Manejo y Aplicaciones de la Imprecisión a través de Probabilidades Imprecisas

Titulo	Año	Tipo
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 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
A cost-sensitive Imprecise Credal Decision Tree based on nonparametric predictive inference JOAQUÍN ABELLÁN MULERO, 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
Uncertainty-based information measures on the approximate non-parametric predictive inference model JOAQUÍN ABELLÁN MULERO, Serafín Moral García	2021	Articulo
Uncertainty-based information measures on the approximate non-parametric predictive inference model JOAQUÍN ABELLÁN MULERO, Serafín Moral García	2021	Articulo
Required mathematical properties and behaviors of uncertainty measures on belief intervals JOAQUÍN ABELLÁN MULERO, Serafín Moral García	2021	Articulo
Combination in the theory of evidence via a new measurement of the conflict between evidences JOAQUÍN ABELLÁN MULERO, Serafín Moral García, María Dolores Benítez Benítez Estévez	2021	Articulo
Credal sets representable by reachable probability intervals and belief functions JOAQUÍN ABELLÁN MULERO, Serafín Moral García	2021	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
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
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
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
Maximum of Entropy for Belief Intervals Under Evidence Theory JOAQUÍN ABELLÁN MULERO, Serafín Moral García	2020	Articulo
Critique of modified Deng entropies under the evidence theory JOAQUÍN ABELLÁN MULERO, Serafín Moral García	2020	Articulo
Critique of Recent Uncertainty Measures Developed Under the Evidence Theory and Belief Intervals JOAQUÍN ABELLÁN MULERO	2020	Articulo
Maximum of Entropy for Belief Intervals Under Evidence Theory JOAQUÍN ABELLÁN MULERO, Serafín Moral García	2020	Articulo
MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation MANUEL GÓMEZ OLMEDO, ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, Serafín Moral García	2020	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
Interpretation of first-order recurrent neural networks by means of fuzzy rules CARLOS JAVIER MANTAS RUIZ	2019	Articulo
“Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences JOAQUÍN ABELLÁN MULERO, Serafín Moral García, María Dolores Benítez Benítez Estévez	2019	Capítulo de libro
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
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
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
Remarks on ¿A new non-specificity measure in evidence theory based on belief intervals¿ JOAQUÍN ABELLÁN MULERO	2018	Articulo
Drawbacks of uncertainty measures based on the pignistic transformation JOAQUÍN ABELLÁN MULERO	2018	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
Analyzing properties of Deng entropy in the theory of evidence JOAQUÍN ABELLÁN MULERO	2017	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 JOAQUÍN ABELLÁN MULERO	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
Analysis and extension of decision trees based on imprecise probabilities: application on noisy data CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO	2014	Articulo
Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO	2014	Articulo
Credal-C4.5: Decision tree based on imprecise probabilities to classify noisy data CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO	2014	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
Patterns of Single-Vehicle Crashes on Two-Lane Rural Highways in Granada Province, Spain. In-Depth Analysis Through Decision Rules JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO	2014	Articulo
Extracting decision rules from police accident reports through decision trees JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO	2013	Articulo
Analysis of traffic accident severity using Decision Rules via Decision JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO	2013	Articulo
Ensembles of decision trees based on imprecise probabilities and uncertainty measures JOAQUÍN ABELLÁN MULERO	2013	Articulo
An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems JOAQUÍN ABELLÁN MULERO	2013	Articulo
ANALISIS DE LA SEVERIDAD DE LOS ACCIDENTES DE TRÁFICO UTILIZANDO TÉCNICAS DE MINERIA DE DATOS JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO	2013	Tesis Doctoral
Equivalence relations among dominance concepts on probability intervals and general credal sets JOAQUÍN ABELLÁN MULERO	2012	Articulo
BAGGING SCHEMES ON THE PRESENCE OF CLASS NOISE IN CLASSIFICATION JOAQUÍN ABELLÁN MULERO	2012	Articulo
Bagging schemes on the presence of class noise in classification JOAQUÍN ABELLÁN MULERO	2012	Articulo
