Alberto Fernández
Alberto Fernández
Assistant Professor in Computer Science and Artificial Intelligence, University of Granada
Dirección de correo verificada de decsai.ugr.es - Página principal
TítuloCitado porAño
KEEL data-mining software tool: data set repository, integration of algorithms and experimental analysis framework
J Alcalá-Fdez, A Fernández, J Luengo, J Derrac, ...
Journal of Multiple-Valued Logic and Soft Computing 17 (2-3), 255-287, 2011
15682011
A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches
M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2012
13042012
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
S García, A Fernández, J Luengo, F Herrera
Information Sciences 180 (10), 2044-2064, 2010
11802010
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
V López, A Fernández, S García, V Palade, F Herrera
Information sciences 250, 113-141, 2013
8022013
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability
S García, A Fernández, J Luengo, F Herrera
Soft Computing 13 (10), 959, 2009
5242009
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
M Galar, A Fernández, E Barrenechea, H Bustince, F Herrera
Pattern Recognition 44 (8), 1761-1776, 2011
4932011
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
A Fernández, S García, MJ del Jesus, F Herrera
Fuzzy Sets and Systems 159 (18), 2378-2398, 2008
2212008
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks
A Fernández, S del Río, V López, A Bawakid, MJ del Jesus, JM Benítez, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (5 …, 2014
2202014
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling
M Galar, A Fernández, E Barrenechea, F Herrera
Pattern Recognition 46 (12), 3460-3471, 2013
2122013
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
A Fernández, V López, M Galar, M José del Jesus, F Herrera
Knowledge-Based Systems, 2013
1942013
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
V López, A Fernández, JG Moreno-Torres, F Herrera
Expert Systems with Applications 39 (7), 6585-6608, 2012
1862012
Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets
A Fernández, MJ del Jesus, F Herrera
International Journal of Approximate Reasoning 50 (3), 561-577, 2009
1652009
Genetics-based machine learning for rule induction: state of the art, taxonomy, and comparative study
A Fernández, S García, J Luengo, E Bernadó-Mansilla, F Herrera
IEEE Transactions on Evolutionary Computation 14 (6), 913-941, 2010
1512010
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on intrusion detection systems
S Elhag, A Fernández, A Bawakid, S Alshomrani, F Herrera
Expert Systems with Applications 42 (1), 193-202, 2015
1342015
A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: Degree of ignorance and lateral position
J Sanz, A Fernández, H Bustince, F Herrera
International Journal of Approximate Reasoning 52 (6), 751-766, 2011
1292011
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling
J Luengo, A Fernández, S García, F Herrera
Soft Computing-A Fusion of Foundations, Methodologies and Applications 15 …, 2011
1212011
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning
JA Sanz, A Fernández, H Bustince, F Herrera
Information Sciences 180 (19), 3674-3685, 2010
1202010
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
A Fernández, MJ del Jesus, F Herrera
Information Sciences 180 (8), 1268-1291, 2010
1122010
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges
A Fernandez, V Lopez, MJ del Jesus, F Herrera
KNOWLEDGE-BASED SYSTEMS 80, 109-121, 2015
1102015
IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection
JA Sanz, A Fernandez, H Bustince, F Herrera
IEEE Transactions on Fuzzy Systems 21 (3), 399-411, 2013
1042013
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20