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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "nn2poly" in publications use:'
type: software
license: MIT
title: 'nn2poly: Neural Network Weights Transformation into Polynomial Coefficients'
version: 0.1.1
doi: 10.1016/j.neunet.2021.04.036
identifiers:
- type: doi
  value: 10.32614/CRAN.package.nn2poly
abstract: Implements a method that builds the coefficients of a polynomial model that
  performs almost equivalently as a given neural network (densely connected). This
  is achieved using Taylor expansion at the activation functions. The obtained polynomial
  coefficients can be used to explain features (and their interactions) importance
  in the neural network, therefore working as a tool for interpretability or eXplainable
  Artificial Intelligence (XAI). See Morala et al. 2021 <https://doi.org/10.1016/j.neunet.2021.04.036>,
  and 2023 <https://doi.org/10.1109/TNNLS.2023.3330328>.
authors:
- family-names: Morala
  given-names: Pablo
  email: moralapablo@gmail.com
  orcid: https://orcid.org/0000-0002-4109-2330
- family-names: Ucar
  given-names: Iñaki
  email: iucar@fedoraproject.org
  orcid: https://orcid.org/0000-0001-6403-5550
preferred-citation:
  type: article
  title: Towards a mathematical framework to inform neural network modelling via polynomial
    regression
  authors:
  - family-names: Morala
    given-names: Pablo
    email: moralapablo@gmail.com
    orcid: https://orcid.org/0000-0002-4109-2330
  - family-names: Cifuentes
    given-names: J. Alexandra
  - family-names: Lillo
    given-names: Rosa E.
  - family-names: Ucar
    given-names: I\~naki
  journal: Neural Networks
  month: '10'
  year: '2021'
  volume: '142'
  doi: 10.1016/j.neunet.2021.04.036
  start: '57'
  end: '72'
repository: https://CRAN.R-project.org/package=nn2poly
url: https://ibidat.github.io/nn2poly/
date-released: '2024-01-30'
contact:
- family-names: Morala
  given-names: Pablo
  email: moralapablo@gmail.com
  orcid: https://orcid.org/0000-0002-4109-2330
references:
- type: article
  title: 'NNN2Poly: A Polynomial Representation for Deep Feed-Forward Artificial Neural
    Networks'
  authors:
  - family-names: Morala
    given-names: Pablo
  - family-names: Cifuentes
    given-names: J. Alexandra
  - family-names: Lillo
    given-names: Rosa E.
  - family-names: Ucar
    given-names: I\~naki
  journal: IEEE Transactions on Neural Networks and Learning Systems
  year: '2023'
  doi: 10.1109/TNNLS.2023.3330328