Alberto Fernández

112 papers B 15C 8Misc 3Journal 66Unranked 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A data-morphology-based counterfactual generation method for trustworthy artificial intelligence.
Inf. Sci.
José Daniel Pascual-Triana, Alberto Fernández, Javier Del Ser, Francisco Herrera
2024 B conf
A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities.
IJCNN
J. Lopez-Martinez, Purificación Checa, José Manuel Soto-Hidalgo, Isaac Triguero, Alberto Fernández
2024 J jnl
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction.
CoRR
José Daniel Pascual-Triana, Alberto Fernández, Paulo Novais, Francisco Herrera
2024 J jnl
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence.
CoRR
José Daniel Pascual-Triana, Alberto Fernández, Javier Del Ser, Francisco Herrera
2023 J jnl
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research.
Inf. Fusion
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos
2023 J jnl
Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding.
IEEE Trans. Fuzzy Syst.
Fatemeh Aghaeipoor, Mohammad Sabokrou, Alberto Fernández
2022 J jnl
An efficiency curve for evaluating imbalanced classifiers considering intrinsic data characteristics: Experimental analysis.
Inf. Sci.
Xiangrui Chao, Gang Kou, Yi Peng, Alberto Fernández
2022 J jnl
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification.
Pattern Recognit.
Sebastián Maldonado, Carla Vairetti, Alberto Fernández, Francisco Herrera
2022 J jnl
IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data.
IEEE Trans. Fuzzy Syst.
Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Alberto Fernández
2022 J jnl
On the joint-effect of class imbalance and overlap: a critical review.
Artif. Intell. Rev.
Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos
2022 J jnl
The impact of heterogeneous distance functions on missing data imputation and classification performance.
Eng. Appl. Artif. Intell.
Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernández, Julián Luengo, João A. M. Santos
2021 B ed.
Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings
IDA
Pedro Henriques Abreu, Pedro Pereira Rodrigues, Alberto Fernández, João Gama
2021 J jnl
Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies.
Neurocomputing
J. A. Fdez-Sánchez, José Daniel Pascual-Triana, Alberto Fernández, Francisco Herrera
2021 J jnl
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect.
Knowl. Inf. Syst.
José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera
2021 J jnl
SOUL: Scala Oversampling and Undersampling Library for imbalance classification.
SoftwareX
Néstor Rodríguez, David López, Alberto Fernández, Salvador García, Francisco Herrera
2020 — conf
Applying Feature Selection to Improve Predictive Performance and Explainability in Lung Cancer Detection with Soft Computing.
HICSS
Nicolas Potie, Stavros Giannoukakos, Michael Hackenberg, Alberto Fernández
2020 B conf
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach.
FUZZ-IEEE
Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Isaac Triguero, Alberto Fernández
2020 J jnl
Discussion on Vuttipittayamongkol, P. and Elyan, E., Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease.
Int. J. Neural Syst.
Alberto Fernández
2020 B conf
HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules.
FUZZ-IEEE
José Ramón Trillo, Alberto Fernández, Francisco Herrera
2020 J jnl
Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect.
CoRR
José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera
2019 J jnl
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity.
IEEE Trans. Fuzzy Syst.
Javier Cózar, Alberto Fernández, Francisco Herrera, José A. Gámez
2019 J jnl
A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems.
Soft Comput.
Salma Elhag, Alberto Fernández, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera
2019 — conf
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing.
JCC&BD
María José Basgall, Waldo Hasperué, Marcelo R. Naiouf, Alberto Fernández, Francisco Herrera
2019 J jnl
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
IEEE Comput. Intell. Mag.
Alberto Fernández, Francisco Herrera, Oscar Cordón, María José del Jesus, Francesco Marcelloni
2019 J jnl
Guest Editorial: Computational Intelligence for Big Data Analytics.
Cogn. Comput.
Alberto Fernández, Isaac Triguero, Mikel Galar, Francisco Herrera
2019 B conf
On the Need of Interpretability for Biomedical Applications: Using Fuzzy Models for Lung Cancer Prediction with Liquid Biopsy.
FUZZ-IEEE
Nicolas Potie, Stavros Giannoukakos, Michael Hackenberg, Alberto Fernández
2018 J jnl
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce.
Inf. Fusion
Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera
2018 J jnl
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach.
Knowl. Inf. Syst.
Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera
2018 J jnl
Imbalance: Oversampling algorithms for imbalanced classification in R.
Knowl. Based Syst.
Ignacio Cordón, Salvador García, Alberto Fernández, Francisco Herrera
2018 B conf
Improving Fuzzy Rule Based Classification Systems in Big Data via Support-based Filtering.
FUZZ-IEEE
Luis Íñiguez, Mikel Galar, Alberto Fernández
2018 — book
Learning from Imbalanced Data Sets
Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera
2018 J jnl
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.
J. Artif. Intell. Res.
Alberto Fernández, Salvador García, Francisco Herrera, Nitesh V. Chawla
2018 J jnl
SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data.
