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Listar por autor "Sillero Denamiel, María Remedios"                

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    • Artículo
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      A cost-sensitive constrained Lasso 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Springer, 2020-03-02)
      The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. ...
    • Trabajo Fin de Máster
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      A new multivariate data analysis model: constrained Naïve Bayes 

      Sillero Denamiel, María Remedios (2016-06-24)
    • Tesis Doctoral
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      Computational Methods for the Analysis of Complex Data 

      Sillero Denamiel, María Remedios (2021-07-07)
      This PhD dissertation bridges the disciplines of Operations Research and Statistics to develop novel computational methods ...
    • Artículo
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      Constrained Naïve Bayes with application to unbalanced data classification 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Springer, 2021-09-15)
      The Naïve Bayes is a tractable and efficient approach for statistical classification. In general classification problems, ...
    • Artículo
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      On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Chis, Oana; Esteban, Noemí; Jiménez Cordero, María Asunción; Rodríguez, José Francisco; Sillero Denamiel, María Remedios (ACS, 2016-11-09)
      A fundamental problem in the analysis of chemical reactions networks consists of identifying concentration values along ...
    • Artículo
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      The tree based linear regression model for hierarchical categorical variables 

      Carrizosa Priego, Emilio José; Hvas Mortensen, Laust; Romero Morales, María Dolores; Sillero Denamiel, María Remedios (Elsevier, 2022-05-04)
      Many real-life applications consider nominal categorical predictor variables that have a hierarchical structure, e.g. ...
    • Artículo
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      Variable selection for Naïve Bayes classification 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Pergamon-Elsevier Science Ltd., 2021-07-06)
      The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ...
    • Artículo
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      Variable selection for Naïve Bayes classification 

      Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa; Sillero Denamiel, María Remedios (Elsevier, 2021)
      The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ...