Tai Le Quy - RankMe

26 papers B 4Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FairFinGAN: Fairness-aware Synthetic Financial Data Generation. CoRR Tai Le Quy, Dung Nguyen Tuan, Trung Nguyen Thanh, Duy Tran Cong, Huyen Giang Thi Thu, Frank Hopfgartner
2025	B	`conf`	A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-Off Perspective. IEEE Big Data Siamak Ghodsi, Amjad Seyedi, Tai Le Quy, Fariba Karimi, Eirini Ntoutsi
2025	J	`jnl`	A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective. CoRR Siamak Ghodsi, Seyed Amjad Seyedi, Tai Le Quy, Fariba Karimi, Eirini Ntoutsi
2025	—	`conf`	Bias in Recruitment Systems Utilizing Large Language Models. ICAAI Nupur Chandrashekhar Deshmukh, Sharayu Sunil Mhaske, Lakshmi Soujanya Chandra, Jayani Rachapudi, Tai Le Quy, Frank Hopfgartner
2025	J	`jnl`	Constraint-Reduced MILP with Local Outlier Factor Modeling for Plausible Counterfactual Explanations in Credit Approval. CoRR Trung Nguyen Thanh, Huyen Giang Thi Thu, Tai Le Quy, Ha-Bang Ban
2025	—	`conf`	FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. PAKDD (6) Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong, Frank Hopfgartner
2025	J	`jnl`	FACROC: a fairness measure for FAir Clustering through ROC curves. CoRR Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong, Frank Hopfgartner
2024	J	`jnl`	An experimental study on fairness-aware machine learning for credit scoring problem. CoRR Huyen Giang Thi Thu, Thang Viet Doan, Tai Le Quy
2024	J	`jnl`	FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications. CoRR Sribala Vidyadhari Chinta, Zichong Wang, Zhipeng Yin, Nhat Hoang, Matthew Gonzalez, Tai Le Quy, Wenbin Zhang
2024	—	`—`	Fairness-aware Machine Learning in Educational Data Mining Tai Le Quy
2023	J	`jnl`	A review of clustering models in educational data science towards fairness-aware learning. CoRR Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
2023	—	`conf`	Multi-fair Capacitated Students-Topics Grouping Problem. PAKDD (1) Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
2022	J	`jnl`	A survey on datasets for fairness-aware machine learning. WIREs Data Mining Knowl. Discov. Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
2022	J	`jnl`	Attention Mechanism based Cognition-level Scene Understanding. CoRR Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang
2022	J	`jnl`	Dynamic Sliding Window and Neighborhood LSTM-Based Model for Stock Price Prediction. SN Comput. Sci. Huyen Giang Thi Thu, Thuy Nguyen Thanh, Tai Le Quy
2022	—	`conf`	Evaluation of Group Fairness Measures in Student Performance Prediction Problems. PKDD/ECML Workshops (1) Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
2022	J	`jnl`	Evaluation of group fairness measures in student performance prediction problems. CoRR Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
2022	J	`jnl`	Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem. CoRR Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
2021	—	`conf`	A Neighborhood Deep Neural Network Model using Sliding Window for Stock Price Prediction. BigComp Huyen Giang Thi Thu, Thuy Nguyen Thanh, Tai Le Quy
2021	J	`jnl`	A survey on datasets for fairness-aware machine learning. CoRR Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
2021	J	`jnl`	Data augmentation for dealing with low sampling rates in NILM. CoRR Tai Le Quy, Sergej Zerr, Eirini Ntoutsi, Wolfgang Nejdl
2021	B	`conf`	Fair-Capacitated Clustering. EDM Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
2021	J	`jnl`	Fair-Capacitated Clustering. CoRR Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
2021	B	`conf`	Towards fair, explainable and actionable clustering for learning analytics. EDM Tai Le Quy, Eirini Ntoutsi
2020	B	`conf`	Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest. COMPSAC Bahman Askari, Tai Le Quy, Eirini Ntoutsi
2019	—	`conf`	A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction. MASTER@PKDD/ECML Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi