Tai Le Quy

According to our database, Tai Le Quy authored at least 23 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

FairFinGAN: Fairness-aware Synthetic Financial Data Generation.

Tai Le Quy, Dung Nguyen Tuan, Trung Nguyen Thanh, Duy Tran Cong, Huyen Giang Thi Thu, Frank Hopfgartner

CoRR, March, 2026

Scaffolding-First Constraint Design for LLM Tutors in Data-Science Problem Solving.

Stefania Zourlidou, Shokooh Ebri, Tai Le Quy, Frank Hopfgartner

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025

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, Ha-Bang Ban

CoRR, September, 2025

FACROC: A Fairness Measure for Fair Clustering Through ROC Curves.

Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong, Frank Hopfgartner

Proceedings of the Data Science: Foundations and Applications, 2025

Bias in Recruitment Systems Utilizing Large Language Models.

Nupur Chandrashekhar Deshmukh, Sharayu Sunil Mhaske, Lakshmi Soujanya Chandra, Jayani Rachapudi, Tai Le Quy, Frank Hopfgartner

Proceedings of the 2025 9th International Conference on Advances in Artificial Intelligence, 2025

A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-Off Perspective.

Siamak Ghodsi, Amjad Seyedi, Tai Le Quy, Fariba Karimi, Eirini Ntoutsi

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Fairness-aware Machine Learning in Educational Data Mining

Tai Le Quy

PhD thesis, 2024

An experimental study on fairness-aware machine learning for credit scoring problem.

Huyen Giang Thi Thu, Thang Viet Doan, Tai Le Quy

CoRR, 2024

FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications.

Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang

CoRR, 2024

2023

A review of clustering models in educational data science towards fairness-aware learning.

Tai Le Quy, Gunnar Friege, Eirini Ntoutsi

CoRR, 2023

Multi-fair Capacitated Students-Topics Grouping Problem.

Tai Le Quy, Gunnar Friege, Eirini Ntoutsi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

WIREs Data Mining Knowl. Discov., 2022

Dynamic Sliding Window and Neighborhood LSTM-Based Model for Stock Price Prediction.

Huyen Giang Thi Thu, Thuy Nguyen Thanh, Tai Le Quy

SN Comput. Sci., 2022

Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem.

Tai Le Quy, Gunnar Friege, Eirini Ntoutsi

CoRR, 2022

Attention Mechanism based Cognition-level Scene Understanding.

Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang

CoRR, 2022

Evaluation of Group Fairness Measures in Student Performance Prediction Problems.

Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2021

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

CoRR, 2021

Data augmentation for dealing with low sampling rates in NILM.

Tai Le Quy, Sergej Zerr, Eirini Ntoutsi, Wolfgang Nejdl

CoRR, 2021

Fair-Capacitated Clustering.

Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Towards fair, explainable and actionable clustering for learning analytics.

Tai Le Quy, Eirini Ntoutsi

Proceedings of the 14th International Conference on Educational Data Mining, 2021

A Neighborhood Deep Neural Network Model using Sliding Window for Stock Price Prediction.

Huyen Giang Thi Thu, Thuy Nguyen Thanh, Tai Le Quy

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

2020

Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest.

Bahman Askari, Tai Le Quy, Eirini Ntoutsi

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019

A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction.

Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi

Proceedings of the Multiple-Aspect Analysis of Semantic Trajectories, 2019