Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. - Yi He 007; Sheng Chen 008; Thu Nguyen 001; Bruce A. Wade; Xindong Wu 001 (SDM, 2020)

DPER: Efficient Parameter Estimation for Randomly Missing Data. - Thu Nguyen 001; Khoi Minh Nguyen-Duy; Duy Ho Minh Nguyen; Binh T. Nguyen 001; Bruce Alan Wade (CoRR, 2021)

EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. - Thu Nguyen 001; Duy M. H. Nguyen; Huy Nguyen; Binh T. Nguyen 001; Bruce A. Wade (Inf. Sci., 2021)

Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification. - Thu Nguyen 001; Quang M. Le; Son N. T. Tu; Binh T. Nguyen 001 (IJCNN, 2022)

Parallel feature selection based on the trace ratio criterion. - Thu Nguyen 001; Thanh Nhan Phan; Van Nhuong Nguyen; Nguyen Thanh Binh 001; Pål Halvorsen; Michael A. Riegler (IJCNN, 2022)

Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. - Vajira Thambawita; Steven Hicks; Andrea M. Storås; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Hammer; Thu Nguyen 001; Pål Halvorsen; Michael Riegler 001 (MediaEval, 2022)

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

Combining datasets to increase the number of samples and improve model fitting. - Thu Nguyen 001; Rabindra Khadka; Nhan Phan; Anis Yazidi; Pål Halvorsen; Michael A. Riegler (CoRR, 2022)

VISEM-Tracking: Human Spermatozoa Tracking Dataset. - Vajira Thambawita; Steven Alexander Hicks; Andrea M. Storås; Thu Nguyen 001; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (CoRR, 2022)

ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks. - Duy M. H. Nguyen; Duy M. Nguyen; Truong Thanh Nhat Mai; Thu Nguyen 001; Khanh T. Tran; Anh Triet Nguyen; Bao T. Pham; Binh T. Nguyen 001 (Inf. Sci., 2022)

DPER: Direct Parameter Estimation for Randomly missing data. - Thu Nguyen 001; Khoi Minh Nguyen-Duy; Duy Ho Minh Nguyen; Binh T. Nguyen 001; Bruce Alan Wade (Knowl. Based Syst., 2022)

VISEM-Tracking. - Vajira Thambawita; Steven Alexander Hicks; Andrea M. Storås; Thu Nguyen 001; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (Zenodo, 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)

Faster Imputation Using Singular Value Decomposition for Sparse Data. - Phuc Nguyen; Linh G. H. Tran; Bao H. Le; Thuong H. T. Nguyen; Thu Nguyen 001; Hien D. Nguyen 002; Binh T. Nguyen 001 (ACIIDS (1), 2023)

Principal Components Analysis Based Imputation for Logistic Regression. - Thuong H. T. Nguyen; Bao Le; Phuc Nguyen; Linh G. H. Tran; Thu Nguyen 001; Binh T. Nguyen 001 (IEA/AIE (1), 2023)

Combining datasets to improve model fitting. - Thu Nguyen 001; Rabindra Khadka; Nhan Phan; Anis Yazidi; Pål Halvorsen; Michael A. Riegler (IJCNN, 2023)

Multimedia Datasets: Challenges and Future Possibilities. - Thu Nguyen 001; Andrea M. Storås; Vajira Thambawita; Steven Alexander Hicks; Pål Halvorsen; Michael A. Riegler (MMM (2), 2023)

Conditional expectation for missing data imputation. - Mai Anh Vu; Thu Nguyen 001; Tu T. Do; Nhan Phan; Pål Halvorsen; Michael A. Riegler; Binh T. Nguyen 001 (CoRR, 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)

Imputation using training labels and classification via label imputation. - Thu Nguyen 001; Pål Halvorsen; Michael A. Riegler (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)

Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods. - Nhat-Hao Pham; Khanh-Linh Vo; Mai Anh Vu; Thu Nguyen 001; Michael A. Riegler; Pål Halvorsen; Binh T. Nguyen 001 (MMM (4), 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)

Missing data imputation for noisy time-series data and applications in healthcare. - Lien P. Le; Xuan-Hien Nguyen Thi; Thu Nguyen 001; Michael A. Riegler; Pål Halvorsen; Binh T. Nguyen 001 (CoRR, 2024)

Efficient Estimation of Generative Models Using Tukey Depth. - Minh-Quan Vo; Thu Nguyen 001; Michael A. Riegler; Hugo Lewi Hammer (Algorithms, 2024)

Multimodal missing data in healthcare: A comprehensive review and future directions. - Lien P. Le; Thu Nguyen 001; Michael A. Riegler; Pål Halvorsen; Binh T. Nguyen 001 (Comput. Sci. Rev., 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)

Principal Components for Neural Network Initialization. - Nhan Phan; Thu Nguyen 001; Pål Halvorsen; Michael A. Riegler (CoRR, 2025)