J. Comput. Sci. Technol.
María José Basgall, Waldo Hasperué, Marcelo R. Naiouf, Alberto Fernández, Francisco Herrera
2018 J jnl
Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers.
BMC Bioinform.
Deborah Galpert, Alberto Fernández, Francisco Herrera, Agostinho Antunes, Reinaldo Molina Ruiz, Guillermín Agüero-Chapín
2017 J jnl
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Int. J. Neural Syst.
Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera
2017 Misc conf
A Review of Distributed Data Models for Learning.
HAIS
Miguel Ángel Rodríguez, Alberto Fernández, Antonio Peregrín, Francisco Herrera
2017 B conf
Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems.
FUZZ-IEEE
Alberto Fernández, Eva Almansa, Francisco Herrera
2017 J jnl
Fuzzy rule based classification systems for big data with MapReduce: granularity analysis.
Adv. Data Anal. Classif.
Alberto Fernández, Sara del Río, Abdullah Bawakid, Francisco Herrera
2017 J jnl
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.
Int. J. Comput. Intell. Syst.
Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera
2017 J jnl
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem.
Inf. Fusion
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
2017 J jnl
Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?
Int. J. Comput. Intell. Syst.
Alberto Fernández, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera
2016 B conf
A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification.
FUZZ-IEEE
Alberto Fernández, Sara del Río, Francisco Herrera
2016 J jnl
A View on Fuzzy Systems for Big Data: Progress and Opportunities.
Int. J. Comput. Intell. Syst.
Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera
2016 J jnl
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reason.
Alberto Fernández, Mikel Elkano, Mikel Galar, José Antonio Sanz, Saleh Alshomrani, Humberto Bustince, Francisco Herrera
2016 — conf
Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification.
Fuzzy Logic and Information Fusion
Alberto Fernández, Francisco Herrera
2016 J jnl
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets.
Inf. Sci.
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
2015 J jnl
A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets.
Knowl. Based Syst.
Saleh Alshomrani, Abdullah Bawakid, Seong-O Shim, Alberto Fernández, Francisco Herrera
2015 C conf
Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection.
IDEAL
Alberto Fernández, María José del Jesus, Francisco Herrera
2015 J jnl
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems.
Pattern Recognit.
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera
2015 J jnl
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Syst.
Mikel Elkano, Mikel Galar, José Antonio Sanz, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera, Humberto Bustince
2015 — conf
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection.
IFSA-EUSFLAT
Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Francisco Herrera
2015 B conf
Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level.
FUZZ-IEEE
Pedro Villar, Alberto Fernández, Rosana Montes, Ana Maria Sánchez, Francisco Herrera
2015 — conf
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets.
CORES
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
2015 — conf
On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO.
CORES
Pedro Villar, Alberto Fernández, Francisco Herrera
2015 J jnl
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems.
Expert Syst. Appl.
Salma Elhag, Alberto Fernández, Abdullah Bawakid, Saleh Alshomrani, Francisco Herrera
2015 B conf
On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm.
FUZZ-IEEE
Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Oscar Cordón, Francisco Herrera
2015 J jnl
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges.
Knowl. Based Syst.
Alberto Fernández, Victoria López, María José del Jesus, Francisco Herrera
2014 J jnl
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks.
WIREs Data Mining Knowl. Discov.
Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera
2014 J jnl
E-learning and educational data mining in cloud computing: an overview.
Int. J. Learn. Technol.
Alberto Fernández, Daniel Peralta, José Manuel Benítez, Francisco Herrera
2014 J jnl
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems.
Inf. Sci.
Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera
2014 C conf
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions.
FUSION
Mikel Galar, Edurne Barrenechea Tartas, Alberto Fernández, Francisco Herrera
2014 J jnl
On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed.
Inf. Sci.
Victoria López, Alberto Fernández, Francisco Herrera
2013 J jnl
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets.
Knowl. Based Syst.
Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera
2013 B conf
Addressing covariate shift for Genetic Fuzzy Systems classifiers: A case of study with FARC-HD for imbalanced datasets.
FUZZ-IEEE
Victoria López, Alberto Fernández, Francisco Herrera
2013 J jnl
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics.
Inf. Sci.
Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera
2013 J jnl
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Knowl. Based Syst.
Alberto Fernández, Victoria López, Mikel Galar, María José del Jesus, Francisco Herrera
2013 J jnl
Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers.
Pattern Recognit.
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2013 J jnl
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling.
Pattern Recognit.
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera
2013 J jnl
IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection.
IEEE Trans. Fuzzy Syst.
José Antonio Sanz, Alberto Fernández, Humberto Bustince, Francisco Herrera
2012 J jnl
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches.
IEEE Trans. Syst. Man Cybern. Part C
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2012 — conf
An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing.
KMO
Alberto Fernández, Sara del Río, Francisco Herrera, José Manuel Benítez
2012 J jnl
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics.
Expert Syst. Appl.
Victoria López, Alberto Fernández, Jose G. Moreno-Torres, Francisco Herrera
2012 — conf
Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations.
