• A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC  (article)

  Liu, Yanfang ; Martínez Olmos, Pablo ; Koch, Tobias Mirco

  2019-08

  Liu,Y., Olmos, P. M. y Koch, T. (2019). A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC. IEEE Transactions on Information Theory, 65(8).
• Likelihood ratio equivalence and imbalanced binary classification  (article)

  Benítez Buenache, Alexander; Álvarez Pérez, Lorena ; Mathews, V. John; Figueiras Vidal, Aníbal Ramón

  2019-09-15

  Benítez-Buenache, A., Álvarez-Pérez, L., Mathews, V. J. y Figuieras-Vidal, A.R. (2019). Likelihood ratio equivalence and imbalanced binary classification. Expert Systems with Applications, 130, pp. 84-96.
• On building ensembles of stacked denoising auto-encoding classifiers and their further improvement  (article)

  Alvear Sandoval, Ricardo Fernando; Figueiras Vidal, Aníbal Ramón

  2018-01

  Alvear Sandoval, R. F. y Figueiras Vidal, A. R. (2018). On building ensembles of stacked denoising auto-encoding classifiers and their further improvement. Information Fusion, 39, pp. 41-52.
• Boosting ensembles with controlled emphasis intensity  (article)

  Ahachad, Anas ; Álvarez Pérez, Lorena ; Figueiras Vidal, Aníbal Ramón

  2017-03

  Ahachad, A., Lorena Álvarez-Pérez, L. y Aníbal Figuieras- Vidal, A. R. (2017). Boosting ensembles with controlled emphasis intensity. Pattern Recognition Letters, 88, pp. 1-5
• Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows  (article)

  Lázaro Teja, Marcelino ; Hayes, Monson H.; Figueiras Vidal, Aníbal Ramón

  2018-05-01

  Lázaro, M., Hayes, M.H. y Figueiras Vidal, A.R. (2018). Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows. Pattern Recognition, 77, pp. 204-215.

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