Using decision trees to extract decision rules from police reports on road accidents JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO	2012	Articulo
IMPRECISE CLASSIFICATION WITH CREDAL DECISION TREES JOAQUÍN ABELLÁN MULERO	2012	Articulo
Determining dependence relations using a new score based on imprecise probabilities SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2012	Articulo
Priorización de actuaciones sobre accidentes de tráfico mediante reglas de decisión JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO	2012	Capítulo de libro
MAXIMISING ENTROPY ON THE NONPARAMETRIC PREDICTIVE INFERENCE MODEL FOR MULTINOMIAL DATA JOAQUÍN ABELLÁN MULERO	2011	Articulo
A MEMORY EFFICIENT SEMI-NAIVE BAYES CLASSIFIER WITH GROUPING OF CASES ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2011	Articulo
COMBINING NONSPECIFICITY MEASURES IN DEMPSTER-SHAFER THEORY OF EVIDENCE JOAQUÍN ABELLÁN MULERO	2011	Articulo
Using imprecise probabilities to extract decision rules via decision trees for analysis of traffic accidents JOAQUÍN ABELLÁN MULERO	2011	Capítulo de libro
BAGGING DECISION TREES ON DATA SETS WITH CLASSIFICATION NOISE JOAQUÍN ABELLÁN MULERO	2010	Articulo
AN ENSEMBLE METHOD USING CREDAL DECISION TREES JOAQUÍN ABELLÁN MULERO	2010	Articulo
AN EXPERIMENTAL STUDY ABOUT SIMPLE DECISION TREES FOR BAGGING ENSEMBLE ON DATASETS WITH CLASSIFICATION NOISE JOAQUÍN ABELLÁN MULERO	2009	Articulo
A FILTER-WRAPPER METHOD TO SELECT VARIABLES FOR THE NAIVE BAYES CLASSIFIER BASED ON CREDAL DECISION TREES JOAQUÍN ABELLÁN MULERO	2009	Articulo
Tesis Docotoral: Modelos bayesianos para la clasificación supervisada. Aplicaciones al análisis de datos de expresión genética. LUIS MIGUEL DE CAMPOS IBAÑEZ, ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, Francisco Javier García Castellano	2009	Tesis Doctoral
Modelos bayesianos para la clasificación supervisado: Aplicaciones al análisis de datos de expresión genética. Francisco Javier García Castellano	2009	Libro
ARTIFICIAL NEURAL NETWORKS ARE ZERO-ORDER TSK FUZZY SYSTEMS CARLOS JAVIER MANTAS RUIZ	2008	Articulo
A GENERIC FUZZY AGGREGATION OPERATOR: RULES EXTRACTION FROM AND INSERTION INTO ARTIFICIAL NEURAL NETWORKS CARLOS JAVIER MANTAS RUIZ	2008	Articulo
REQUIREMENTS FOR TOTAL UNCERTAINTY MEASURES IN DEMPSTER¿SHAFER THEORY OF EVIDENCE JOAQUÍN ABELLÁN MULERO	2008	Articulo
EXTRACTION OF FUZZY RULES FROM SUPPORT VECTOR MACHINES: THEME: MODELLING AND INTERPRETABILITY ISSUES JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2007	Articulo
SPLIT CRITERIONS FOR VARIABLE SELECTION USING DECISION TREES JOAQUÍN ABELLÁN MULERO	2007	Articulo
COMBINIG DECISION TREES BASED ON IMPRECISE PROBABILITIES AND UNCERTAINTY MEASURES JOAQUÍN ABELLÁN MULERO	2007	Articulo
A SEMI-NAIVE BAYES CLASSIFIER WITH GROUPING OF CASES ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2007	Articulo
HILL-CLIMBING AND BRANCH-AND-BOUND ALGORITHMS FOR EXACT AND APPROXIMATE INFERENCE IN CREDAL NETWORKS MANUEL GÓMEZ OLMEDO, ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2007	Articulo
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
EXTRACTION OF SIMILARITY BASED FUZZY RULES FROM ARTIFICIAL NEURAL NETWORKS CARLOS JAVIER MANTAS RUIZ, JOSE MIGUEL MANTAS RUIZ	2006	Articulo
Fuzzy pairwise multiclass support vector machines JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2006	Articulo
FUZZY PAIRWISE MULTICLASS SUPPORT VECTOR MACHINES JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2006	Capítulo de libro
VARYING PARAMETER IN CLASSIFICATION BASED ON IMPRECISE PROBABILITIES MANUEL GÓMEZ OLMEDO, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2006	Articulo
UNCERTAINTY MEASURES ON PROBABILITY INTERVALS FROM THE IMPRECISE DIRICHLET MODEL JOAQUÍN ABELLÁN MULERO	2006	Articulo
AN ALGORITHM TO COMPUTE THE UPPER ENTROPY FOR ORDER-2 CAPACITIES SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2006	Articulo
BOOK REVIEW JOAQUÍN ABELLÁN MULERO	2006	Articulo
DISAGGREGATED TOTAL UNCERTAINTY MEASURE FOR CREDAL SETS SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2006	Articulo
MEASURES OF DIVERGENCE ON CREDAL SETS MANUEL GÓMEZ OLMEDO, JOAQUÍN ABELLÁN MULERO	2006	Review
APPLICATION OF UNCERTAINTY MEASURES ON CREDAL SETS ON THE NAIVE BAYESIAN CLASSIFIER JOAQUÍN ABELLÁN MULERO	2006	Articulo
DIFFERENCE OF ENTROPIES AS A NON-SPECIFICITY FUNCTION ON CREDAL SETS SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2005	Articulo
UPPER ENTROPY OF CREDAL SETS. APPLICATIONS TO CREDAL CLASSIFICATION SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2005	Articulo
COMPLETING AN UNCERTAINTY CRITERION OF CLASSIFICATION JOAQUÍN ABELLÁN MULERO	2005	Articulo
A NON-SPECIFICITY MEASURE FOR CONVEX SETS OF PROBABILITY DISTRIBUTIONS (VOL 8, PG 357, 2000) SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2005	Corrección
