Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Fernanda V. N. Lisboa"'
Autor:
Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Rodrigo M. Peixoto, Guilherme A. S. Guimarães, Gustavo O. R. Cruz, Maira M. Araujo, Lucas L. Santos, Marco A. S. Cruz, Ewerton L. S. Oliveira, Ingrid Winkler, Erick G. S. Nascimento
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 15 (2023)
One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness and bias. This study exami
Externí odkaz:
https://doaj.org/article/28c4c50f82ee419a9573c4b45b032d45
Autor:
Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler, Erick G. Sperandio Nascimento
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 1, p 27 (2023)
The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensi
Externí odkaz:
https://doaj.org/article/da7d791d0a5b45dcb6bfc7c486cd58f7
Autor:
Pagano, Tiago P., Loureiro, Rafael B., Lisboa, Fernanda V. N., Cruz, Gustavo O. R., Peixoto, Rodrigo M., Guimarães, Guilherme A. de Sousa, Oliveira, Ewerton L. S., Winkler, Ingrid, Nascimento, Erick G. Sperandio
Publikováno v:
Big Data & Cognitive Computing; Mar2023, Vol. 7 Issue 1, p27, 18p
Autor:
Pagano, Tiago P., Loureiro, Rafael B., Lisboa, Fernanda V. N., Peixoto, Rodrigo M., Guimarães, Guilherme A. S., Cruz, Gustavo O. R., Araujo, Maira M., Santos, Lucas L., Cruz, Marco A. S., Oliveira, Ewerton L. S., Winkler, Ingrid, Nascimento, Erick G. S.
Publikováno v:
Big Data & Cognitive Computing; Mar2023, Vol. 7 Issue 1, p15, 31p