Exploració per autor "Olier Caparroso, Iván"

Ara es mostren els items 1-10 de 10

    • A probabilistic approach to the visual exploration of G protein-coupled receptor sequences 

      Vellido Alcacena, Alfredo; Cárdenas, Martha Ivón; Olier Caparroso, Iván; Rovira, Xavier; Giraldo, Jesús (2011)
      Text en actes de congrés
      Accés obert
      The study of G protein-coupled receptors (GPCRs) is of great interest in pharmaceutical research, but only a few of their 3D structures are known at present. On the contrary, their amino acid sequences are known and ...

    • A variational Bayesian formulation for GTM: Theoretical foundations 

      Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2007-09)
      Report de recerca
      Accés obert
      Generative Topographic Mapping (GTM) is a non-linear latent variable model of the manifold learning family that provides simultaneous visualization and clustering of high-dimensional data. It was originally formulated as ...

    • A variational formulation for GTM through time 

      Olier Caparroso, Iván; Vellido Alcacena, Alfredo (IEEE, 2008)
      Text en actes de congrés
      Accés obert
      Generative Topographic Mapping (GTM) is a latent variable model that, in its original version, was conceived to provide clustering and visualization of multivariate, realvalued, i.i.d. data. It was also extended to deal ...

    • A variational formulation for GTM through time: Theoretical foundations 

      Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2007-10)
      Report de recerca
      Accés obert
      Generative Topographic Mapping (GTM) is a latent variable model that, in its standard version, was conceived to provide clustering and visualization of multivariate, real-valued, i.i.d. data. It was also extended to deal ...

    • Advances in clustering and visualization of time series using GTM through time 

      Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2008-09)
      Article
      Accés restringit per política de l'editorial
      Most of the existing research on multivariate time series concerns supervised forecasting problems. In comparison, little research has been devoted to their exploration through unsupervised clustering and visualization. ...

    • Clustering and visualization of multivariate time series 

      Vellido Alcacena, Alfredo; Olier Caparroso, Iván (Information Science Reference, 2009)
      Capítol de llibre
      Accés restringit per política de l'editorial
      The exploratory investigation of multivariate time series (MTS) may become extremely difficult, if not impossible, for high dimensional datasets. Paradoxically, to date, little research has been conducted on the exploration ...

    • Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous 

      Ungan, Gülnur; Pons Escoda, Albert; Ulinic, Daniel; Arus Caraltó, Carles; Ortega Martorell, Sandra; Olier Caparroso, Iván; Vellido Alcacena, Alfredo; Majós, Carles; Julia Sape, Margarida (John Wiley & sons, 2024-01-11)
      Article
      Accés obert
      The standard treatment in glioblastoma includes maximal safe resection followed by concomitant radiotherapy plus chemotherapy and adjuvant temozolomide. The first follow-up study to evaluate treatment response is performed ...

    • Kernel generative topographic mapping of protein sequences 

      Cárdenas, Martha Ivón; Vellido Alcacena, Alfredo; Olier Caparroso, Iván; Rovira, Xavier; Giraldo, Jesús (IGI Global, 2012-06)
      Capítol de llibre
      Accés restringit per política de l'editorial

    • On the benefits for model regularization of a variational formulation of GTM 

      Olier Caparroso, Iván; Vellido Alcacena, Alfredo (IEEE, 2008)
      Text en actes de congrés
      Accés obert
      Generative Topographic Mapping (GTM) is a manifold learning model for the simultaneous visualization and clustering of multivariate data. It was originally formulated as a constrained mixture of distributions, for which ...

    • Variational Bayesian generative topographic mapping 

      Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2008-12)
      Article
      Accés restringit per política de l'editorial
      General finite mixture models are powerful tools for the density-based grouping of multivariate i.i.d. data, but they lack data visualization capabilities, which reduces their practical applicability to real-world problems. ...