ADDITIVITY OF UNCERTAINTY MEASURES ON CREDAL SETS JOAQUÍN ABELLÁN MULERO	2005	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
RANGE OF ENTROPY FOR CREDAL SETS SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2004	Articulo
VARYING PARAMETER IN CLASSIFICATION BASED ON IMPRECISE PROBABILITIES MANUEL GÓMEZ OLMEDO, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2004	Capítulo de libro
RANGE OF ENTROPY FOR CREDAL SETS SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2004	Capítulo de libro
MAXIMUM OF ENTROPY FOR CREDAL SETS SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2003	Articulo
BUILDING CLASSIFICATION TREES USING THE TOTAL UNCERTAINTY CRITERION SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2003	Articulo
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
Trabajo Conducente A Obtención De DEA: Árboles de Clasificación: Hibridaciones con clasificadores bayesianos. Francisco Javier García Castellano	2003	Trabajo conducente a obtención de DEA
A PROCEDURE FOR IMPROVING GENERALIZATION IN CLASSIFICATION TREES CARLOS JAVIER MANTAS RUIZ, FERNANDO ROJAS RUIZ, JOSE MIGUEL MANTAS RUIZ	2002	Articulo
INTERPRETATION OF ARTIFICIAL NEURAL NETWORKS BY MEANS OF FUZZY RULES JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2002	Articulo
MEDIDAS DE ENTROPÍA Y DISTANCIA EN CONJUNTOS CONVEXOS DE PROBABILIDAD: DEFINICIONES Y APLICACIONES SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2002	Tesis Doctoral
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
A NEW APPROACH FOR THE EXECUTION AND ADJUSTMENT OF A FUZZY ALGORITHM MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2001	Articulo
A FUZZY RULE-BASED ALGORITHM TO TRAIN PERCEPTRONS MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2001	Articulo
DISEÑO DE REDES NEURONALES ARTIFICIALES MEDIANTE ALGORITMOS EVOLUTIVOS PEDRO ANGEL CASTILLO VALDIVIESO, ALBERTO PRIETO ESPINOSA, Francisco Javier García Castellano	2001	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
MORSE: A GENERAL MODEL TO REPRESENT STRUCTURED KNOWLEDGE MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2000	Articulo
NEURAL NETWORKS WITH A CONTINUOUS SQUASHING FUNCTION IN THE OUTPUT ARE UNIVERSAL APPROXIMATORS JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2000	Articulo
SEPARATE: A MACHINE LEARNING METHOD BASED ON SEMI-GLOBAL PARTITIONS MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2000	Articulo
LAS REDES NEURONALES ARTIFICIALES MULTICAPA SON SISTEMAS BASADOS EN REGLAS DIFUSAS ENCADENADOS JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	2000	Capítulo de libro
A NON-SPECIFICITY MEASURE FOR CONVEX SETS OF PROBABILITY DISTRIBUTIONS SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	2000	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	2000	Proyecto fin de carrera
REPRESENTACION DE CONOCIMIENTO ESTRUCTURADO Y SU APLICACION AL DISEÑO DE SISTEMAS AUTOMATICOS MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	1999	Tesis Doctoral
FUZZY GRAMMAR FOR HANDLING FUZZY ALGORITHMS MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ	1999	Articulo
A FUZZY RULE BASED BACKPROPAGATION METHOD FOR TRAINING BINARY MULTILAYER PERCEPTRONS MIGUEL DELGADO CALVO-FLORES, CARLOS JAVIER MANTAS RUIZ	1999	Articulo
COMPLETING A TOTAL UNCERTAINTY MEASURE IN THE DEMPSTER-SHAFER THEORY SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	1999	Articulo
“Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences Serafín Moral García	1900	Capítulo de libro
Interpretation of first-order recurrent neural networks by means of fuzzy rules CARLOS JAVIER MANTAS RUIZ	-	Articulo
A new imprecise Score Measure for Independence SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO	-	Articulo
Classification with decision trees from a nonparametric predictive inference perspective JOAQUÍN ABELLÁN MULERO	-	Articulo
An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems JOAQUÍN ABELLÁN MULERO	-	Articulo
Improving experimental studies about ensembles of classifers for bankruptcy prediction and credit scoring JOAQUÍN ABELLÁN MULERO	-	Articulo
Improving experimental studies about ensembles of classifers for bankruptcy prediction and credit scoring JOAQUÍN ABELLÁN MULERO	-	Articulo
A new robust classifier on noise domains: Bagging of Credal-C4. 5 trees Francisco Javier García Castellano	-	Articulo
Maximum of Entropy for Belief Intervals Under Evidence Theory Serafín Moral García	-	Articulo
Uncertainty-based information measures on the approximate non-parametric predictive inference model Serafín Moral García	-	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 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

