Tuan L. Vo

According to our database, Tuan L. Vo authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

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

2024

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

Tuan L. Vo, Uyen Dang, Thu Nguyen

CoRR, 2024

Explainability of Machine Learning Models under Missing Data.

Tuan L. Vo, Thu Nguyen, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen

CoRR, 2024

The Effects of Data Imputation on Covariance and Inverse Covariance Matrix Estimation.

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

IEEE Access, 2024

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction.

Tu T. Do, Anh M. Vu, Tuan L. Vo, Hoang Thien Ly, Thu Nguyen, Steven Hicks, Pål Halvorsen, Michael Riegler, Binh T. Nguyen

Proceedings of the International Joint Conference on Neural Networks, 2024