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REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study


Nov 11, 2022
Iván Sevillano-García, Julián Luengo-Martín, Francisco Herrera


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Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation


Sep 09, 2022
Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang

* 12 pages, 5 figures, Submitted to IEEE TNNLS 

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TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study)


Jun 08, 2022
Ignacio Aguilera-Martos, √Āngel M. Garc√≠a-Vico, Juli√°n Luengo, Sergio Damas, Francisco J. Melero, Jos√© Javier Valle-Alonso, Francisco Herrera

* 26 pages, 33 figures 

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Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization


May 20, 2022
Javier Del Ser, Alejandro Barredo-Arrieta, Natalia Díaz-Rodríguez, Francisco Herrera, Andreas Holzinger

* 52 pages, 14 figures, under review 

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


Apr 21, 2022
Alejandro Rosales-Pérez, Salvador García, Francisco Herrera

* IEEE Transactions on Cybernetics, Early Access, april 13, 2022 
* Copyright 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks


Feb 08, 2022
Javier Poyatos, Daniel Molina, Aritz. D. Martinez, Javier Del Ser, Francisco Herrera


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Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges


Jan 20, 2022
Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara


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Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions


Jan 17, 2022
Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva van Rikxoort, Avishek Chatterjee, Henry Woodruff, Philippe Lambin, Leonor Cerdá-Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang

* 54 pages, 14 figures, accepted by the Information Fusion journal 

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Reducing Data Complexity using Autoencoders with Class-informed Loss Functions


Nov 11, 2021
David Charte, Francisco Charte, Francisco Herrera

* This paper has been accepted for publication by IEEE Transactions on Pattern Analysis and Machine Intelligence 

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A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training


Sep 08, 2021
Anabel Gómez-Ríos, Julián Luengo, Francisco Herrera

* 29 pages, 2 figures 

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