A cost-sensitive Imprecise Credal Decision Tree based on nonparametric predictive inference

JOAQUÍN ABELLÁN MULERO, 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

Uncertainty-based information measures on the approximate non-parametric predictive inference model

JOAQUÍN ABELLÁN MULERO, Serafín Moral García

2021

Articulo

Uncertainty-based information measures on the approximate non-parametric predictive inference model

JOAQUÍN ABELLÁN MULERO, Serafín Moral García

2021

Articulo

Required mathematical properties and behaviors of uncertainty measures on belief intervals

JOAQUÍN ABELLÁN MULERO, Serafín Moral García

2021

Articulo

Combination in the theory of evidence via a new measurement of the conflict between evidences

JOAQUÍN ABELLÁN MULERO, Serafín Moral García, María Dolores Benítez Benítez Estévez

2021

Articulo

Credal sets representable by reachable probability intervals and belief functions

JOAQUÍN ABELLÁN MULERO, Serafín Moral García

2021

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

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

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

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

Maximum of Entropy for Belief Intervals Under Evidence Theory

JOAQUÍN ABELLÁN MULERO, Serafín Moral García

2020

Articulo

Critique of modified Deng entropies under the evidence theory

JOAQUÍN ABELLÁN MULERO, Serafín Moral García

2020

Articulo

Critique of Recent Uncertainty Measures Developed Under the Evidence Theory and Belief Intervals

JOAQUÍN ABELLÁN MULERO

2020

Articulo

Maximum of Entropy for Belief Intervals Under Evidence Theory

JOAQUÍN ABELLÁN MULERO, Serafín Moral García

2020

Articulo

MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation

MANUEL GÓMEZ OLMEDO, ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, Serafín Moral García

2020

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

Interpretation of first-order recurrent neural networks by means of fuzzy rules

CARLOS JAVIER MANTAS RUIZ

2019

Articulo

“Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences

JOAQUÍN ABELLÁN MULERO, Serafín Moral García, María Dolores Benítez Benítez Estévez

2019

Capítulo de libro

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

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

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

Remarks on ¿A new non-specificity measure in evidence theory based on belief intervals¿

JOAQUÍN ABELLÁN MULERO

2018

Articulo

Drawbacks of uncertainty measures based on the pignistic transformation

JOAQUÍN ABELLÁN MULERO

2018

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

Analyzing properties of Deng entropy in the theory of evidence

JOAQUÍN ABELLÁN MULERO

2017

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

JOAQUÍN ABELLÁN MULERO

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

Analysis and extension of decision trees based on imprecise probabilities: application on noisy data

