HerreraFrancisco

发表

Addressing imbalanced classification with instance generation techniques

HerreraFrancisco, LopezVictoria, TrigueroIsaac, 2014 .

A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets

HerreraFrancisco, M RodriguezRosa, MartinezLuis, 2013 .

Real-coded memetic algorithms with crossover hill-climbing

HerreraFrancisco, LozanoManuel, KrasnogorNatalio, 2004 .

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

HerreraFrancisco, FernándezAlberto, ElhagSalma, 2015 .

Volume, variety and velocity in Data Science

HerreraFrancisco, Alonso-BetanzosAmparo, A GámezJosé, 2017 .

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems

HerreraFrancisco, P F GarciaLuís, A SáezJosé, 2015 .

Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection

HerreraFrancisco, GarcíaSalvador, LozanoManuel, 2008 .

A survey on fingerprint minutiae-based local matching for verification and identification

HerreraFrancisco, TrigueroIsaac, GarcíaSalvador, 2015 .

Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning

HerreraFrancisco, FernándezAlberto, BustinceHumberto, 2010 .

Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets

HerreraFrancisco, GarcíaSalvador, ChiclanaFrancisco, 2016 .

Region based memetic algorithm for real-parameter optimisation

HerreraFrancisco, MolinaDaniel, LacroixBenjamin, 2014 .

A Survey of Discretization Techniques

HerreraFrancisco, LopezVictoria, GarcíaSalvador, 2013 .

Analysing the classification of imbalanced data-sets with multiple classes

HerreraFrancisco, FernándezAlberto, GalarMikel, 2013 .

Replacement strategies to preserve useful diversity in steady-state genetic algorithms

HerreraFrancisco, LozanoManuel, CanoJosé Ramón, 2008 .

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

HerreraFrancisco, FernándezAlberto, LópezVictoria, 2012 .

A survey of fingerprint classification Part II

HerreraFrancisco, TrigueroIsaac, GarcíaSalvador, 2015 .

Fuzzy rule based classification systems for big data with MapReduce

HerreraFrancisco, FernándezAlberto, BawakidAbdullah, 2017 .

Prototype Selection for Nearest Neighbor Classification

HerreraFrancisco, GarcíaSalvador, DerracJoaquín, 2012 .

A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making

HerreraFrancisco, XuDong-Ling, YangJian-Bo, 2018 .

A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems

HerreraFrancisco, AlcaláRafael, FazzolariMichela, 2014 .

Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making

HerreraFrancisco, ChenLei, XuYejun, 2016 .

On the importance of the validation technique for classification with imbalanced datasets

HerreraFrancisco, FernándezAlberto, LópezVictoria, 2014 .

GPU-SME-kNN

HerreraFrancisco, M BenítezJosé, D GutiérrezPablo, 2016 .

Self-labeled techniques for semi-supervised learning

HerreraFrancisco, TrigueroIsaac, GarcíaSalvador, 2015 .

Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets

HerreraFrancisco, FernándezAlberto, BustinceHumberto, 2016 .

Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data

HerreraFrancisco, KrawczykBartosz, ZhangZhongliang, 2016 .

E-learning and educational data mining in cloud computing

HerreraFrancisco, FernándezAlberto, PeraltaDaniel, 2014 .

Principal Components Analysis Random Discretization Ensemble for Big Data

HerreraFrancisco, Garca-GilDiego, Ramrez-GallegoSergio, 2018 .

A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling

HerreraFrancisco, CordónOscar, MárquezFrancisco Alfredo, 2004 .

A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems

HerreraFrancisco, FernándezAlberto, ElhagSalma, 2019 .

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining

HerreraFrancisco, GarcíaSalvador, FernándezAlberto, 2010 .

On the use of MapReduce for imbalanced big data using Random Forest

HerreraFrancisco, LópezVictoria, BenítezJosé Manuel, 2014 .

Minutiae-based fingerprint matching decomposition

HerreraFrancisco, M BenitezJose, PeraltaDaniel, 2017 .

Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information

HerreraFrancisco, DongYucheng, LiCong-Cong, 2016 .

Big Data with Cloud Computing

HerreraFrancisco, FernándezAlberto, BawakidAbdullah, 2014 .

Evaluating the classifier behavior with noisy data considering performance and robustness

HerreraFrancisco, A SáezJosé, LuengoJulián, 2016 .

A survey on data preprocessing for data stream mining

HerreraFrancisco, KrawczykBartosz, WoniakMicha, 2017 .

Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data

HerreraFrancisco, LópezVictoria, BenítezJosé Manuel, 2015 .

A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour

HerreraFrancisco, GarcíaSalvador, LozanoManuel, 2009 .

Dynamic classifier selection for One-vs-One strategy

HerreraFrancisco, FernándezAlberto, BustinceHumberto, 2013 .

An overview of ensemble methods for binary classifiers in multi-class problems

HerreraFrancisco, FernándezAlberto, BustinceHumberto, 2011 .

A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems

HerreraFrancisco, DucangePietro, MarcelloniFrancesco, 2009 .

A Review on Ensembles for the Class Imbalance Problem

HerreraFrancisco, FernándezAlberto, BustinceHumberto, 2012 .

Stratification for scaling up evolutionary prototype selection

HerreraFrancisco, LozanoManuel, CanoJosé Ramón, 2005 .

Evolutionary undersampling for classification with imbalanced datasets

HerreraFrancisco, GarcíaSalvador, 2009 .

SMOTE for learning from imbalanced data

HerreraFrancisco, GarcíaSalvador, FernándezAlberto, 2018 .