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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Martins, T., de Almeida, A., Cardoso, E. & Nunes, L. (2024). Explainable artificial intelligence (XAI): A systematic literature review on taxonomies and applications in finance. IEEE Access. 12, 618-629
Exportar Referência (IEEE) 
T. Martins et al.,  "Explainable artificial intelligence (XAI): A systematic literature review on taxonomies and applications in finance", in IEEE Access, vol. 12, pp. 618-629, 2024
Exportar BibTeX 
@article{martins2024_1734836734448,
	author = "Martins, T. and de Almeida, A. and Cardoso, E. and Nunes, L.",
	title = "Explainable artificial intelligence (XAI): A systematic literature review on taxonomies and applications in finance",
	journal = "IEEE Access",
	year = "2024",
	volume = "12",
	number = "",
	doi = "10.1109/ACCESS.2023.3347028",
	pages = "618-629",
	url = "https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10373833"
}
Exportar RIS 
TY  - JOUR
TI  - Explainable artificial intelligence (XAI): A systematic literature review on taxonomies and applications in finance
T2  - IEEE Access
VL  - 12
AU  - Martins, T.
AU  - de Almeida, A.
AU  - Cardoso, E.
AU  - Nunes, L.
PY  - 2024
SP  - 618-629
SN  - 2169-3536
DO  - 10.1109/ACCESS.2023.3347028
UR  - https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10373833
AB  - Explainable Artificial Intelligence (XAI) is a growing area of research that aims to improve the
interpretability of the not-so-informative black-box models. However, it is currently difficult to categorize
an existing method in terms of its intrinsic characteristics and explainability. We provide a new unified yet
simple taxonomy for the categorization of XAI methods and present the explainability methods currently
being applied in finance applications. For both purposes, we present two separate systematic literature
reviews: an anthological search for surveys on XAI methods in order to present a unified taxonomy, followed
by an exposition of the XAI methods currently in use that have been found. We also concisely define the
existing explainability methods using the proposed categories based on the ones most commonly addressed
in the reviewed literature and pinpoint specific XAI methods being used in practical applications in Finance.
ER  -