Tai Le Quy

According to our database, Tai Le Quy authored at least 14 papers between 2019 and 2023.

Collaborative distances:

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

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