12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?
Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis +5
As machine learning (ML) systems get adopted in more critical areas, it has become increasingly crucial to address the bias that could occur in these systems. Several fairness pre-…
cs.LG2019★ 12 cited
Subject Cross Validation in Human Activity Recognition
Akbar Dehghani, Tristan Glatard, Emad Shihab
K-fold Cross Validation is commonly used to evaluate classifiers and tune their hyperparameters. However, it assumes that data points are Independent and Identically Distributed (i…