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO

2014

Articulo

Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO

2014

Articulo

Credal-C4.5: Decision tree based on imprecise probabilities to classify noisy data

CARLOS JAVIER MANTAS RUIZ, JOAQUÍN ABELLÁN MULERO

2014

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

Patterns of Single-Vehicle Crashes on Two-Lane Rural Highways in Granada Province, Spain. In-Depth Analysis Through Decision Rules

JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO

2014

Articulo

Extracting decision rules from police accident reports through decision trees

JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO

2013

Articulo

Analysis of traffic accident severity using Decision Rules via Decision

JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO

2013

Articulo

Ensembles of decision trees based on imprecise probabilities and uncertainty measures

JOAQUÍN ABELLÁN MULERO

2013

Articulo

An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems

JOAQUÍN ABELLÁN MULERO

2013

Articulo

ANALISIS DE LA SEVERIDAD DE LOS ACCIDENTES DE TRÁFICO UTILIZANDO TÉCNICAS DE MINERIA DE DATOS

JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO

2013

Tesis Doctoral

Equivalence relations among dominance concepts on probability intervals and general credal sets

JOAQUÍN ABELLÁN MULERO

2012

Articulo

BAGGING SCHEMES ON THE PRESENCE OF CLASS NOISE IN CLASSIFICATION

JOAQUÍN ABELLÁN MULERO

2012

Articulo

Bagging schemes on the presence of class noise in classification

JOAQUÍN ABELLÁN MULERO

2012

Articulo

Using decision trees to extract decision rules from police reports on road accidents

JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO

2012

Articulo

IMPRECISE CLASSIFICATION WITH CREDAL DECISION TREES

JOAQUÍN ABELLÁN MULERO

2012

Articulo

Determining dependence relations using a new score based on imprecise probabilities

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2012

Articulo

Priorización de actuaciones sobre accidentes de tráfico mediante reglas de decisión

