Recent Submissions

  • Cumulated burden of Covid-19 in Spain from a Bayesian perspective 

    Moriña, David; Fernandez Fontelo, Amanda; Cabaña Nigro, Ana Alejandra; Arratia Quesada, Argimiro Alejandro; Ávalos Villaseñor, Gustavo Eduardo; Puig, Pedro (2021-06-28)
    Article
    Restricted access - publisher's policy
    Background The main goal of this work is to estimate the actual number of cases of Covid-19 in Spain in the period 01-31-2020/06-01-2020 by Autonomous Communities. Based on these estimates, this work allows us to accurately ...
  • kernInt: A kernel framework for integrating supervised and unsupervised analyses in spatio-temporal metagenomic datasets 

    Ramon Gurrea, Elies; Belanche Muñoz, Luis Antonio; Molist Gasa, Francesc; Quintanilla Aguado, Raquel; Pérez Enciso, Miguel; Ramayo Caldas, Yuliaxis (2021-01-28)
    Article
    Open Access
    The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation. In recent years, supervised learning (i.e., prediction of a phenotype ...
  • Clustering assessment in weighted networks 

    Arratia Quesada, Argimiro Alejandro; Renedo Mirambell, Martí (2021-06-18)
    Article
    Open Access
    We provide a systematic approach to validate the results of clustering methods on weighted networks, in particular for the cases where the existence of a community structure is unknown. Our validation of clustering comprises ...
  • Una aplicación para despertar recuerdos y cuidar la salud mental de los mayores 

    Nebot Castells, M. Àngela; Benali, Anass; Múgica Álvarez, Francisco; Albino Pires, Natália; Domenech Pou, Sara (2021-04-15)
    Article
    Open Access
    El incremento de la longevidad de la población, derivado del descenso continuado de las tasas de natalidad y el aumento de la esperanza de vida, está transformando la forma de la pirámide de edad de la Unión Europea. Esta ...
  • Estimating the real burden of disease under a pandemic situation: the SARS-CoV2 case 

    Fernandez Fontelo, Amanda; Moriña, David; Cabaña Nigro, Ana Alejandra; Arratia Quesada, Argimiro Alejandro; Puig, Pedro (Public Library of Science (PLOS), 2020-12-03)
    Article
    Open Access
    The present paper introduces a new model used to study and analyse the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) epidemic-reported-data from Spain. This is a Hidden Markov Model whose hidden layer is a ...
  • Leveraging data science for a personalized haemodialysis 

    Hueso, Miguel; Haro Martín, Luis de; Calabria, Jordi; Dal-Re, R; Tebe, C; Gibert, Karina; Cruzado, Josep M; Vellido Alcacena, Alfredo (Karger, 2020-11)
    Article
    Open Access
    The 2019 Science for Dialysis Meeting at Bellvitge University Hospital was devoted to the challenges and opportunities posed by the use of data science to facilitate precision and personalized medicine in nephrology, and ...
  • Helping decision-makers manage resilience under different climate change scenarios: global vs local 

    Nebot Castells, M. Àngela (2021-02-18)
    Article
    Open Access
    The Intergovernmental Panel on Climate Change (IPCC) fifth assessment report states that warming of the climate system is unequivocal and notes that each of the last three decades has been successively warmer at the Earth’s ...
  • Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction 

    Nuñez Vivero, Luis Miguel; Romero Merino, Enrique; Julia Sape, Margarida; Ledesma Carballo, María Jesús; Santos, Andrés; Arus Caraltó, Carles; Candiota Silveira, Ana Paula; Vellido Alcacena, Alfredo (Nature, 2020-11-12)
    Article
    Open Access
    Glioblastoma is the most frequent aggressive primary brain tumor amongst human adults. Its standard treatment involves chemotherapy, for which the drug temozolomide is a common choice. These are heterogeneous and variable ...
  • An e-Learning toolbox based on rule-based fuzzy approaches 

    Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Castro Espinoza, Félix Agustín (Multidisciplinary Digital Publishing Institute, 2020-09-28)
    Article
    Open Access
    In this paper, an e-Learning toolbox based on a set of fuzzy logic data mining techniques is presented. The toolbox is mainly based on the fuzzy inductive reasoning (FIR) methodology and two of its key extensions: (i) the ...
  • On-the-fly syntheziser programming with fuzzy rule learning 

    Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (2020-08-31)
    Article
    Open Access
    This manuscript explores fuzzy rule learning for sound synthesizer programming within the performative practice known as live coding. In this practice, sound synthesis algorithms are programmed in real time by means of ...
  • On the use of pairwise distance learning for brain signal classification with limited observations 

    Calhas, David; Romero Merino, Enrique; Henriques, Rui (2020-05)
    Article
    Open Access
    The increasing access to brain signal data using electroencephalography creates new opportunities to study electrophysiological brain activity and perform ambulatory diagnoses of neurological disorders. This work proposes ...
  • Integral seismic risk assessment through fuzzy models 

    González Cardenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Multidisciplinary Digital Publishing Institute, 2020-04-26)
    Article
    Open Access
    The usage of indicators as constituent parts of composite indices is an extended practice in many fields of knowledge. Even if rigorous statistical analyses are implemented, many of the methodologies follow simple arithmetic ...

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