Exploració per autor "Lisboa, Paulo J.G."
Ara es mostren els items 1-9 de 9
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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)
Text en actes de congrés
Accés obertThe 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
Accés obert -
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 obertThis 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'editorialDriven 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'editorialEvidence-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 obertDimensionality 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 obertThe 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 ...