Exploració per autor "Lisboa, Paulo J.G."

Ara es mostren els items 3-9 de 9

    • Data mining in cancer research 

      Lisboa, Paulo J.G.; Vellido Alcacena, Alfredo; Tagliaferri, Roberto; Napolitano, Francesco; Ceccarelli, Michelle; Martín Guerrero, José D.; Biganzoli, Elia (2010-02)
      Article
      Accés obert
      This article is not intended as a comprehensive survey of data mining applications in cancer. Rather, it provides starting points for further, more targeted, literature searches, by embarking on a guided tour of computational ...

    • Discovering hidden pathways in bioinformatics 

      Lisboa, Paulo J.G.; Jarman, Ian H.; Etchells, Terence A.; Chambers, Simon J.; Bacciu, Davide; Whittaker, Joe; Garibaldi, Jon M.; Ortega Martorell, Sandra; Vellido Alcacena, Alfredo; Ellis, Ian O. (Springer, 2012)
      Capítol de llibre
      Accés restringit per política de l'editorial

    • Investigating human cancer with computational intelligence techniques 

      Vellido Alcacena, Alfredo; Lisboa, Paulo J.G. (Future Technology Press, 2009-01-31)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Driven by the growing demand of personalization of medical procedures, data-based, computer-aided cancer research in human patients is advancing at an accelerating pace, providing a broadening landscape of opportunity ...

    • Machine learning in human cancer research 

      Vellido Alcacena, Alfredo; Lisboa, Paulo J.G. (Nova Science Publishers, 2007)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Evidence-based medicine has grown in stature over three decades and is now regarded a key development of modern medicine. The evidence base can be heterogeneous, involving both qualitative knowledge and measured quantitative ...

    • Making machine learning models interpretable 

      Vellido Alcacena, Alfredo; Martin Guerrero, Jose D.; Lisboa, Paulo J.G. (2012)
      Text en actes de congrés
      Accés restringit per política de l'editorial

    • Making nonlinear manifold learning models interpretable: the manifold grand tour 

      Lisboa, Paulo J.G.; Martin, Jose D.; Vellido Alcacena, Alfredo (2015-12)
      Article
      Accés obert
      Dimensionality reduction is required to produce visualisations of high dimensional data. In this framework, one of the most straightforward approaches to visualising high dimensional data is based on reducing complexity ...

    • Seeing is believing: the importance of visualization in real-world machine learning applications 

      Vellido Alcacena, Alfredo; Martín, José David; Rossi, Fabrice; Lisboa, Paulo J.G. (2011)
      Text en actes de congrés
      Accés obert
      The increasing availability of data sets with a huge amount of information, coded in many diff erent features, justifi es the research on new methods of knowledge extraction: the great challenge is the translation of the ...