2 papers
cs.LG2026
Blog Data Showdown: Machine Learning vs Neuro-Symbolic Models for Gender Classification
Natnael Tilahun Sinshaw, Mengmei He, Tadesse K. Bahiru +1
Text classification problems, such as gender classification from a blog, have been a well-matured research area that has been well studied using machine learning algorithms. It has…
cs.CV2025
Auditing and Mitigating Bias in Gender Classification Algorithms: A Data-Centric Approach
Tadesse K Bahiru, Natnael Tilahun Sinshaw, Teshager Hailemariam Moges +1
Gender classification systems often inherit and amplify demographic imbalances in their training data. We first audit five widely used gender classification datasets, revealing tha…