Evolución de la producción científica

Producción periodo seleccionado
35
  • Libro 1
  • Capítulo de libro 2
  • Publicación en revista 29
  • Producción académica 3

Listado de producción

Listando 36 resultados
Titulo Año Tipo

A new label ordering method in Classifier Chains based on imprecise probabilities

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García
2022 Articulo

Using extreme prior probabilities on the Naive Credal Classifier

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García
2022 Articulo

A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García, María Dolores Benítez Benítez Estévez
2021 Articulo

Non-parametric predictive inference for solving multi-label classification

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García
2020 Articulo

On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García
2020 Articulo

On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier

CARLOS JAVIER MANTAS RUIZ, Francisco Javier García Castellano
2020 Articulo

Bagging of credal decision trees for imprecise classification

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García, María Dolores Benítez Benítez Estévez
2020 Articulo

Combining gene expression data and prior knowledge for inferring gene regulatory networks via Bayesian networks using structural restrictions

LUIS MIGUEL DE CAMPOS IBAÑEZ, ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, Francisco Javier García Castellano
2019 Articulo

Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García
2019 Articulo

A comparison of random forest based algorithms: random credal random forest versus oblique random forest

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García
2019 Articulo

AdaptativeCC4.5: Credal C4.5 with a rough class noise estimator

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano
2018 Articulo

Increasing diversity in Random Forest learning algorithm via imprecise probabilities

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García
2018 Articulo

Using Credal-C4.5 with Binary Relevance for Multi-Label Classification

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, Serafín Moral García
2018 Articulo

A comparative study on base classifiers in ensemble methods for credit scoring

JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano
2017 Articulo

Extraction of decision rules via imprecise probabilities

JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, LAURA GARACH MORCILLO
2017 Articulo

Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy

JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano
2017 Articulo

A Random Forest approach using imprecise probabilities

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano
2017 Articulo

A new robust classifier on noise domains: Bagging of Credal-C4. 5 trees

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano
2017 Articulo

Analysis of Credal-C4.5 for classification in noisy domains

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano
2016 Articulo

Using imprecise probabilities to extract decision rules via decision trees for analysis of traffic accidents

JOAQUÍN ABELLÁN MULERO, Francisco Javier García Castellano, LAURA GARACH MORCILLO
2014 Capítulo de libro

Tesis Docotoral: Modelos bayesianos para la clasificación supervisada. Aplicaciones al análisis de datos de expresión genética.

LUIS MIGUEL DE CAMPOS IBAÑEZ (Director), ANDRÉS CANO UTRERA (Director), SERAFÍN MORAL CALLEJÓN (Director), Francisco Javier García Castellano (Doctorando)
2009 Tesis Doctoral

Modelos bayesianos para la clasificación supervisado: Aplicaciones al análisis de datos de expresión genética.

Francisco Javier García Castellano
2009 Libro

BAYESIAN NETWORK LEARNING ALGORITHMS USING STRUCTURAL RESTRICTIONS: EIGHTH EUROPEAN CONFERENCE ON SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY (ECSQARU 2005)

LUIS MIGUEL DE CAMPOS IBAÑEZ, Francisco Javier García Castellano
2007 Articulo

ON THE USE OF RESTRICTIONS FOR LEARNING, BAYESIAN NETWORKS

LUIS MIGUEL DE CAMPOS IBAÑEZ, Francisco Javier García Castellano
2005 Articulo

SELECTIVE GAUSSIAN NAIVE BAYES MODEL FOR DIFFUSE LARGE-B-CELL LYMPHOMA CLASSIFICATION: SOME IMPROVEMENTS IN PREPROCESSING AND VARIABLE ELIMINATION

ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, Francisco Javier García Castellano
2005 Articulo

METHODS TO DETERMINE THE BRANCHING ATTRIBUTE IN BAYESIAN MULTINETS CLASSIFIERS

ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, Francisco Javier García Castellano
2005 Articulo

LEARNING BAYESIAN NETWORK CLASSIFIERS: SEARCHING IN A SPACE OF PARTIALLY DIRECTED ACYCLIC GRAPHS

LUIS MIGUEL DE CAMPOS IBAÑEZ, SILVIA ACID CARRILLO, Francisco Javier García Castellano
2005 Articulo

Trabajo Conducente A Obtención De DEA: Árboles de Clasificación: Hibridaciones con clasificadores bayesianos.

Francisco Javier García Castellano (Autor/a)
2003 Trabajo conducente a obtención de DEA

EVOLVING RBF NEURAL NETWORKS FOR TIME-SERIES FORECASTING WITH EVRBF

PEDRO ANGEL CASTILLO VALDIVIESO, VÍCTOR MANUEL RIVAS SANTOS, MARIA ISABEL GARCÍA ARENAS, Francisco Javier García Castellano
2003 Articulo

GENETIC ALGORITHM VISUALIZATION USING SELF-ORGANIZING MAPS

PEDRO ANGEL CASTILLO VALDIVIESO, MARIA ISABEL GARCÍA ARENAS, Francisco Javier García Castellano, GUSTAVO ROMERO
2002 Articulo

OPTIMISATION OF MULTILAYER PERCEPTRONS USING A DISTRIBUTED EVOLUTIONARY ALGORITHM WITH SOAP

PEDRO ANGEL CASTILLO VALDIVIESO, VÍCTOR MANUEL RIVAS SANTOS, MARIA ISABEL GARCÍA ARENAS, Francisco Javier García Castellano, GUSTAVO ROMERO
2002 Articulo

FUNCTION APPROXIMATION WITH EVOLVED MULTILAYER PERCEPTRONS

PEDRO ANGEL CASTILLO VALDIVIESO, ALBERTO PRIETO ESPINOSA, VÍCTOR MANUEL RIVAS SANTOS, MARIA ISABEL GARCÍA ARENAS, Francisco Javier García Castellano, GUSTAVO ROMERO
2001 Capítulo de libro

DISEÑO DE REDES NEURONALES ARTIFICIALES MEDIANTE ALGORITMOS EVOLUTIVOS

PEDRO ANGEL CASTILLO VALDIVIESO, ALBERTO PRIETO ESPINOSA, Francisco Javier García Castellano
2001 Articulo

EVOLUTIONARY COMPUTATION VISUALIZATION: APPLICATION TO G-PROP

PEDRO ANGEL CASTILLO VALDIVIESO, ALBERTO PRIETO ESPINOSA, VÍCTOR MANUEL RIVAS SANTOS, MARIA ISABEL GARCÍA ARENAS, Francisco Javier García Castellano, GUSTAVO ROMERO
2000 Articulo

Proyecto fin de carrera: Objetos Evolutivos Paralelos.

Francisco Javier García Castellano (Autor/a)
2000 Proyecto fin de carrera

A new robust classifier on noise domains: Bagging of Credal-C4. 5 trees

Francisco Javier García Castellano
- Articulo