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ORCIDThu Nguyen 0001
Person information
- affiliation: Simula Metropolitan, Oslo, Norway
- unicode name: Thu Nguyễn
Other persons with the same name
- Thu Nguyen — disambiguation page
- Thu Nguyen 0002 — University of Central Oklahoma, Edmond, OK, USA
- Thu Nguyen 0003
![[0000-0002-0571-2117]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0571-2117")
(aka: Anh-Thu Nguyen-Thi) — University of Information Technology, Ho Chi Minh City, Vietnam (and 1 more)
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2020 – today
- 2025
[j7]Thu Nguyen, Uyen Dang, Tuan L. Vo, Pål Halvorsen, Michael A. Riegler:
Imputation Using Training Labels and Classification via Label Imputation. IEEE Access 13: 196539-196551 (2025)- [j6]Lien P. Le, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Multimodal missing data in healthcare: A comprehensive review and future directions. Comput. Sci. Rev. 56: 100720 (2025) - [c12]Lien P. Le, Thi Xuan-Hien Nguyen, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Data Imputation for Noisy Time-Series Data in Healthcare. ICCCI (2) 2025: 216-230 - [i15]Tuan L. Vo, Quan Huu Do, Uyen Dang, Thu Nguyen, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen:
DPERC: Direct Parameter Estimation for Mixed Data. CoRR abs/2501.10540 (2025) - [i14]Nhan Phan, Thu Nguyen, Pål Halvorsen, Michael A. Riegler:
Principal Components for Neural Network Initialization. CoRR abs/2501.19114 (2025) - 2024
- [j5]Tuan L. Vo, Quan Huu Do, Thu Nguyen, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen:
The Effects of Data Imputation on Covariance and Inverse Covariance Matrix Estimation. IEEE Access 12: 134688-134701 (2024) - [j4]Minh-Quan Vo, Thu Nguyen, Michael A. Riegler, Hugo Lewi Hammer:
Efficient Estimation of Generative Models Using Tukey Depth. Algorithms 17(3): 120 (2024) - [c11]Tu T. Do, Anh M. Vu, Tuan L. Vo, Hoang Thien Ly, Thu Nguyen, Steven Hicks, Pål Halvorsen, Michael Riegler, Binh T. Nguyen:
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. IJCNN 2024: 1-8 - [c10]Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods. MMM (4) 2024: 103-116 - [i13]Tuan L. Vo, Thu Nguyen, Hugo Lewi Hammer, Michael A. Riegler, Pål Halvorsen:
Explainability of Machine Learning Models under Missing Data. CoRR abs/2407.00411 (2024) - [i12]Lien P. Le, Xuan-Hien Nguyen Thi, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Missing data imputation for noisy time-series data and applications in healthcare. CoRR abs/2412.11164 (2024) - 2023
- [c9]Phuc Nguyen, Linh G. H. Tran, Bao H. Le, Thuong H. T. Nguyen, Thu Nguyen, Hien D. Nguyen, Binh T. Nguyen:
Faster Imputation Using Singular Value Decomposition for Sparse Data. ACIIDS (1) 2023: 135-146 - [c8]Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo Lewi Hammer:
Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. ACIIDS (Companion) 2023: 254-266 - [c7]Thuong H. T. Nguyen, Bao Le, Phuc Nguyen, Linh G. H. Tran, Thu Nguyen, Binh T. Nguyen:
Principal Components Analysis Based Imputation for Logistic Regression. IEA/AIE (1) 2023: 28-36 - [c6]Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to improve model fitting. IJCNN 2023: 1-9 - [c5]Thu Nguyen, Andrea M. Storås, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler:
Multimedia Datasets: Challenges and Future Possibilities. MMM (2) 2023: 711-717 - [i11]Mai Anh Vu, Thu Nguyen, Tu T. Do, Nhan Phan, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen:
Conditional expectation for missing data imputation. CoRR abs/2302.00911 (2023) - [i10]Tu T. Do, Mai Anh Vu, Hoang Thien Ly, Thu Nguyen, Steven Alexander Hicks, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction. CoRR abs/2305.06042 (2023) - [i9]Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen:
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods. CoRR abs/2305.06044 (2023) - [i8]Thu Nguyen, Pål Halvorsen, Michael A. Riegler:
Imputation using training labels and classification via label imputation. CoRR abs/2311.16877 (2023) - 2022
- [j3]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:
ASMCNN: An efficient brain extraction using active shape model and convolutional neural networks. Inf. Sci. 591: 25-48 (2022) - [j2]Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T. Nguyen, Bruce Alan Wade:
DPER: Direct Parameter Estimation for Randomly missing data. Knowl. Based Syst. 240: 108082 (2022) - [c4]Thu Nguyen, Quang M. Le, Son N. T. Tu, Binh T. Nguyen:
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification. IJCNN 2022: 1-8 - [c3]Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Nguyen Thanh Binh, Pål Halvorsen, Michael A. Riegler:
Parallel feature selection based on the trace ratio criterion. IJCNN 2022: 1-8 - [c2]Vajira Thambawita, Steven Hicks, Andrea M. Storås, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Hammer, Thu Nguyen, Pål Halvorsen, Michael Riegler:
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. MediaEval 2022 - [d1]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:
VISEM-Tracking. Zenodo, 2022
- [i7]Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Nguyen Thanh Binh, Pål Halvorsen, Michael Riegler:
Parallel feature selection based on the trace ratio criterion. CoRR abs/2203.01635 (2022) - [i6]Thu Nguyen, Quang M. Le, Son N. T. Tu, Binh T. Nguyen:
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification. CoRR abs/2205.13565 (2022) - [i5]Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen:
Principle Components Analysis based frameworks for efficient missing data imputation algorithms. CoRR abs/2205.15150 (2022) - [i4]Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to increase the number of samples and improve model fitting. CoRR abs/2210.05165 (2022) - [i3]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:
VISEM-Tracking: Human Spermatozoa Tracking Dataset. CoRR abs/2212.02842 (2022) - 2021
- [j1]Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade:
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. Inf. Sci. 567: 1-22 (2021) - [i2]Thu Nguyen, Khoi Minh Nguyen-Duy, Duy Ho Minh Nguyen, Binh T. Nguyen, Bruce Alan Wade:
DPER: Efficient Parameter Estimation for Randomly Missing Data. CoRR abs/2106.05190 (2021) - 2020
- [c1]Yi He, Sheng Chen, Thu Nguyen, Bruce A. Wade, Xindong Wu:
Deep Matrix Tri-Factorization: Mining Vertex-wise Interactions in Multi-Space Attributed Graphs. SDM 2020: 334-342 - [i1]Thu Nguyen, Duy M. H. Nguyen, Huy Nguyen, Binh T. Nguyen, Bruce A. Wade:
EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data. CoRR abs/2009.11360 (2020)
Coauthor Index
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