Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
|
A survey on datasets for fairness-aware machine learning
|
WIREs Data Mining and Knowledge Discovery
|
2022
|
|
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
|
Fair-Capacitated Clustering
|
The 14th International Conference on Educational Data Mining (EDM 2021)
|
2021
|
|
Tai Le Quy, Eirini Ntoutsi
|
Towards fair, explainable and actionable clustering for learning analytics
|
The 14th International Conference on Educational Data Mining (EDM 2021)
|
2021
|
|
Huyen Giang Thi Thu, Thuy Nguyen Thanh, Tai Le Quy
|
A Neighborhood Deep Neural Network Model using Sliding Window for Stock Price Prediction
|
International Conference on Big Data and Smart Computing (BIGCOMP 2021)
|
2021
|
|
Bahman Askari, Tai Le Quy, Eirini Ntoutsi
|
Taxi Demand Prediction using an LSTM-based Deep Sequence Model and Points of Interest
|
2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
|
2020
|
|
Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi
|
A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction
|
International Workshop on Multiple-Aspect Analysis of Semantic Trajectories @ ECML-PKDD 2019
|
2019
|
|
Tai Le Quy, Sergej Zerr, Eirini Ntoutsiand, Wolfgang Nejdl
|
Data augmentation for dealing with low sampling rates in NILM
|
Proceedings of the 4th International Workshop on Non-Intrusive Load Monitoring, University of Texas, Austin, TX, USA
|
2018
|
|