Juan Diego Rodríguez

Multi-Objective Learning of Multi-Dimensional Bayesian Classifiers

José Antonio Lozano, Juan Diego Rodríguez, J. A. Lozano, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Analysis of the Univariate Marginal Distribution Algorithm Modeled by Markov Chains

Pedro Larrañaga, José Antonio Lozano, Cristina González, 2003, IWANN.

A general framework for the statistical analysis of the sources of variance for classification error estimators

José Antonio Lozano, Aritz Pérez Martínez, Juan Diego Rodríguez, 2013, Pattern Recognit..

Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers

Iñaki Inza, José Antonio Lozano, Juan Diego Rodríguez, 2012, Neurocomputing.

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

José Antonio Lozano, Aritz Pérez Martínez, Juan Diego Rodríguez, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Semi-supervised Approach to Multi-dimensional Classification with Application to Sentiment Analysis

Iñaki Inza, Juan Diego Rodríguez, Jonathan Ortigosa-Hernández, 2010 .

Transfer Learning for Entity Recognition of Novel Classes

Alexander Liu, Juan Diego Rodríguez, Adam Caldwell, 2018, COLING.

Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis

José Antonio Lozano, Aritz Pérez Martínez, Juan Diego Rodríguez, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2013, Environ. Model. Softw..

Forecasting recruitment of multiple fish species using multi-dimensional Bayesian network classifiers.

Jose A. Lozano, Iñaki Inza, Juan Diego Rodríguez, 2013 .