most citedAdmission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Learning Fair Representations with Kolmogorov-Arnold Networks

Amisha Priyadarshini, Sergio Gago-Masague

Despite recent advances in fairness-aware machine learning, predictive models often exhibit discriminatory behavior towards marginalized groups. Such unfairness might arise from bi…

cs.LG2024★ 7 cited

Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach

Amisha Priyadarshini, Barbara Martinez-Neda, Sergio Gago-Masague

This article addresses the challenge of validating the admission committee's decisions for undergraduate admissions. In recent years, the traditional review process has struggled t…