A Comprehensive Review of Bias in Deep Learning Models: Methods, Impacts, and Future Directions

M Shah, N Sureja - Archives of Computational Methods in Engineering, 2024 - Springer
This comprehensive review and analysis delve into the intricate facets of bias within the
realm of deep learning. As artificial intelligence and machine learning technologies become …

Less can be more: representational vs. stereotypical gender bias in facial expression recognition

I Dominguez-Catena, D Paternain, A Jurio… - arXiv preprint arXiv …, 2024 - arxiv.org
Machine learning models can inherit biases from their training data, leading to
discriminatory or inaccurate predictions. This is particularly concerning with the increasing …

A New Benchmark and Low Computational Cost Localization Method for Cephalometric Analysis

X Wang, E Rigall, X An, Z Li, Q Cai… - … on Circuits and …, 2024 - ieeexplore.ieee.org
In this study, we present WebCeph2k, an extensive and diverse cephalometric landmark
localization dataset that surpasses previous benchmark datasets in terms of number of …

DSAP: Analyzing Bias Through Demographic Comparison of Datasets

I Dominguez-Catena, D Paternain, M Galar - arXiv preprint arXiv …, 2023 - arxiv.org
In the last few years, Artificial Intelligence systems have become increasingly widespread.
Unfortunately, these systems can share many biases with human decision-making, including …

ARTIFICIAL INTELLIGENCE TO SUPPORT THE ASSESSMENT OF EMOTIONAL INTELLIGENCE

C Scuotto, E Marsico, S Triberti - ITALIAN JOURNAL OF HEALTH …, 2024 - ojs.gsdjournal.it
Abstract Initially, Emotional Intelligence (EI) was defined as an ability to process emotional
information measurable through performance tasks. Later, other authors conceptualized EI …

[PDF][PDF] ARTIFICIAL INTELLIGENCE TO SUPPORT THE ASSESSMENT OF EMOTIONAL INTELLIGENCE INTELLIGENZA ARTIFICIALE A SUPPORTO DELLA …

C Scuotto, E Marsico, S Triberti - 2023 - researchgate.net
Initially, Emotional Intelligence (EI) was defined as an ability to process emotional
information measurable through performance tasks. Later, other authors conceptualized EI …

[PDF][PDF] ¿ Salud para quién? Interseccionalidad y sesgos de la inteligencia artificial para el diagnóstico clínico

S Amaya-Santos, J Jiménez-Pernett… - Anales del Sistema …, 2023 - recyt.fecyt.es
Las tecnologías basadas en Inteligencia Artificial (IA) han experimentado en los últimos
años un crecimiento significativo en el ámbito de la sanidad, con la promesa de mejorar …