ICPRAM (2)
Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera
2012 J jnl
Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Pedro Villar, Alberto Fernández, Ramón Alberto Carrasco, Francisco Herrera
2012 — ch.
Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle.
Combining Experimentation and Theory
Alberto Fernández, Francisco Herrera
2011 — conf
A case study on medical diagnosis of cardiovascular diseases using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets.
T2FUZZ
José Antonio Sanz, Miguel Pagola, Humberto Bustince, Antonio Brugos, Alberto Fernández, Francisco Herrera
2011 J jnl
A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position.
Int. J. Approx. Reason.
José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera
2011 J jnl
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling.
Soft Comput.
Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera
2011 — conf
Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution.
HAIS (1)
Alberto Fernández, Salvador García, Francisco Herrera
2011 J jnl
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes.
Pattern Recognit.
Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2011 — conf
Construction of Interval-Valued Fuzzy Preference Relations Using Ignorance Functions: Interval-Valued Non Dominance Criterion.
Eurofuse
Edurne Barrenechea, Alberto Fernández, Francisco Herrera, Humberto Bustince
2011 J jnl
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework.
J. Multiple Valued Log. Soft Comput.
Jesús Alcalá-Fdez, Alberto Fernández, Julián Luengo, Joaquín Derrac, Salvador García
2011 B conf
On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees.
FUZZ-IEEE
José Antonio Sanz, Humberto Bustince Sola, Alberto Fernández, Francisco Herrera
2011 B conf
Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets.
FUZZ-IEEE
Pedro Villar, Alberto Fernández, Francisco Herrera
2010 — conf
A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
IPMU (1)
Pedro Villar, Alberto Fernández, Francisco Herrera
2010 C conf
A first approach for cost-sensitive classification with linguistic Genetic Fuzzy Systems in imbalanced data-sets.
ISDA
Victoria López, Alberto Fernández, Francisco Herrera
2010 B conf
A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets.
FUZZ-IEEE
José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera
2010 J jnl
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power.
Inf. Sci.
Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera
2010 — conf
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection.
GEFS
Alberto Fernández, María José del Jesus, Francisco Herrera
2010 J jnl
Analysis of an evolutionary RBFN design algorithm, CO
Pattern Recognit. Lett.
M. Dolores Pérez-Godoy, Alberto Fernández, Antonio Jesús Rivera Rivas, María José del Jesus
2010 J jnl
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study.
IEEE Trans. Evol. Comput.
Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera
2010 J jnl
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning.
Inf. Sci.
José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera
2010 C conf
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning.
IPMU
Alberto Fernández, María José del Jesus, Francisco Herrera
2010 J jnl
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets.
Inf. Sci.
Alberto Fernández, María José del Jesus, Francisco Herrera
2010 J jnl
Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations.
Fuzzy Sets Syst.
Alberto Fernández, María Calderón, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2009 Misc conf
A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets.
HAIS
José Antonio Sanz, Alberto Fernández, Humberto Bustince Sola, Francisco Herrera
2009 — conf
A Preliminar Analysis of CO2RBFN in Imbalanced Problems.
IWANN (1)
M. Dolores Pérez-Godoy, Antonio Jesús Rivera Rivas, Alberto Fernández, María José del Jesus, Francisco Herrera
2009 B conf
A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets.
FUZZ-IEEE
Pedro Villar, Alberto Fernández, Francisco Herrera
2009 J jnl
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.
Soft Comput.
Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera
2009 C conf
Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5.
ISDA
Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera
2009 J jnl
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems.
Appl. Soft Comput.
Salvador García, Alberto Fernández, Francisco Herrera
2009 — conf
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets.
IFSA/EUSFLAT Conf.
Alberto Fernández, Francisco José Berlanga, María José del Jesus, Francisco Herrera
2009 J jnl
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets.
Int. J. Approx. Reason.
Alberto Fernández, María José del Jesus, Francisco Herrera
2009 C conf
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool.
IDEAL
Alberto Fernández, Julián Luengo, Joaquín Derrac, Jesús Alcalá-Fdez, Francisco Herrera
2009 — conf
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.
IWANN (1)
Alberto Fernández, María José del Jesus, Francisco Herrera
2009 J jnl
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets.
Expert Syst. Appl.
Alberto Fernández, María José del Jesus, Francisco Herrera
2008 C conf
A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets.
HIS
Alberto Fernández, María José del Jesus, Francisco Herrera
2008 J jnl
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets Syst.
Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera
2008 — conf
KEEL: A data mining software tool integrating genetic fuzzy systems.
GEFS
Jesús Alcalá-Fdez, Salvador García, Francisco José Berlanga, Alberto Fernández, Luciano Sánchez, María José del Jesus, Francisco Herrera
2007 Misc conf
A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.
IWANN
Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera
2007 — conf
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.
WILF
Alberto Fernández, Salvador García, Francisco Herrera, María José del Jesus
2006 C conf
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems.
IDEAL
Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera