ALBERTO LUIS
FERNÁNDEZ HILARIO
CATEDRÁTICO DE UNIVERSIDAD
King Abdulaziz University
Jeddah, Arabia SaudíPublicaciones en colaboración con investigadores/as de King Abdulaziz University (19)
2022
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FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification
Pattern Recognition, Vol. 124
2021
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Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies
Neurocomputing, Vol. 463, pp. 514-524
2019
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A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity
IEEE Transactions on Fuzzy Systems, Vol. 27, Núm. 4, pp. 701-715
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A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems
Soft Computing, Vol. 23, Núm. 4, pp. 1321-1336
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Evolutionary fuzzy systems: A case study for intrusion detection systems
Studies in Computational Intelligence (Springer Verlag), pp. 169-190
2018
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Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach
Knowledge and Information Systems, Vol. 56, Núm. 1, pp. 55-84
2017
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A pareto-based ensemble with feature and instance selection for learning from multi-class imbalanced datasets
International Journal of Neural Systems, Vol. 27, Núm. 6
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Fuzzy rule based classification systems for big data with MapReduce: granularity analysis
Advances in Data Analysis and Classification, Vol. 11, Núm. 4, pp. 711-730
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NMC: nearest matrix classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem
Information Fusion, Vol. 36, pp. 26-51
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Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?
International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1211-1225
2016
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A View on Fuzzy Systems for Big Data: Progress and Opportunities
International Journal of Computational Intelligence Systems, Vol. 9, pp. 69-80
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Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC)
International Journal of Approximate Reasoning, Vol. 73, pp. 108-122
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Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets
Information Sciences, Vol. 354, pp. 178-196
2015
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A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets
Knowledge-Based Systems, Vol. 73, pp. 1-17
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Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between n-Dimensional Overlap Functions and Decomposition Strategies
IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 5, pp. 1562-1580
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On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems
Expert Systems with Applications, Vol. 42, Núm. 1, pp. 193-202
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Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges
Knowledge-Based Systems, Vol. 80, pp. 109-121
2014
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Big Data with Cloud Computing: An insight on the computing environment, MapReduce, and programming frameworks
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 4, Núm. 5, pp. 380-409
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Empowering difficult classes with a similarity-based aggregation in multi-class classification problems
Information Sciences, Vol. 264, pp. 135-157