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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 and Erick G. Sperandio Nascimento
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 sensitive...
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Pat O?Connor and Gemma Irvine
Much of the work on gender equality in higher educational institutions (HEIs) has concentrated on the organizational level. The original contribution of this article lies in its focus on state policy developments and interventions. We focus on Ireland as...
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Nkechinyere Uwajumogu, Ebele Nwokoye, Innocent Ogbonna, Mgbodichimma Okoro (Author)
Pág. 61 - 72
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Gertrude Sebunya Muwanga
Pág. 55 - 105
This is an empirical investigation of the homogeneity of gender disaggregated labor using the Douglas, single/multi-factor translog production functions; and labor productivity functions for the USA. The results based on the single factor translog model,...
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