Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost von Lázaro, Marcelino, Figueiras-Vidal, Aníbal R.

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COCOA: Cost-Optimized COunterfactuAl explanation method von Mediavilla-Relaño, Javier, Lázaro, Marcelino

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One-step Bayesian example-dependent cost classification: The OsC-MLP method von Mediavilla-Relaño, Javier, Lázaro, Marcelino

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Decentralized detection for censored binary observations with statistical dependence von Lazaro, Marcelino

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Imbalance example-dependent cost classification: A Bayesian based method von Mediavilla-Relaño, Javier, Lázaro, Marcelino, Figueiras-Vidal, Aníbal R.

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Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification von Lázaro, Marcelino, Herrera, Francisco, Figueiras-Vidal, Aníbal R.

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A Bayes Risk Minimization Machine for Example-Dependent Cost Classification von Lazaro, Marcelino, Figueiras-Vidal, Anibal R.

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Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows von Lázaro, Marcelino, Hayes, Monson H., Figueiras-Vidal, Aníbal R.

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Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets von Gónzalez, Sergio, García, Salvador, Lázaro, Marcelino, Figueiras-Vidal, Aníbal R., Herrera, Francisco

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Stochastic blind equalization based on PDF fitting using Parzen estimator von Lazaro, M., Santamaria, I., Erdogmus, D., Hild, K.E., Pantaleon, C., Principe, J.C.

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A new EM-based training algorithm for RBF networks von LAZARO, Marcelino, SANTAMARIA, Ignacio, PANTALEON, Carlos

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Spatial analysis on the risk of bovine cysticercosis occurrence in the state of Espírito Santo, Brazil von de Avelar, Barbara Rauta, Marcelino, Lazaro Corrêa, de Campos, Rafael Ferraço, Santos, Alexandre Rosa dos, Martins, Isabella Vilhena Freire

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Blind equalization using the IRWLS formulation of the support vector machine von Lazaro, Marcelino, Gonzalez-Olasola, Jonathan

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Optimal Sensor Selection in Binary Heterogeneous Sensor Networks von Lazaro, M., Sanchez-Fernandez, M., Artes-Rodriguez, A.

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Closed-Form Error Exponent for the Neyman-Pearson Fusion of Dependent Local Decisions in a One-Dimensional Sensor Network von Plata-Chaves, J, Lázaro, M

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A Principled Two-Step Method for Example-Dependent Cost Binary Classification von Mediavilla-Relaño, Javier, Gutiérrez-López, Aitor, Lázaro, Marcelino, Figueiras-Vidal, Aníbal R.

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Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives von Lázaro, Marcelino, Santamaría, Ignacio, Pérez-Cruz, Fernando, Artés-Rodríguez, Antonio

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Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks von LAZARO, Marcelino, SANTAMARIA, Ignacio, PANTALEON, Carlos

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Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation von Erdogmus, D., Hild, K.E., Principe, J.C., Lazaro, M., Santamaria, I.

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Optimal Sensor Selection in Heterogeneous Sensor Networks von Lazaro, Marcelino, Artes-Rodriguez, Antonio

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