F. Herrera

发表

Robust classification of different fingerprint copies with deep neural networks for database penetration rate reduction

J. M. Benítez, S. García, Y. Saeys, 2017 .

Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization

S. García, Alejandro Rosales-Pérez, F. Herrera, 2022, IEEE Transactions on Cybernetics.

Triguero, Isaac and González, Sergio and Moyano, Jose M. and García, Salvador and Alcalá-Fdez, Jesús and Luengo, Julian and Fernández, Alberto and del Jesús, Maria José and Sánchez, Luciano and Herrera,

S. García, Alberto Fernández, J. Alcalá-Fdez, 2017 .

On the use of convolutional neural networks for robust classification of multiple fingerprint captures

Francisco Herrera, Yvan Saeys, Salvador García, 2017, Int. J. Intell. Syst..

Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints pdf

Francisco Herrera, Yvan Saeys, Salvador García, 2017, ArXiv.

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal

Humberto Bustince, Carlos Lopez-Molina, Mikel Galar, 2015, Knowl. Based Syst..

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models

Francisco Herrera, Humberto Bustince, Carlos Lopez-Molina, 2015, Knowl. Based Syst..

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

Francisco Herrera, Yvan Saeys, Salvador García, 2017, Knowl. Based Syst..

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

Francisco Herrera, Salvador García, Isaac Triguero, 2015, Knowledge and Information Systems.

On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection

Francisco Herrera, Chris Cornelis, Salvador García, 2012, Soft Computing.

A survey of fingerprint classification Part II

Francisco Herrera, Humberto Bustince, Carlos Lopez-Molina, 2015 .

Instance reduction for one-class classification

Francisco Herrera, Salvador García, Bartosz Krawczyk, 2018, Knowledge and Information Systems.

Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review

J. Carrasco, S. Garc'ia, M. M. Rueda, 2020, Swarm Evol. Comput..

OCAPIS: R package for Ordinal Classification and Preprocessing in Scala

Pedro Antonio Gutiérrez, Francisco Herrera, Salvador García, 2018, Progress in Artificial Intelligence.

A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation

Francisco Herrera, Aythami Morales, Raúl Monroy, 2019, IEEE Access.

GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs

Francisco Herrera, Miguel Lastra, Jaume Bacardit, 2016, Inf. Sci..

Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems

Francisco Herrera, Yvan Saeys, Siham Tabik, 2020, IEEE Access.

On the use of convolutional neural networks for robust classification of multiple fingerprint captures

J. M. Benítez, S. García, Y. Saeys, 2017, Int. J. Intell. Syst..

A snapshot of image pre-processing for convolutional neural networks: case study of MNIST

Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos, 2017, Int. J. Comput. Intell. Syst..

SOUL: Scala Oversampling and Undersampling Library for imbalance classification

Salvador García, Alberto Fernández, Francisco Herrera, 2021, SoftwareX.

An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification

Salvador García, Francisco Herrera, Octavio Loyola-González, 2021, IEEE Access.