Cargando…
Dbias: detecting biases and ensuring fairness in news articles
Because of the increasing use of data-centric systems and algorithms in machine learning, the topic of fairness is receiving a lot of attention in the academic and broader literature. This paper introduces Dbias (https://pypi.org/project/Dbias/), an open-source Python package for ensuring fairness i...
Autores principales: | Raza, Shaina, Reji, Deepak John, Ding, Chen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434100/ https://www.ncbi.nlm.nih.gov/pubmed/36065448 http://dx.doi.org/10.1007/s41060-022-00359-4 |
Ejemplares similares
-
Fake news detection based on news content and social contexts: a transformer-based approach
por: Raza, Shaina, et al.
Publicado: (2022) -
Large-scale application of named entity recognition to biomedicine and epidemiology
por: Raza, Shaina, et al.
Publicado: (2022) -
A storytree-based model for inter-document causal relation extraction from news articles
por: Zhang, Chong, et al.
Publicado: (2022) -
Ensuring generalized fairness in batch classification
por: Pal, Manjish, et al.
Publicado: (2023) -
Ensuring vaccine safety: Case studies of falsified influenza vaccines detected in Brazil
por: da Costa, Jaline Alves Cabral, et al.
Publicado: (2023)