Recent Submissions

  • Uncovering de novo gene birth in yeast using deep transcriptomics 

    Blevins, William R.; Ruiz Orera, Jorge; Messeguer Peypoch, Xavier; Blasco Moreno, Bernat; Villanueva Cañas, José Luis; Espinar Calvo, Lorena; Díez Antón, Juana; Carey, Lucas B.; Albà Soler, M. Mar (2021-01-27)
    Article
    Open Access
    De novo gene origination has been recently established as an important mechanism for the formation of new genes. In organisms with a large genome, intergenic and intronic regions provide plenty of raw material for new ...
  • Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain 

    Pérez Arnal, Raquel; Conesa Ortega, David; Álvarez Napagao, Sergio; Suzumura, Toyotaro; Català Sabaté, Martí; Álvarez Lacalle, Enrique; Garcia Gasulla, Dario (Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-13)
    Article
    Open Access
    The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility ...
  • Three-dimensional game-based cardiopulmonary bypass training 

    Bonet Codina, Núria; Von Barnekow, Ariel; Mata Forcadas, Maria Teresa; Gomar, Carmen; Tost Pardell, Daniela (2021-01)
    Article
    Open Access
    Background: Cardiopulmonary bypass is a specialized technique requiring high technical skills and generic competencies. Methods: The Virtual Perfusionist is a 3-dimensional serious game for training nurses in cardiopulmonary ...
  • 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 ...
  • From bilingual to multilingual neural-based machine translation by incremental training 

    Escolano Peinado, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2020-08-02)
    Article
    Open Access
    A common intermediate language representation in neural machine translation can be used to extend bilingual systems by incremental training. We propose a new architecture based on introducing an interlingual loss as an ...
  • Converses al voltant de la intel·ligència artificial en clau catalana 

    Ruiz Costa-Jussà, Marta; Melero Nogues, Maite (2020-12)
    Article
    Open Access
    La intel·ligència artificial mou milions d’euros i ocupa una part important de les agendes polítiques i estratègiques dels governs. En aquest article reflexionem sobre aquest concepte difús i ho fem a través de tres ...
  • AMALEU: una representación universal del lenguaje basada en aprendizaje automático 

    Ruiz Costa-Jussà, Marta (2020-09)
    Article
    Open Access
    El objetivo del proyecto AMALEU es aprender una representación común para diferentes idiomas. Se pretende tener una representación común para la lengua oral y una para la lengua escrita. AMALEU, de dos años de duración, ...
  • Multilingual and interlingual semantic representations for natural language processing: a brief introduction 

    Ruiz Costa-Jussà, Marta; España-Bonet, Cristina; Fung, Pascale; Smith, Noah (2020)
    Article
    Open Access
    We introduce the Computational Linguistics special issue on Multilingual and Interlingual Semantic Representations for Natural Language Processing. We situate the special issue’s five articles in the context of our ...
  • Alignment of virus-host protein-protein interaction networks by integer linear programming: SARS-CoV-2 

    Llabrés Segura, Mercè; Valiente Feruglio, Gabriel Alejandro (Public Library of Science (PLOS), 2020-12-07)
    Article
    Open Access
    Motivation: Beside socio-economic issues, coronavirus pandemic COVID-19, the infectious disease caused by the newly discovered coronavirus SARS-CoV-2, has caused a deep impact in the scientific community, that has ...
  • 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 ...
  • Anti-alignments—Measuring the precision of process models and event logs 

    Chatain, Thomas; Boltenhagen, Mathilde; Carmona Vargas, Josep (2021-05-01)
    Article
    Restricted access - publisher's policy
    Processes are a crucial artifact in organizations, since they coordinate the execution of activities so that products and services are provided. The use of models to analyze the underlying processes is a well-known practice. ...
  • Allocation of applications to Fog resources via semantic clustering techniques: with scenarios from intelligent transportation systems 

    Xhafa Xhafa, Fatos; Aly, Alhassan; Juan, Angel (Springer Nature, 2021-03)
    Article
    Restricted access - publisher's policy
    The fast development in IoT and Cloud technologies has propelled the emergence of a variety of computing paradigms, among which Fog and Edge computing are salient computing technologies. Such new paradigms are opening up ...

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