Listado de producción
Listando 79 resultados
| Titulo | Año | Tipo |
|---|---|---|
Análisis y diseño de técnicas de preprocesamiento de instancias escalables para problemas no balanceados en Big Data. Aplicaciones en situaciones de emergencias humanitarias.
Alberto Fernández Hilario (Codirector)
|
2022 | Tesis Doctoral |
IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data
Alberto Fernández Hilario
|
2022 | Articulo |
The impact of heterogeneous distance functions on missing data imputation and classification performance
Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2022 | Articulo |
FW-SMOTE: a feature-weighted oversampling approach for imbalanced classification
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2022 | Articulo |
P23.02 Digital Multiplexed circRNA Analysis From Plasma-Derived Extracellular Vesicles of Lung Cancer Patients
MICHAEL HACKENBERG, Alberto Fernández Hilario
|
2021 | Articulo |
P23.02 Digital Multiplexed circRNA Analysis From Plasma-Derived Extracellular Vesicles of Lung Cancer Patients
MICHAEL HACKENBERG, Alberto Fernández Hilario
|
2021 | Articulo |
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario, Francisco David Charte Luque
|
2021 | Articulo |
FDR2-BD: A Fast Data Reduction Recommendation Tool for Tabular Big Data Classification Problems
Alberto Fernández Hilario
|
2021 | Articulo |
Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2021 | Articulo |
Discussion on Vuttipittayamongkol, P. and Elyan, E., Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson¿s Disease
Alberto Fernández Hilario
|
2020 | Articulo |
A Multi-Objective Evolutionary Fuzzy System to Obtain a Broad and Accurate Set of Solutions in Intrusion Detection Systems
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2019 | Articulo |
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
FRANCISCO HERRERA TRIGUERO, OSCAR CORDÓN GARCÍA, Alberto Fernández Hilario
|
2019 | Articulo |
A Meta-Hierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2019 | Articulo |
Guest Editorial: Computational Intelligence for Big Data Analytics
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario, ISAAC TRIGUERO VELÁZQUEZ
|
2019 | Editorial |
Estudio y desarrollo de nuevas técnicas para el tratamiento de series temporales y su aplicación al estudio del precio de las criptomonedas. Directores: Alberto Fernández y Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez Peña (Director), Alberto Fernández Hilario (Director)
|
2019 | Trabajo conducente a obtención de DEA |
Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2018 | Capítulo de libro |
Dynamic Affinity-based Classification of Multi-Class Imbalanced Data with One-vs-One Decomposition: a Fuzzy Rough Set Approach
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2018 | Articulo |
SMOTE for Learning from Imbalanced Data: Progress and Challenges. Marking the 15-year Anniversary
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario
|
2018 | Articulo |
Surveying Alignment-free Features for Ortholog Detection in Related Yeast Proteomes by using Supervised Big Data Classifiers
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2018 | Articulo |
Big Data: Tutorial and Guidelines on Information and Process Fusion for Analytics Algorithms with MapReduce
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario
|
2018 | Articulo |
Analyzing gender disparities in STEAM: A Case Study from Bioinformatics Workshops in the University of Granada
WALDO FAJARDO CONTRERAS, RAFAEL ALCALÁ FERNÁNDEZ, MARIA CORAL DEL VAL MUÑOZ, JESÚS ALCALÁ FERNÁNDEZ, CARLOS CANO GUTIERREZ, Alberto Fernández Hilario
|
2018 | Articulo |
Imbalance: Oversampling algorithms for imbalanced classification in R.
