Uyen Dang

According to our database, Uyen Dang authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

PICA: Interpretable imputation for randomly missing data.

Tuan L. Vo, Uyen Dang, Van Hua, Xuan Hoang Nguyen, Thu Nguyen, Bao Huynh

Inf. Sci., 2026

DPERC: Direct Parameter Estimation for Mixed Data with Random Missingness.

Tuan L. Vo, Uyen Dang, Thu Nguyen, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen

Proceedings of the MultiMedia Modeling, 2026

Low-Dimension Representation Estimation in Principal Component Analysis Under Missing Data.

Thanh Tu Do, Van Hua, Uyen Dang, Thu Nguyen, Steven Hicks, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen

Proceedings of the MultiMedia Modeling, 2026

2025

DPERC: Direct Parameter Estimation for Mixed Data.

Tuan L. Vo, Quan Huu Do, Uyen Dang, Thu Nguyen, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen

CoRR, January, 2025

Imputation Using Training Labels and Classification via Label Imputation.

Thu Nguyen, Uyen Dang, Tuan L. Vo, Pål Halvorsen, Michael A. Riegler

IEEE Access, 2025

2024

Weighted Missing Linear Discriminant Analysis: An Explainable Approach for Classification with Missing Data.

Tuan L. Vo, Uyen Dang, Thu Nguyen

CoRR, 2024