JUAN DE OÑA LÓPEZ, JOAQUÍN ABELLÁN MULERO

2012

Capítulo de libro

MAXIMISING ENTROPY ON THE NONPARAMETRIC PREDICTIVE INFERENCE MODEL FOR MULTINOMIAL DATA

JOAQUÍN ABELLÁN MULERO

2011

Articulo

A MEMORY EFFICIENT SEMI-NAIVE BAYES CLASSIFIER WITH GROUPING OF CASES

ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2011

Articulo

COMBINING NONSPECIFICITY MEASURES IN DEMPSTER-SHAFER THEORY OF EVIDENCE

JOAQUÍN ABELLÁN MULERO

2011

Articulo

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

JOAQUÍN ABELLÁN MULERO

2011

Capítulo de libro

BAGGING DECISION TREES ON DATA SETS WITH CLASSIFICATION NOISE

JOAQUÍN ABELLÁN MULERO

2010

Articulo

AN ENSEMBLE METHOD USING CREDAL DECISION TREES

JOAQUÍN ABELLÁN MULERO

2010

Articulo

AN EXPERIMENTAL STUDY ABOUT SIMPLE DECISION TREES FOR BAGGING ENSEMBLE ON DATASETS WITH CLASSIFICATION NOISE

JOAQUÍN ABELLÁN MULERO

2009

Articulo

A FILTER-WRAPPER METHOD TO SELECT VARIABLES FOR THE NAIVE BAYES CLASSIFIER BASED ON CREDAL DECISION TREES

JOAQUÍN ABELLÁN MULERO

2009

Articulo

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

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

2009

Tesis Doctoral

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

Francisco Javier García Castellano

2009

Libro

ARTIFICIAL NEURAL NETWORKS ARE ZERO-ORDER TSK FUZZY SYSTEMS

CARLOS JAVIER MANTAS RUIZ

2008

Articulo

A GENERIC FUZZY AGGREGATION OPERATOR: RULES EXTRACTION FROM AND INSERTION INTO ARTIFICIAL NEURAL NETWORKS

CARLOS JAVIER MANTAS RUIZ

2008

Articulo

REQUIREMENTS FOR TOTAL UNCERTAINTY MEASURES IN DEMPSTER¿SHAFER THEORY OF EVIDENCE

JOAQUÍN ABELLÁN MULERO

2008

Articulo

EXTRACTION OF FUZZY RULES FROM SUPPORT VECTOR MACHINES: THEME: MODELLING AND INTERPRETABILITY ISSUES

JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2007

Articulo

SPLIT CRITERIONS FOR VARIABLE SELECTION USING DECISION TREES

JOAQUÍN ABELLÁN MULERO

2007

Articulo

COMBINIG DECISION TREES BASED ON IMPRECISE PROBABILITIES AND UNCERTAINTY MEASURES

JOAQUÍN ABELLÁN MULERO

2007

Articulo

A SEMI-NAIVE BAYES CLASSIFIER WITH GROUPING OF CASES

ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2007

Articulo

HILL-CLIMBING AND BRANCH-AND-BOUND ALGORITHMS FOR EXACT AND APPROXIMATE INFERENCE IN CREDAL NETWORKS

MANUEL GÓMEZ OLMEDO, ANDRÉS CANO UTRERA, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2007

Articulo

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

EXTRACTION OF SIMILARITY BASED FUZZY RULES FROM ARTIFICIAL NEURAL NETWORKS

CARLOS JAVIER MANTAS RUIZ, JOSE MIGUEL MANTAS RUIZ

2006

Articulo

Fuzzy pairwise multiclass support vector machines

JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2006

Articulo

FUZZY PAIRWISE MULTICLASS SUPPORT VECTOR MACHINES

JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2006

Capítulo de libro

VARYING PARAMETER IN CLASSIFICATION BASED ON IMPRECISE PROBABILITIES

MANUEL GÓMEZ OLMEDO, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2006

Articulo

UNCERTAINTY MEASURES ON PROBABILITY INTERVALS FROM THE IMPRECISE DIRICHLET MODEL

JOAQUÍN ABELLÁN MULERO

2006

Articulo

AN ALGORITHM TO COMPUTE THE UPPER ENTROPY FOR ORDER-2 CAPACITIES

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2006

Articulo

BOOK REVIEW

JOAQUÍN ABELLÁN MULERO

2006

Articulo

DISAGGREGATED TOTAL UNCERTAINTY MEASURE FOR CREDAL SETS

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2006

Articulo

MEASURES OF DIVERGENCE ON CREDAL SETS

MANUEL GÓMEZ OLMEDO, JOAQUÍN ABELLÁN MULERO

2006

Review

APPLICATION OF UNCERTAINTY MEASURES ON CREDAL SETS ON THE NAIVE BAYESIAN CLASSIFIER

JOAQUÍN ABELLÁN MULERO

2006

Articulo

DIFFERENCE OF ENTROPIES AS A NON-SPECIFICITY FUNCTION ON CREDAL SETS

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2005

Articulo

UPPER ENTROPY OF CREDAL SETS. APPLICATIONS TO CREDAL CLASSIFICATION

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2005

Articulo

COMPLETING AN UNCERTAINTY CRITERION OF CLASSIFICATION

JOAQUÍN ABELLÁN MULERO

2005

Articulo

A NON-SPECIFICITY MEASURE FOR CONVEX SETS OF PROBABILITY DISTRIBUTIONS (VOL 8, PG 357, 2000)

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2005

Corrección

ADDITIVITY OF UNCERTAINTY MEASURES ON CREDAL SETS

JOAQUÍN ABELLÁN MULERO

2005

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

RANGE OF ENTROPY FOR CREDAL SETS

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2004

Articulo

VARYING PARAMETER IN CLASSIFICATION BASED ON IMPRECISE PROBABILITIES

MANUEL GÓMEZ OLMEDO, SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2004

Capítulo de libro

RANGE OF ENTROPY FOR CREDAL SETS

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2004

Capítulo de libro

MAXIMUM OF ENTROPY FOR CREDAL SETS

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2003

Articulo

BUILDING CLASSIFICATION TREES USING THE TOTAL UNCERTAINTY CRITERION

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2003

Articulo

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

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

Francisco Javier García Castellano

2003

Trabajo conducente a obtención de DEA

A PROCEDURE FOR IMPROVING GENERALIZATION IN CLASSIFICATION TREES

CARLOS JAVIER MANTAS RUIZ, FERNANDO ROJAS RUIZ, JOSE MIGUEL MANTAS RUIZ

2002

Articulo

INTERPRETATION OF ARTIFICIAL NEURAL NETWORKS BY MEANS OF FUZZY RULES

JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2002

Articulo

MEDIDAS DE ENTROPÍA Y DISTANCIA EN CONJUNTOS CONVEXOS DE PROBABILIDAD: DEFINICIONES Y APLICACIONES

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2002

Tesis Doctoral

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

A NEW APPROACH FOR THE EXECUTION AND ADJUSTMENT OF A FUZZY ALGORITHM

MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2001

Articulo

A FUZZY RULE-BASED ALGORITHM TO TRAIN PERCEPTRONS

MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2001

Articulo

DISEÑO DE REDES NEURONALES ARTIFICIALES MEDIANTE ALGORITMOS EVOLUTIVOS

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

2001

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

MORSE: A GENERAL MODEL TO REPRESENT STRUCTURED KNOWLEDGE

MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2000

Articulo

NEURAL NETWORKS WITH A CONTINUOUS SQUASHING FUNCTION IN THE OUTPUT ARE UNIVERSAL APPROXIMATORS

JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2000

Articulo

SEPARATE: A MACHINE LEARNING METHOD BASED ON SEMI-GLOBAL PARTITIONS

MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2000

Articulo

LAS REDES NEURONALES ARTIFICIALES MULTICAPA SON SISTEMAS BASADOS EN REGLAS DIFUSAS ENCADENADOS

JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

2000

Capítulo de libro

A NON-SPECIFICITY MEASURE FOR CONVEX SETS OF PROBABILITY DISTRIBUTIONS

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

2000

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

2000

Proyecto fin de carrera

REPRESENTACION DE CONOCIMIENTO ESTRUCTURADO Y SU APLICACION AL DISEÑO DE SISTEMAS AUTOMATICOS

MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

1999

Tesis Doctoral

FUZZY GRAMMAR FOR HANDLING FUZZY ALGORITHMS

MIGUEL DELGADO CALVO-FLORES, JUAN LUIS CASTRO PEÑA, CARLOS JAVIER MANTAS RUIZ

1999

Articulo

A FUZZY RULE BASED BACKPROPAGATION METHOD FOR TRAINING BINARY MULTILAYER PERCEPTRONS

MIGUEL DELGADO CALVO-FLORES, CARLOS JAVIER MANTAS RUIZ

1999

Articulo

COMPLETING A TOTAL UNCERTAINTY MEASURE IN THE DEMPSTER-SHAFER THEORY

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

1999

Articulo

“Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences

Serafín Moral García

1900

Capítulo de libro

Interpretation of first-order recurrent neural networks by means of fuzzy rules

CARLOS JAVIER MANTAS RUIZ

-

Articulo

A new imprecise Score Measure for Independence

SERAFÍN MORAL CALLEJÓN, JOAQUÍN ABELLÁN MULERO

-

Articulo

Classification with decision trees from a nonparametric predictive inference perspective

JOAQUÍN ABELLÁN MULERO

-

Articulo

An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems

JOAQUÍN ABELLÁN MULERO

-

Articulo

Improving experimental studies about ensembles of classifers for bankruptcy prediction and credit scoring

JOAQUÍN ABELLÁN MULERO

-

Articulo

Improving experimental studies about ensembles of classifers for bankruptcy prediction and credit scoring

JOAQUÍN ABELLÁN MULERO

-

Articulo

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

Francisco Javier García Castellano

-

Articulo

Maximum of Entropy for Belief Intervals Under Evidence Theory

Serafín Moral García

-

Articulo

Uncertainty-based information measures on the approximate non-parametric predictive inference model

Serafín Moral García

-

Articulo

Listado de producción del grupo

Using extreme prior probabilities on the Naive Credal Classifier

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

A cost-sensitive Imprecise Credal Decision Tree based on nonparametric predictive inference

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

Uncertainty-based information measures on the approximate non-parametric predictive inference model

Uncertainty-based information measures on the approximate non-parametric predictive inference model

Required mathematical properties and behaviors of uncertainty measures on belief intervals

Combination in the theory of evidence via a new measurement of the conflict between evidences

Credal sets representable by reachable probability intervals and belief functions

Bagging of credal decision trees for imprecise classification

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

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

Non-parametric predictive inference for solving multi-label classification

Maximum of Entropy for Belief Intervals Under Evidence Theory

Critique of modified Deng entropies under the evidence theory

Critique of Recent Uncertainty Measures Developed Under the Evidence Theory and Belief Intervals

Maximum of Entropy for Belief Intervals Under Evidence Theory

MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation

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

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

Interpretation of first-order recurrent neural networks by means of fuzzy rules

“Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences

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

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

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

Increasing diversity in Random Forest learning algorithm via imprecise probabilities

