Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers.

Albini E, Rago A, Baroni P, Toni F

DOI: 10.3389/frai.2023.1099407
Published: 2023
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2023.1099407,
  title = {Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers.},
  author = {Albini E and Rago A and Baroni P and Toni F},
  year = {2023},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2023.1099407},
  url = {https://doi.org/10.3389/frai.2023.1099407}
}

RIS

TY  - JOUR
TI  - Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers.
AU  - Albini E
AU  - Rago A
AU  - Baroni P
AU  - Toni F
PY  - 2023
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2023.1099407
UR  - https://doi.org/10.3389/frai.2023.1099407
ER  -

APA

E, A., A, R., P, B., & F, T. (2023). Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2023.1099407

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pubmed · retrieved 2026-11-10T11:40:24.943Z