Alberto Fernandez Hilario

All papers authored by Alberto Fernandez Hilario

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2019 Javier Cozar

, Alberto Fernandez

, Francisco Herrera

, Jose A. Gamez

A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity

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2015 Alberto Fernández

, Victoria López, María José del Jesus, Francisco Herrera

Revisiting Evolutionary Fuzzy Systems: Taxonomy, Applications, New Trends and Challenges

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Salma Elhag, Alberto Fernández

, Abdullah Bawakid, Saleh Alshomrani, Francisco Herrera

On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems

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Mikel Galar, Alberto Fernández

, Edurne Barrenechea, Francisco Herrera

DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems

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2014 M. Galar, E. Barrenechea, A. Fernández

, F. Herrera

Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions

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Mikel Galar, Alberto Fernández

, Edurne Barrenechea, Francisco Herrera

Empowering difficult classes with a similarity-based aggregation in multi-class classification problems

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Victoria López, Alberto Fernández

, Francisco Herrera

On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed

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Saleh Alshomrani, Abdullah Bawakid, Seong-O. Shim, Alberto Fernández

, Francisco Herrera

A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets

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2013 Victoria López, Alberto Fernández

, Salvador García, Vasile Palade, Francisco Herrera

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

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Victoria Lopez, Alberto Fernandez

, Francisco Herrera

Addressing covariate shift for Genetic Fuzzy Systems classifiers: A case of study with FARC-HD for imbalanced datasets

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Jose Antonio Sanz, Alberto Fernandez

, Humberto Bustince, Francisco Herrera

IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection

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Mikel Galar, Alberto Fernández

, Edurne Barrenechea, Francisco Herrera

EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

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Mikel Galar, Alberto Fernández

, Edurne Barrenchea, Edurne Barrenechea, Humberto Bustince, Francisco Herrera

Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers

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Alberto Fernández

, Victoria López, Mikel Galar, María José del Jesus, Francisco Herrera

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

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A. Fernández

, S. del Río, F. Herrera, J. M. Benítez

An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing

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Victoria López, Alberto Fernández

, María José del Jesus, Francisco Herrera

A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets

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2012 J. Sanz, H. Bustince, A. FernÁndez

, F. Herrera

IIVFDT: Ignorance functions based interval-valued fuzzy decision tree with genetic tuning

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Mikel Galar, Alberto Fernandez

, Edurne Barrenechea, Humberto Bustince, Francisco Herrera

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

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Victoria López, Alberto Fernández

, Jose G. Moreno Torres, Francisco Herrera

Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics

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Pedro Villar, Alberto Fernández

, Ramón A. Carrasco, Francisco Herrera

Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets

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All papers authored by Alberto Fernandez Hilario