sample of publications
-
articles
- COCOA: Cost-Optimized COunterfactuAl explanation method. INFORMATION SCIENCES. 670:1-15. 2024
- One-step Bayesian example-dependent cost classification: The OsC-MLP method. NEURAL NETWORKS. 173:1-10. 2024
- Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost. PATTERN RECOGNITION. 137:1-10. 2023
- Imbalance example-dependent cost classification: A Bayesian based method. EXPERT SYSTEMS WITH APPLICATIONS. 213:1-13. 2023
- A Bayes risk minimization machine for example-dependent cost classification. IEEE Transactions on Cybernetics. 51:3524-3534. 2021
- Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification. INFORMATION SCIENCES. 520:31-45. 2020
- Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows. PATTERN RECOGNITION. 77:204-215. 2018
- Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. PATTERN RECOGNITION. 70:12-24. 2017
- Decentralized detection for censored binary observations with statistical dependence. SIGNAL PROCESSING. 123:112-121. 2016
- Closed-Form Error Exponent for the Neyman-Pearson Fusion of Dependent Local Decisions in a One-Dimensional Sensor Network. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 59:1239-1254. 2011
- Blind Equalization Using the IRWLS Formulation of the Support Vector Machine. SIGNAL PROCESSING. 89:1436-1445. 2009
- Optimal Sensor Selection in Binary Heterogeneous Sensor Networks. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 57:1577-1587. 2009
-
conference contributions
- A principled two-step method for example-dependent cost binary classification. 13-22. 2019
- Classification in binary imbalanced data using a Bayesian ensemble of Bayesian neural networks. 304-314. 2015
- Optimal Neyman-Pearson fusion in two-dimensional sensor networks with serial architecture and dependent observations 2011
- Decentralized Detection in a Dense Wireless Sensor Network with Correlated Observations 2008