cvreferences.bib

@article{pascual2021revisiting,
  title={Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect},
  author={{José Daniel Pascual-Triana} and Charte, David and Arroyo, Marta Andr{\'e}s and Fern{\'a}ndez, Alberto and Herrera, Francisco},
  journal={Knowledge and Information Systems},
  pages={1--29},
  year={2021},
  publisher={Springer}
}
@article{tabik2020covidgr,
  title={COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images},
  author={{Siham Tabik} and G{\'o}mez-R{\'\i}os, Anabel and Mart{\'\i}n-Rodr{\'\i}guez, Jos{\'e} Luis and Sevillano-Garc{\'\i}a, Iv{\'a}n and Rey-Area, Manuel and Charte, David and Guirado, Emilio and Su{\'a}rez, Juan-Luis and Luengo, Juli{\'a}n and Valero-Gonz{\'a}lez, MA and others},
  journal={IEEE Journal of Biomedical and Health Informatics},
  volume={24},
  number={12},
  pages={3595--3605},
  year={2020},
  publisher={IEEE}
}
@article{charte2020analysis,
  title={An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges},
  author={{David Charte} and Charte, Francisco and del Jesus, Mar{\'\i}a J and Herrera, Francisco},
  journal={Neurocomputing},
  volume={404},
  pages={93--107},
  year={2020},
  publisher={Elsevier}
}
@article{charte2019ruta,
  title={Ruta: Implementations of neural autoencoders in R},
  author={{David Charte} and Herrera, Francisco and Charte, Francisco},
  journal={Knowledge-Based Systems},
  volume={174},
  pages={4--8},
  year={2019},
  publisher={Elsevier}
}
@article{charte2019snapshot,
  title={A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations},
  author={{David Charte} and Charte, Francisco and Garc{\'\i}a, Salvador and Herrera, Francisco},
  journal={Progress in Artificial Intelligence},
  volume={8},
  number={1},
  pages={1--14},
  year={2019},
  publisher={Springer}
}


@article{CHARTE201878,
title = "A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines",
journal = "Information Fusion",
volume = "44",
pages = "78 - 96",
year = "2018",
issn = "1566-2535",
doi = "https://doi.org/10.1016/j.inffus.2017.12.007",
url = "http://www.sciencedirect.com/science/article/pii/S1566253517307844",
author = "{David Charte} and Francisco Charte and Salvador García and María J. del Jesus and Francisco Herrera",
keywords = "Autoencoders, Feature fusion, Feature extraction, Representation learning, Deep learning, Machine learning"
}

@article{CHARTE201868,
title = "Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository",
journal = "Neurocomputing",
volume = "289",
pages = "68 - 85",
year = "2018",
issn = "0925-2312",
doi = "https://doi.org/10.1016/j.neucom.2018.02.011",
url = "http://www.sciencedirect.com/science/article/pii/S0925231218301401",
author = "{Francisco Charte} and Antonio J. Rivera and David Charte and María J. del Jesus and Francisco Herrera",
keywords = "Multi-label, Software, Tools, Datasets, Repository"
}

@inproceedings{rumdr,
  title={R ultimate multilabel dataset repository},
  author={{Francisco Charte} and Charte, David and Rivera, Antonio and del Jesus, María José and Herrera, Francisco},
  booktitle={International Conference on Hybrid Artificial Intelligence Systems},
  pages={487--499},
  year={2016},
  organization={Springer}
}


% Little hack because otherwise first author fails to be correctly formatted in the cv :(
@article{mldr,
  title={Working with multilabel datasets in R: the mldr package},
  author={{Francisco Charte} and Charte, David},
  pages = {149--162},
  year = {2015},
  journal = {The R Journal},
  volume = {7},
  issue = {2}
}

@inproceedings{mldrcaepia,
  title={mldr: Paquete R para Exploración de Datos Multietiqueta},
  author={{David Charte} and Charte, Francisco},
  booktitle={Conferencia de la Asociación Española para la Inteligencia Artificial},
  pages={695--704},
  year={2015},
  organization={AEPIA}
}