Now showing items 5-9 of 9

  • Investigating human cancer with computational intelligence techniques 

    Vellido Alcacena, Alfredo; Lisboa, Paulo J.G. (Future Technology Press, 2009-01-31)
    Part of book or chapter of book
    Restricted access - publisher's policy
    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)
    Part of book or chapter of book
    Restricted access - publisher's policy
    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)
    Conference report
    Restricted access - publisher's policy
  • Making nonlinear manifold learning models interpretable: the manifold grand tour 

    Lisboa, Paulo J.G.; Martin, Jose D.; Vellido Alcacena, Alfredo (2015-12)
    Article
    Restricted access - publisher's policy
    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)
    Conference report
    Open Access
    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 ...