Browsing by Author "Lisboa, Paulo J.G."

Now showing items 1-9 of 9

    • Classification, dimensionality reduction, and maximally discriminatory visualization of a multicentre 1H-MRS database of brain tumors 

      Lisboa, Paulo J.G.; Romero Merino, Enrique; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles (IEEE, 2008)
      Conference report
      Open Access
      The combination of an Artificial Neural Network classifier, a feature selection process, and a novel linear dimensionality reduction technique that provides a data projection for visualization and which preserves completely ...

    • Convex non-negative matrix factorization for brain tumor delimitation from MRSI data 

      Ortega Martorell, Sandra; Lisboa, Paulo J.G.; Vellido Alcacena, Alfredo; Simoes, Rui V.; Pumarola, Martí; Julià Sapé, Margarida; Arús, Carles (2012-10-23)
      Article
      Open Access

    • 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
      Open Access
      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)
      Part of book or chapter of book
      Restricted access - publisher's policy

    • 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
      Open Access
      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 ...