Search Results - "Moran Fernandez, L"

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  1. 1

    Can classification performance be predicted by complexity measures? A study using microarray data by Morán-Fernández, L., Bolón-Canedo, V., Alonso-Betanzos, A.

    Published in Knowledge and information systems (01-06-2017)
    “…Data complexity analysis enables an understanding of whether classification performance could be affected, not by algorithm limitations, but by intrinsic data…”
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    Journal Article
  2. 2

    Feature selection for domain adaptation using complexity measures and swarm intelligence by Castillo-García, G., Morán-Fernández, L., Bolón-Canedo, V.

    Published in Neurocomputing (Amsterdam) (01-09-2023)
    “…[Display omitted] •Particle Swarm Optimization can be used to perform feature selection for domain adaptation.•It has been previously applied using classifiers…”
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    Journal Article
  3. 3

    Centralized vs. distributed feature selection methods based on data complexity measures by Morán-Fernández, L., Bolón-Canedo, V., Alonso-Betanzos, A.

    Published in Knowledge-based systems (01-02-2017)
    “…•A methodology for distributing the process of feature selection based on several data complexity measures is proposed.•We tackled the two strategies to…”
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    Journal Article
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    Meteorin-like plasma levels as a novel biomarker for heart failure by Anido Varela, L, Aragon-Herrera, A, Tarazon, E, Sole-Gonzalez, E, Martinez-Selles, M, Guerra-Ramos, J M, Carrasquer, A, Moran-Fernandez, L, Feijoo-Bandin, S, Morana-Fernandez, S, Gonzalez Maestro, A, Garcia-Vega, D, Portoles, M, Lago-Paz, F, Gonzalez-Juanatey, J R

    Published in European heart journal (09-11-2023)
    “…Abstract Introduction Meteorin-like (metrnl), a new adipokine with insulin-sensitizing and anti-inflammatory action, has recently drawn much attention due to…”
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    Journal Article
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    On the use of different base classifiers in multiclass problems by Morán-Fernández, L., Bolón-Canedo, V., Alonso-Betanzos, A.

    Published in Progress in artificial intelligence (01-12-2017)
    “…Classification problems with more than two classes can be handled in different ways. The most used approach is the one which transforms the original multiclass…”
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    Journal Article
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