26 citations · 55 across the 11 of their papers we have counts for
11 papers
ConnectED: A Curriculum-Aligned AI System for Vietnamese Instructional Lesson Planning and Student Learning
Thang Doan Viet, Anh Nguyen Hoang, Tinh Luong Son +3
This paper presents ConnectED, a human-centered AI system that supports the full instructional lifecycle in Vietnamese education by linking curriculum-aligned lesson design, intera…
FairFinGAN: Fairness-aware Synthetic Financial Data Generation
Tai Le Quy, Dung Nguyen Tuan, Trung Nguyen Thanh +3
Financial datasets often suffer from bias that can lead to unfair decision-making in automated systems. In this work, we propose FairFinGAN, a WGAN-based framework designed to gene…
A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
Siamak Ghodsi, Amjad Seyedi, Tai Le Quy +2
Fair graph clustering seeks partitions that respect network structure while maintaining proportional representation across sensitive groups, with applications spanning community de…
Constraint-Reduced MILP with Local Outlier Factor Modeling for Plausible Counterfactual Explanations in Credit Approval
Trung Nguyen Thanh, Huyen Giang Thi Thu, Tai Le Quy +1
Counterfactual explanation (CE) is a widely used post-hoc method that provides individuals with actionable changes to alter an unfavorable prediction from a machine learning model.…
FACROC: a fairness measure for FAir Clustering through ROC curves
Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong +1
Fair clustering has attracted remarkable attention from the research community. Many fairness measures for clustering have been proposed; however, they do not take into account the…
An Experimental Study on Fairness-aware Machine Learning for Credit Scoring Problems
Huyen Giang Thi Thu, Thang Viet Doan, Ha-Bang Ban +1
The digitalization of credit scoring has become essential for financial institutions and commercial banks, especially in the era of digital transformation. Machine learning techniq…
A review of clustering models in educational data science towards fairness-aware learning
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Ensuring fairness is essential for every education system. Machine learning is increasingly supporting the education system and educational data science (EDS) domain, from decision…
Evaluation of group fairness measures in student performance prediction problems
Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege +1
Predicting students' academic performance is one of the key tasks of educational data mining (EDM). Traditionally, the high forecasting quality of such models was deemed critical.…
Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Group work is a prevalent activity in educational settings, where students are often divided into topic-specific groups based on their preferences. The grouping should reflect the…
Fair-Capacitated Clustering
Tai Le Quy, Arjun Roy, Gunnar Friege +1
Traditionally, clustering algorithms focus on partitioning the data into groups of similar instances. The similarity objective, however, is not sufficient in applications where a f…
Data augmentation for dealing with low sampling rates in NILM
Tai Le Quy, Sergej Zerr, Eirini Ntoutsi +1
Data have an important role in evaluating the performance of NILM algorithms. The best performance of NILM algorithms is achieved with high-quality evaluation data. However, many e…