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Francisco Charte

University of Jaén

56

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516

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Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study

2021 HAIS | Hybrid Artificial Intelligence Systems
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ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders

2021 Information Sciences
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EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search

2020 Integrated Computer-aided Engineering
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E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

2020 Neurocomputing
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Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, Tips and guidelines.

2020 Information Fusion
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A Comprehensive and Didactic Review on Multilabel Learning Software Tools

2020 IEEE Access
- Francisco Charte
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Data Preprocessing [R package smartdata version 1.0.3]

2019
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Implementation of Unsupervised Neural Architectures [R package ruta version 1.1.0]

2019
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A Showcase of the Use of Autoencoders in Feature Learning Applications.

2019 IWINAC | International Work-Conference on the Interplay Between Natural and Artificial Computation
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A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations

2019 Progress in Artificial Intelligence
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