De Chiara, Loretta; Alvariño, Pilar; Juiz-González, Pedro M.; Torres-Beceiro, Isabel; Poza, Margarita; Vallejo, Juan A.; Rumbo-Feal, Soraya; Conde-Pérez, Kelly; Aja-Macaya, Pablo; Ladra, Susana; Moreno-Flores, Antonio; Gude-González, María J.; Coira, Amparo; Aguilera, Antonio; Costa-Alcalde, José J.; Trastoy, Rocío; Barbeito-Castiñeiras, Gema; García-Souto, Daniel; Tubio, José M.C.; Trigo-Daporta, Matilde; Camacho-Zamora, Pablo; García-Costa, Juan; González-Domínguez, María; Canoura-Fernández, Luis; Glez-Peña, Daniel; Pérez-Castro, Sonia; Cabrera, Jorge J.; Daviña-Núñez, Carlos; Godoy-Diz, Montserrat; Treinta-Álvarez, Ana Belén; Veiga, María Isabel; Sousa, Joao Carlos; Osório, Nuno S.; Comas, Iñaki; González-Candelas, Fernando; Hong, Samuel L.; Bollen, Nena; Dellicour, Simon; Baele, Guy; Suchard, Marc A.; Lemey, Philippe; Agulla, Andrés; Bou, Germán; Alonso-García, Pilar; Pérez-del-Molino, María Luisa; García-Campello, Marta; Paz-Vidal, Isabel; Regueiro, Benito; Posada, David (John Wiley & Sons, 2024-06-28)
      [Abstract] The dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission are influenced by a variety of factors, including social restrictions and the emergence of distinct variants. In this ...
    • Efficient Processing of Raster and Vector Data 

      Silva-Coira, Fernando; Paramá, José R.; Ladra, Susana; López, Juan R.; Gutiérrez, Gilberto (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 ...
    • Energy Consumption in Compact Integer Vectors: A Study Case 

      Fuentes Sepúlveda, José; Ladra, Susana (Institute of Electrical and Electronics Engineers, 2019-10-25)
      [Abstract] In the field of algorithms and data structures analysis and design, most of the researchers focus only on the space/time trade-off, and little attention has been paid to energy consumption. Moreover, most of the ...
    • Experiencias y resultados para facilitar la compatibilización de un máster interuniversitario con un trabajo a tiempo completo 

      Cortiñas, Alejandro; González-Jorge, Higinio; Ladra, Susana; Rodríguez Luaces, Miguel (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)
      [Resumen]: Presentamos un Máster interuniversitario en Geoinformática, impartido por las universidades de A Coruña y Vigo, y diseñado para que el alumno trabajador pueda seguir las clases. El máster se basa en el uso de ...
    • Exploiting Computation-Friendly Graph Compression Methods for Adjacency-Matrix Multiplication 

      Francisco, Alexandre P.; Gagie, Travis; Ladra, Susana; Navarro, Gonzalo (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 ...
    • Faster compressed quadtrees 

      Bernardo, Guillermo de; Gagie, Travis; Ladra, Susana; Navarro, Gonzalo; Seco, Diego (Elsevier B.V., 2023-02)
      [Abstract]: Real-world point sets tend to be clustered, so using a machine word for each point is wasteful. In this paper we first show how a compact representation of quadtrees using O(1) bits per node can break this bound ...
    • Fed-mRMR: A lossless federated feature selection method 

      Hermo González, Jorge; Bolón-Canedo, Verónica; Ladra, Susana (Elsevier, 2024-05)
      [Abstract]: Feature selection has become a mandatory task in data mining, due to the overwhelming amount of features in Big Data problems. To handle this high-dimensional data and avoid the well-known curse of dimensionality, ...
    • From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas 

      López-López, Narciso; Vázquez, Andrea; Houenou, Josselin; Poupon, Cyril; Mangin, Jean-François; Ladra, Susana; Guevara, Pamela (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. ...
    • Graph Compression for Adjacency-Matrix Multiplication 

      Francisco, Alexandre P.; Gagie, Travis; Köppl, Dominik; Ladra, Susana; Navarro, Gonzalo (Springer, 2022)
      [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 ...