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 001; Steven Hicks; Pål Halvorsen; Michael Riegler 001; Binh T. Nguyen 001 (IJCNN, 2024)

The Effects of Data Imputation on Covariance and Inverse Covariance Matrix Estimation. - Tuan L. Vo; Quan Huu Do; Thu Nguyen 001; Pål Halvorsen; Michael A. Riegler; Binh T. Nguyen 001 (IEEE Access, 2024)

Explainability of Machine Learning Models under Missing Data. - Tuan L. Vo; Thu Nguyen 001; Hugo Lewi Hammer; Michael A. Riegler; Pål Halvorsen (CoRR, 2024)

Weighted Missing Linear Discriminant Analysis: An Explainable Approach for Classification with Missing Data. - Tuan L. Vo; Uyen Dang; Thu Nguyen (CoRR, 2024)

Emotion Recognition Using Text Embedding Models: Wearable and Wireless EEG Without Fixed EEG Channel Configurations. - Quoc-Toan Nguyen; Huiru Zheng; Tahia Tazin; Linh Le; Tuan L. Vo; Nhu-Tri Tran; David Williams-King; Benjamin Tag (UMAP (Adjunct Publication), 2025)

DPERC: Direct Parameter Estimation for Mixed Data. - Tuan L. Vo; Quan Huu Do; Uyen Dang; Thu Nguyen 001; Pål Halvorsen; Michael A. Riegler; Binh T. Nguyen 001 (CoRR, 2025)