Victoria López

发表

On the Usefulness of Fuzzy Rule Based Systems Based on Hierarchical Linguistic Fuzzy Partitions

Francisco Herrera, Alberto Fernández, María José del Jesus, 2011 .

Comparison of KEEL versus open source Data Mining tools : Knime and Weka software Complementary Material for the paper KEEL : Multi-Stage Analysis in Data Mining

José A. Sáez, S. García, F. Herrera, 2016 .

A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms

Francisco Herrera, Salvador García, Cristóbal J. Carmona, 2012, ICPRAM.

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

Francisco Herrera, Salvador García, Alberto Fernández, 2013, Inf. Sci..

On mistakes we made in prior Computational Psychiatry Data driven approach projects and how they jeopardize translation of those findings in clinical practice pdf

Victoria Lopez, David Pokrajac, Milena vCuki'c Radenkovi'c, 2020, IntelliSys.

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

Francisco Herrera, Alberto Fernández, Victoria López, 2012, Expert Syst. Appl..

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

María José del Jesús, Francisco Herrera, Alberto Fernández, 2013, Knowl. Based Syst..

Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges

María José del Jesús, Francisco Herrera, Alberto Fernández, 2015, Knowl. Based Syst..

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

Francisco Herrera, José Manuel Benítez, Victoria López, 2015, Fuzzy Sets Syst..

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

Francisco Herrera, José Manuel Benítez, Victoria López, 2014, Inf. Sci..

Addressing imbalanced classification with instance generation techniques: IPADE-ID

Francisco Herrera, Salvador García, Cristóbal J. Carmona, 2014, Neurocomputing.

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

Francisco Herrera, Alberto Fernández, Victoria López, 2014, Inf. Sci..

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

Francisco Herrera, Alberto Fernández, Victoria López, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

Mikel Galar, María José del Jesus, Francisco Herrera, 2013, Knowl. Based Syst..

A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning

Francisco Herrera, Salvador García, Julián Luengo, 2013, IEEE Transactions on Knowledge and Data Engineering.

Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

María José del Jesús, Francisco Herrera, Alberto Fernández, 2014, WIREs Data Mining Knowl. Discov..

Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations

María José del Jesús, Francisco Herrera, Alberto Fernández, 2012, ICPRAM.

ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem

Francisco Herrera, Jaume Bacardit, José Manuel Benítez, 2015, Knowl. Based Syst..

A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules

Francisco Herrera, José Manuel Benítez, Victoria López, 2015, Int. J. Comput. Intell. Syst..