FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Universidad Pública de Navarra
Pamplona, EspañaPublicaciones en colaboración con investigadores/as de Universidad Pública de Navarra (52)
2023
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Generalizing max pooling via (a,b)-grouping functions for Convolutional Neural Networks
Information Fusion, Vol. 99
2022
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Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions
Neural networks : the official journal of the International Neural Network Society, Vol. 152, pp. 380-393
2019
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Guest Editorial: Computational Intelligence for Big Data Analytics
Cognitive Computation
2018
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A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
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Dynamic ensemble selection for multi-class classification with one-class classifiers
Pattern Recognition, Vol. 83, pp. 34-51
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NMC, Nearest Matrix Classification: a new combination model for pruning one-vs-one ensembles by transforming the aggregation problem
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
2017
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A first attempt on global evolutionary undersampling for imbalanced big data
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings
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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
2016
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A historical account of types of fuzzy sets and their relationships
IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 1, pp. 179-194
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A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress
Information Fusion, Vol. 29, pp. 89-97
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Comments on 'interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: Towards a wide view on their relationship'
IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 1, pp. 249-250
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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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Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
Applied Soft Computing Journal, Vol. 38, pp. 714-726
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Evolutionary undersampling for extremely imbalanced big data classification under apache spark
2016 IEEE Congress on Evolutionary Computation, CEC 2016
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INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control
Information Fusion, Vol. 27, pp. 19-32
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New ordering-based pruning metrics for ensembles of classifiers in imbalanced datasets
Advances in Intelligent Systems and Computing
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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 Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data
IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 4, pp. 973-990
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A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models
Knowledge-Based Systems, Vol. 81, pp. 76-97
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A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal
Knowledge-Based Systems, Vol. 81, pp. 98-116