Thu Nguyen

39 papers A* 1A 1B 4Journal 24Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
DPERC: Direct Parameter Estimation for Mixed Data with Random Missingness.
MMM (2)
Tuan L. Vo, Uyen Dang, Thu Nguyen, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen
2026 J jnl
Explainability of machine learning models under missing data.
Appl. Soft Comput.
Tuan L. Vo, Thu Nguyen, Luis M. Lopez-Ramos, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen
2026 — conf
Low-Dimension Representation Estimation in Principal Component Analysis Under Missing Data.
MMM (2)
Thanh Tu Do, Van Hua, Uyen Dang, Thu Nguyen, Steven Hicks, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen
2025 J jnl
Beyond Audio: Enhancing SoccerNet-Echoes with Multimodal Event Extraction Using LLMs.
Int. J. Semantic Comput.
Mehdi Houshmand Sarkhoosh, Sushant Gautam, Cise Midoglu, Thu Nguyen, Jan Held, Anthony Cioppa, Silvio Giancola, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen
2025 J jnl
DPERC: Direct Parameter Estimation for Mixed Data.
CoRR
Tuan L. Vo, Quan Huu Do, Uyen Dang, Thu Nguyen, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen
2025 — conf
Data Imputation for Noisy Time-Series Data in Healthcare.
ICCCI (2)
Lien P. Le, Thi Xuan-Hien Nguyen, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
2025 J jnl
Imputation Using Training Labels and Classification via Label Imputation.
IEEE Access
Thu Nguyen, Uyen Dang, Tuan L. Vo, Pål Halvorsen, Michael A. Riegler
2025 J jnl
Multimodal missing data in healthcare: A comprehensive review and future directions.
Comput. Sci. Rev.
Lien P. Le, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
2025 J jnl
Principal Components for Neural Network Initialization.
CoRR
Nhan Phan, Thu Nguyen, Pål Halvorsen, Michael A. Riegler
2025 A* conf
Reproducibility Companion Paper: NIF: A Fast Implicit Image Compression with Bottleneck Layers and Modulated Sinusoidal Activations.
ACM Multimedia
Lorenzo Catania, Dario Allegra, Luigi Capogrosso, Thu Nguyen
2024 B conf
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction.
IJCNN
Tu T. Do, Anh M. Vu, Tuan L. Vo, Hoang Thien Ly, Thu Nguyen, Steven Hicks, Pål Halvorsen, Michael Riegler, Binh T. Nguyen
2024 — conf
Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods.
MMM (4)
Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
2024 J jnl
Efficient Estimation of Generative Models Using Tukey Depth.
Algorithms
Minh-Quan Vo, Thu Nguyen, Michael A. Riegler, Hugo Lewi Hammer
2024 J jnl
Explainability of Machine Learning Models under Missing Data.
CoRR
Tuan L. Vo, Thu Nguyen, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen
2024 J jnl
Missing data imputation for noisy time-series data and applications in healthcare.
CoRR
Lien P. Le, Xuan-Hien Nguyen Thi, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
2024 J jnl
The Effects of Data Imputation on Covariance and Inverse Covariance Matrix Estimation.
IEEE Access
Tuan L. Vo, Quan Huu Do, Thu Nguyen, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen
2023 J jnl
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction.
CoRR
Tu T. Do, Mai Anh Vu, Hoang Thien Ly, Thu Nguyen, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
2023 B conf
Combining datasets to improve model fitting.
IJCNN
Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler
2023 J jnl
Conditional expectation for missing data imputation.
CoRR
Mai Anh Vu, Thu Nguyen, Tu T. Do, Nhan Phan, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen
2023 J jnl
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods.
CoRR
Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
2023 — conf
Faster Imputation Using Singular Value Decomposition for Sparse Data.
ACIIDS (1)
Phuc Nguyen, Linh G. H. Tran, Bao H. Le, Thuong H. T. Nguyen, Thu Nguyen, Hien D. Nguyen, Binh T. Nguyen
2023 J jnl
Imputation using training labels and classification via label imputation.
CoRR
Thu Nguyen, Pål Halvorsen, Michael A. Riegler
2023 — conf
Multimedia Datasets: Challenges and Future Possibilities.
MMM (2)
Thu Nguyen, Andrea M. Storås, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
2023 — conf
Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms.
ACIIDS (Companion)
Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo Lewi Hammer
2023 — conf
Principal Components Analysis Based Imputation for Logistic Regression.
IEA/AIE (1)
Thuong H. T. Nguyen, Bao Le, Phuc Nguyen, Linh G. H. Tran, Thu Nguyen, Binh T. Nguyen
2022 J jnl
ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks.
Inf. Sci.
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
2022 J jnl
Combining datasets to increase the number of samples and improve model fitting.
CoRR
Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler
2022 J jnl
DPER: Direct Parameter Estimation for Randomly missing data.
Knowl. Based Syst.
Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T. Nguyen, Bruce Alan Wade
2022 — conf
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa.
MediaEval
Vajira Thambawita, Steven Hicks, Andrea M. Storås, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Hammer, Thu Nguyen, Pål Halvorsen, Michael Riegler
2022 B conf
Parallel feature selection based on the trace ratio criterion.
IJCNN
Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Nguyen Thanh Binh, Pål Halvorsen, Michael A. Riegler
2022 J jnl
Parallel feature selection based on the trace ratio criterion.
CoRR
Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Nguyen Thanh Binh, Pål Halvorsen, Michael Riegler
2022 J jnl
Principle Components Analysis based frameworks for efficient missing data imputation algorithms.
CoRR
Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen
2022 B conf
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification.
IJCNN
Thu Nguyen, Quang M. Le, Son N. T. Tu, Binh T. Nguyen
2022 J jnl
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification.
CoRR
Thu Nguyen, Quang M. Le, Son N. T. Tu, Binh T. Nguyen
2022 J jnl
VISEM-Tracking: Human Spermatozoa Tracking Dataset.
CoRR
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
2021 J jnl
DPER: Efficient Parameter Estimation for Randomly Missing Data.
CoRR
Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T. Nguyen, Bruce Alan Wade
2021 J jnl
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data.
Inf. Sci.
Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade
2020 A conf
Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs.
SDM
Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu
2020 J jnl
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data.
CoRR
Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade