research
∙
01/09/2023
A review of clustering models in educational data science towards fairness-aware learning
Ensuring fairness is essential for every education system. Machine learn...
share
research
∙
08/22/2022
Evaluation of group fairness measures in student performance prediction problems
Predicting students' academic performance is one of the key tasks of edu...
research
∙
06/20/2022
Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem
Group work is a prevalent activity in educational settings, where studen...
research
∙
04/17/2022
Attention Mechanism based Cognition-level Scene Understanding
Given a question-image input, the Visual Commonsense Reasoning (VCR) mod...
research
∙
10/01/2021
A survey on datasets for fairness-aware machine learning
As decision-making increasingly relies on machine learning and (big) dat...
research
∙
04/25/2021