630 citations
- Trường Đại học Khoa học và Công nghệ Hà NộiVN49 papers
- Vietnam Academy of Science and TechnologyVN40 papers
- Centre National de la Recherche ScientifiqueFR26 papers
- CEA Paris-SaclayFR15 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR15 papers
- Korea Astronomy and Space Science InstituteKR15 papers
- Korea University of Science and TechnologyKR15 papers
- Ames Research CenterUS14 papers
- Université Paris CitéFR14 papers
- Universities Space Research AssociationUS14 papers
- VNU University of ScienceVN14 papers
- Western UniversityCA14 papers
11 papers · 1 filter
FedImp: Enhancing Federated Learning Convergence with Impurity-Based Weighting
Hai Anh Tran, Cuong Ta, Truong X. Tran
Federated Learning (FL) is a collaborative paradigm that enables multiple devices to train a global model while preserving local data privacy. A major challenge in FL is the non-In…
FairFinGAN: Fairness-aware Synthetic Financial Data Generation
Tai Le Quy, Dung Nguyen Tuan, Trung Nguyen Thanh +3
Financial datasets often suffer from bias that can lead to unfair decision-making in automated systems. In this work, we propose FairFinGAN, a WGAN-based framework designed to gene…
Constraint-Reduced MILP with Local Outlier Factor Modeling for Plausible Counterfactual Explanations in Credit Approval
Trung Nguyen Thanh, Huyen Giang Thi Thu, Tai Le Quy +1
Counterfactual explanation (CE) is a widely used post-hoc method that provides individuals with actionable changes to alter an unfavorable prediction from a machine learning model.…
FACROC: a fairness measure for FAir Clustering through ROC curves
Tai Le Quy, Long Le Thanh, Lan Luong Thi Hong +1
Fair clustering has attracted remarkable attention from the research community. Many fairness measures for clustering have been proposed; however, they do not take into account the…
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
Quoc-Anh Hoang Nguyen, The Hung Tran
Bayesian Optimization (BO) is a popular approach to optimizing expensive-to-evaluate black-box functions. Despite the success of BO, its performance may decrease exponentially as t…
Gentle Local Robustness implies Generalization
Khoat Than, Dat Phan, Giang Vu
Robustness and generalization ability of machine learning models are of utmost importance in various application domains. There is a wide interest in efficient ways to analyze thos…