Tai Le Quy

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Scene Understanding

Top Venues

WIREs Data Mining Knowl. Discov.

Publications

Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications. CoRR (2024)
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Multi-fair Capacitated Students-Topics Grouping Problem. PAKDD (1) (2023)
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
A review of clustering models in educational data science towards fairness-aware learning. CoRR (2023)
Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
Evaluation of Group Fairness Measures in Student Performance Prediction Problems. PKDD/ECML Workshops (1) (2022)
Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
Evaluation of group fairness measures in student performance prediction problems. CoRR (2022)
Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
A survey on datasets for fairness-aware machine learning. WIREs Data Mining Knowl. Discov. 12 (3) (2022)
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem. CoRR (2022)
Huyen Giang Thi Thu, Thuy Nguyen Thanh, Tai Le Quy
Dynamic Sliding Window and Neighborhood LSTM-Based Model for Stock Price Prediction. SN Comput. Sci. 3 (3) (2022)
Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang
Attention Mechanism based Cognition-level Scene Understanding. CoRR (2022)
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
Fair-Capacitated Clustering. EDM (2021)
Huyen Giang Thi Thu, Thuy Nguyen Thanh, Tai Le Quy
A Neighborhood Deep Neural Network Model using Sliding Window for Stock Price Prediction. BigComp (2021)
Tai Le Quy, Eirini Ntoutsi
Towards fair, explainable and actionable clustering for learning analytics. EDM (2021)
Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
A survey on datasets for fairness-aware machine learning. CoRR (2021)
Tai Le Quy, Sergej Zerr, Eirini Ntoutsi, Wolfgang Nejdl
Data augmentation for dealing with low sampling rates in NILM. CoRR (2021)
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
Fair-Capacitated Clustering. CoRR (2021)
Bahman Askari, Tai Le Quy, Eirini Ntoutsi
Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest. COMPSAC (2020)
Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi
A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction. MASTER@PKDD/ECML (2019)