A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction. - Tai Le Quy; Wolfgang Nejdl; Myra Spiliopoulou; Eirini Ntoutsi (MASTER@PKDD/ECML, 2019)

Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest. - Bahman Askari; Tai Le Quy; Eirini Ntoutsi (COMPSAC, 2020)

A Neighborhood Deep Neural Network Model using Sliding Window for Stock Price Prediction. - Huyen Giang Thi Thu; Thuy Nguyen Thanh; Tai Le Quy (BigComp, 2021)

Towards fair, explainable and actionable clustering for learning analytics. - Tai Le Quy; Eirini Ntoutsi (EDM, 2021)

Fair-Capacitated Clustering. - Tai Le Quy; Arjun Roy 001; Gunnar Friege; Eirini Ntoutsi (EDM, 2021)

Data augmentation for dealing with low sampling rates in NILM. - Tai Le Quy; Sergej Zerr; Eirini Ntoutsi; Wolfgang Nejdl (CoRR, 2021)

A survey on datasets for fairness-aware machine learning. - Tai Le Quy; Arjun Roy 001; Vasileios Iosifidis; Eirini Ntoutsi (CoRR, 2021)

Evaluation of Group Fairness Measures in Student Performance Prediction Problems. - Tai Le Quy; Thi Huyen Nguyen; Gunnar Friege; Eirini Ntoutsi (PKDD/ECML Workshops (1), 2022)

Attention Mechanism based Cognition-level Scene Understanding. - Xuejiao Tang; Tai Le Quy; Eirini Ntoutsi; Kea Turner; Vasile Palade; Israat Haque 001; Peng Xu; Chris Brown; Wenbin Zhang 002 (CoRR, 2022)

Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem. - Tai Le Quy; Gunnar Friege; Eirini Ntoutsi (CoRR, 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)

A survey on datasets for fairness-aware machine learning. - Tai Le Quy; Arjun Roy 001; Vasileios Iosifidis; Wenbin Zhang 002; Eirini Ntoutsi (WIREs Data Mining Knowl. Discov., 2022)

Multi-fair Capacitated Students-Topics Grouping Problem. - Tai Le Quy; Gunnar Friege; Eirini Ntoutsi (PAKDD (1), 2023)

A review of clustering models in educational data science towards fairness-aware learning. - Tai Le Quy; Gunnar Friege; Eirini Ntoutsi (CoRR, 2023)

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 002 (CoRR, 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)

Fairness-aware Machine Learning in Educational Data Mining - Tai Le Quy (2024)

FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. - Tai Le Quy; Long Le Thanh; Lan Luong Thi Hong; Frank Hopfgartner (PAKDD (6), 2025)