• 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 ...