Principle Components Analysis based frameworks for efficient missing data imputation algorithms. - Thu Nguyen 001; Hoang Thien Ly; Michael Alexander Riegler; Pål Halvorsen (CoRR, 2022)

Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. - Thu Nguyen 001; Hoang Thien Ly; Michael Alexander Riegler; Pål Halvorsen; Hugo Lewi Hammer (ACIIDS (Companion), 2023)

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. - Tu T. Do; Mai Anh Vu; Hoang Thien Ly; Thu Nguyen 001; Steven Alexander Hicks; Michael A. Riegler; Pål Halvorsen; Binh T. Nguyen 001 (CoRR, 2023)

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)