Remarks on ¿A new non-specificity measure in evidence theory based on belief intervals¿

Drawbacks of uncertainty measures based on the pignistic transformation

A Random Forest approach using imprecise probabilities

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

Analyzing properties of Deng entropy in the theory of evidence

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

Extraction of decision rules via imprecise probabilities

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

A Random Forest approach using imprecise probabilities

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

Analysis and extension of decision trees based on imprecise probabilities: application on noisy data

Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring

Credal-C4.5: Decision tree based on imprecise probabilities to classify noisy data

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

Patterns of Single-Vehicle Crashes on Two-Lane Rural Highways in Granada Province, Spain. In-Depth Analysis Through Decision Rules

Extracting decision rules from police accident reports through decision trees

Analysis of traffic accident severity using Decision Rules via Decision

Ensembles of decision trees based on imprecise probabilities and uncertainty measures

An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems

ANALISIS DE LA SEVERIDAD DE LOS ACCIDENTES DE TRÁFICO UTILIZANDO TÉCNICAS DE MINERIA DE DATOS

Equivalence relations among dominance concepts on probability intervals and general credal sets

BAGGING SCHEMES ON THE PRESENCE OF CLASS NOISE IN CLASSIFICATION

Bagging schemes on the presence of class noise in classification

Using decision trees to extract decision rules from police reports on road accidents

IMPRECISE CLASSIFICATION WITH CREDAL DECISION TREES

Determining dependence relations using a new score based on imprecise probabilities

Priorización de actuaciones sobre accidentes de tráfico mediante reglas de decisión

MAXIMISING ENTROPY ON THE NONPARAMETRIC PREDICTIVE INFERENCE MODEL FOR MULTINOMIAL DATA

A MEMORY EFFICIENT SEMI-NAIVE BAYES CLASSIFIER WITH GROUPING OF CASES

COMBINING NONSPECIFICITY MEASURES IN DEMPSTER-SHAFER THEORY OF EVIDENCE

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

BAGGING DECISION TREES ON DATA SETS WITH CLASSIFICATION NOISE

AN ENSEMBLE METHOD USING CREDAL DECISION TREES

AN EXPERIMENTAL STUDY ABOUT SIMPLE DECISION TREES FOR BAGGING ENSEMBLE ON DATASETS WITH CLASSIFICATION NOISE

A FILTER-WRAPPER METHOD TO SELECT VARIABLES FOR THE NAIVE BAYES CLASSIFIER BASED ON CREDAL DECISION TREES

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

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

ARTIFICIAL NEURAL NETWORKS ARE ZERO-ORDER TSK FUZZY SYSTEMS

A GENERIC FUZZY AGGREGATION OPERATOR: RULES EXTRACTION FROM AND INSERTION INTO ARTIFICIAL NEURAL NETWORKS

REQUIREMENTS FOR TOTAL UNCERTAINTY MEASURES IN DEMPSTER¿SHAFER THEORY OF EVIDENCE

EXTRACTION OF FUZZY RULES FROM SUPPORT VECTOR MACHINES: THEME: MODELLING AND INTERPRETABILITY ISSUES

SPLIT CRITERIONS FOR VARIABLE SELECTION USING DECISION TREES

COMBINIG DECISION TREES BASED ON IMPRECISE PROBABILITIES AND UNCERTAINTY MEASURES

A SEMI-NAIVE BAYES CLASSIFIER WITH GROUPING OF CASES

HILL-CLIMBING AND BRANCH-AND-BOUND ALGORITHMS FOR EXACT AND APPROXIMATE INFERENCE IN CREDAL NETWORKS

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

EXTRACTION OF SIMILARITY BASED FUZZY RULES FROM ARTIFICIAL NEURAL NETWORKS

Fuzzy pairwise multiclass support vector machines

FUZZY PAIRWISE MULTICLASS SUPPORT VECTOR MACHINES

VARYING PARAMETER IN CLASSIFICATION BASED ON IMPRECISE PROBABILITIES

UNCERTAINTY MEASURES ON PROBABILITY INTERVALS FROM THE IMPRECISE DIRICHLET MODEL

AN ALGORITHM TO COMPUTE THE UPPER ENTROPY FOR ORDER-2 CAPACITIES

BOOK REVIEW