Thu Nguyen

According to our database, Thu Nguyen authored at least 29 papers between 2020 and 2025.

Collaborative distances:

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

2025

Principal Components for Neural Network Initialization.

Nhan Phan, Thu Nguyen, Pål Halvorsen, Michael A. Riegler

CoRR, January, 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

Multimodal missing data in healthcare: A comprehensive review and future directions.

Lien P. Le, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen

Comput. Sci. Rev., 2025

2024

Efficient Estimation of Generative Models Using Tukey Depth.

Minh-Quan Vo, Thu Nguyen, Michael A. Riegler, Hugo Lewi Hammer

Algorithms, March, 2024

Missing data imputation for noisy time-series data and applications in healthcare.

Lien P. Le, Xuan-Hien Nguyen Thi, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. 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

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, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen

Proceedings of the MultiMedia Modeling - 30th International Conference, 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

2023

Imputation using training labels and classification via label imputation.

Thu Nguyen, Pål Halvorsen, Michael A. Riegler

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, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen

CoRR, 2023

Conditional expectation for missing data imputation.

Mai Anh Vu, Thu Nguyen, Tu T. Do, Nhan Phan, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen

CoRR, 2023

Multimedia Datasets: Challenges and Future Possibilities.

Thu Nguyen, Andrea M. Storås, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Combining datasets to improve model fitting.

Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler

Proceedings of the International Joint Conference on Neural Networks, 2023

Principal Components Analysis Based Imputation for Logistic Regression.

Thuong H. T. Nguyen, Bao Le, Phuc Nguyen, Linh G. H. Tran, Thu Nguyen, Binh T. Nguyen

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 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, Hien D. Nguyen, Binh T. Nguyen

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms.

Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo Lewi Hammer

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2022

VISEM-Tracking.

Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler

Dataset, November, 2022

DPER: Direct Parameter Estimation for Randomly missing data.

Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T. Nguyen, Bruce Alan Wade

Knowl. Based Syst., 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, Khanh T. Tran, Anh Triet Nguyen, Bao T. Pham, Binh T. Nguyen

Inf. Sci., 2022

VISEM-Tracking: Human Spermatozoa Tracking Dataset.

Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler

CoRR, 2022

Combining datasets to increase the number of samples and improve model fitting.

Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler

CoRR, 2022

Principle Components Analysis based frameworks for efficient missing data imputation algorithms.

Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen

CoRR, 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, Pål Halvorsen, Michael Riegler

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Parallel feature selection based on the trace ratio criterion.

Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Nguyen Thanh Binh, Pål Halvorsen, Michael A. Riegler

Proceedings of the International Joint Conference on Neural Networks, 2022

Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification.

Thu Nguyen, Quang M. Le, Son N. T. Tu, Binh T. Nguyen

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data.

Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade

Inf. Sci., 2021

DPER: Efficient Parameter Estimation for Randomly Missing Data.

Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T. Nguyen, Bruce Alan Wade

CoRR, 2021

2020

Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs.

Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020