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario
|
2018 | Articulo |
SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2018 | Articulo |
Learning from Imbalanced Datasets
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario
|
2018 | Libro |
NMC: Nearest Matrix Classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2017 | Articulo |
An insight into imbalanced Big Data classification: outcomes and challenges
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2017 | Articulo |
A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2017 | Articulo |
Fuzzy Rule Based Classification Systems for Big Data with MapReduce: Granularity Analysis
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2017 | Articulo |
A Review on Distributed Data Models: taxonomies, techniques and new trends
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2017 | Capítulo de libro |
KEEL 3.0: an open source software for multi-stage analysis in data mining
FRANCISCO HERRERA TRIGUERO, JESÚS ALCALÁ FERNÁNDEZ, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN, ISAAC TRIGUERO VELÁZQUEZ, Jose María Moyano Murillo
|
2017 | Articulo |
Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2017 | Articulo |
Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2016 | Capítulo de libro |
A view on fuzzy systems for big data: progress and opportunities
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2016 | Articulo |
Ordering-Based Pruning for Improving the Performance of Ensembles of Classifiers in the Framework of Imbalanced Datasets
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2016 | Articulo |
Enhancing Evolutionary Fuzzy Systems for Multi-Class Problems: Distance-based Relative Competence Weighting with Truncated Confidences (DRCW-TC)
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2016 | Articulo |
Gamificación en procesos de auto-entrenamiento y auto-evaluación
Alberto Fernández Hilario
|
2016 | Articulo |
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2015 | Articulo |
A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2015 | Articulo |
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2015 | Articulo |
Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2015 | Articulo |
Revisiting Evolutionary Fuzzy Systems: Taxonomy, Applications, New Trends and Challenges
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2015 | Articulo |
Sistemas de Clasificación Basados en Reglas Difusas para Problemas no Balanceados. Aproximaciones y Uso de Nuevas Estrategias para Resolver Problemas Intrínsecos a los Datos no Balanceados.
FRANCISCO HERRERA TRIGUERO (Codirector), Alberto Fernández Hilario (Codirector)
|
2014 | Tesis Doctoral |
On the Importance of the Validation Technique for Classification with Imbalanced Datasets: Addressing Covariate Shift when Data is Skewed
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2014 | Articulo |
Empowering difficult classes with a Similarity-based aggregation in multi-class classification problems
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2014 | Articulo |
Big Data with Cloud Computing: An Insight on the Computing Environment, MapReduce and Programming Frameworks
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2014 | Articulo |
E-learning and educational data mining in cloud computing: an overview
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2014 | Articulo |
Propuesta de una asignatura de Diseño de Servidores para la especialidad de Tecnologías de Información
JOSÉ SANTAMARÍA LÓPEZ, Alberto Fernández Hilario, FRANCISCO CHARTE OJEDA
|
2014 | Articulo |
A Hierarchical Genetic Fuzzy System Based On Genetic Programming for Addressing Classification with Highly Imbalanced and Borderline Data-sets
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2013 | Articulo |
IVTURS: a linguistic fuzzy rule-based classification system based on a new Interval-Valued fuzzy reasoning method with TUning and Rule Selection
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2013 | Articulo |
Analysing the Classification of Imbalanced Data-sets with Multiple Classes: Binarization Techniques and Ad-Hoc Approaches
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2013 | Articulo |
EUSBoost: Enhancing Ensembles for Highly Imbalanced Data-sets by Evolutionary Undersampling
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2013 | Articulo |
Dynamic Classifier Selection for One-vs-One Strategy: Avoiding Non-Competent Classifiers
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2013 | Articulo |
An Insight into Classification with Imbalanced Data: Empirical Results and Current Trends on Using Data Intrinsic Characteristics
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario
|
2013 | Articulo |
Ensembles of classifiers for multi-class classification problems: one-vs-one, imbalanced data-sets and difficult classes
FRANCISCO HERRERA TRIGUERO (Director), Alberto Fernández Hilario (Director)
|
2012 | Tesis Doctoral |
On the Usefulness of Fuzzy Rule Based Systems Based on Hierarchical Linguistic Fuzzy Partitions
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2012 | Capítulo de libro |
Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2012 | Capítulo de libro |
IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2012 | Articulo |
A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2012 | Articulo |
Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classi
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2012 | Articulo |
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classi¿cation. Open problems on intrinsic data characteristics.
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2012 | Articulo |
Mejora de la precision en sistemas de clasicacion lingusticos difusos mediante el uso de conjuntos difusos intervalo-valorados y ajuste de la ignorancia
FRANCISCO HERRERA TRIGUERO (Director), Alberto Fernández Hilario (Director)
|
2011 | Tesis Doctoral |
On the Usefulness of Fuzzy Rule Based Systems based on Hierarchical Linguistic Fuzzy Partitions
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2011 | Capítulo de libro |
A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2011 | Articulo |
An Overview of Ensemble Methods for Binary Classifiers in Multi-class Problems: Experimental Study on One-vs-One and One-vs-All Schemes
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2011 | Articulo |
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework
FRANCISCO HERRERA TRIGUERO, JESÚS ALCALÁ FERNÁNDEZ, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2011 | Articulo |
Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2011 | Articulo |
SISTEMAS DE CLASIFICACIÓN BASADOS EN REGLAS DIFUSAS LINGÜÍSTICAS APLICADAS A PROBLEMAS CON CLASES NO BALANCEADAS
FRANCISCO HERRERA TRIGUERO (Director), Alberto Fernández Hilario (Doctorando)
|
2010 | Tesis Doctoral |
ADVANCED NONPARAMETRIC TESTS FOR MULTIPLE COMPARISONS IN THE DESIGN OF EXPERIMENTS IN COMPUTATIONAL INTELLIGENCE AND DATA MINING: EXPERIMENTAL ANALYSIS OF POWER
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2010 | Articulo |
On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2010 | Articulo |
GENETICS-BASED MACHINE LEARNING FOR RULE INDUCTION: STATE OF THE ART, TAXONOMY AND COMPARATIVE STUDY
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2010 | Articulo |
ANALYSIS OF AN EVOLUTIONARY RBFN DESIGN ALGORITHM, CO2RBFN, FOR IMBALANCED DATA SETS
Alberto Fernández Hilario
|
2010 | Articulo |
SOLVING MULTI-CLASS PROBLEMS WITH LINGUISTIC FUZZY RULE BASED CLASSIFICATION SYSTEMS BASED ON PAIRWISE LEARNING AND PREFERENCE RELATIONS
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2010 | Articulo |
IMPROVING THE PERFORMANCE OF FUZZY RULE-BASED CLASSIFICATION SYSTEMS WITH INTERVAL-VALUED FUZZY SETS AND GENETIC AMPLITUDE TUNING
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2010 | Articulo |
ENHANCING THE EFFECTIVENESS AND INTERPRETABILITY OF DECISION TREE AND RULE INDUCTION CLASSIFIERS WITH EVOLUTIONARY TRAINING SET SELECTION OVER IMBALANCED PROBLEMS
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario
|
2009 | Articulo |
HIERARCHICAL FUZZY RULE BASED CLASSIFICATION SYSTEMS WITH GENETIC RULE SELECTION FOR IMBALANCED DATA-SETS
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2009 | Articulo |
A STUDY OF STATISTICAL TECHNIQUES AND PERFORMANCE MEASURES FOR GENETICS-BASED MACHINE LEARNING: ACCURACY AND INTERPRETABILITY
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2009 | Articulo |
ON THE INFLUENCE OF AN ADAPTIVE INFERENCE SYSTEM IN FUZZY RULE BASED CLASSIFICATION SYSTEMS FOR IMBALANCED DATA-SETS
FRANCISCO HERRERA TRIGUERO, Alberto Fernández Hilario
|
2009 | Articulo |
A STUDY OF THE BEHAVIOUR OF LINGUISTIC FUZZY RULE BASED CLASSIFICATION SYSTEMS IN THE FRAMEWORK OF IMBALANCED DATA-SETS
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario
|
2008 | Articulo |
P23.02 Digital Multiplexed circRNA Analysis From Plasma-Derived Extracellular Vesicles of Lung Cancer Patients
MICHAEL HACKENBERG, Alberto Fernández Hilario
|
- | Articulo |