Thu Nguyen

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 54

Top Topics

Scene Text Recognition

Principal Components

Parameter Estimation

Data Imputation

Top Venues

Publications

Tuan L. Vo, Thu Nguyen, Hugo L. Hammer, Michael A. Riegler, Pål Halvorsen
Explainability of Machine Learning Models under Missing Data. CoRR (2024)
Tuan L. Vo, Uyen Dang, Thu Nguyen
Weighted Missing Linear Discriminant Analysis: An Explainable Approach for Classification with Missing Data. CoRR (2024)
Tuan-Kiet Tran-Ngo, Thu Nguyen, Khoa Tan Vo, Mong-Thy Nguyen-Thi, Tu-Anh Nguyen-Hoang, Tri Nguyen, Ngoc-Thanh Dinh
Distributed Key Architecture for Blockchain Wallets. ICCAE (2024)
Ayse A. Bekar-Cesaretli, Omeir Khan, Thu Nguyen, Dima Kozakov, Diane Joseph-Mccarthy, Sandor Vajda
Conservation of Hot Spots and Ligand Binding Sites in Protein Models by AlphaFold2. J. Chem. Inf. Model. 64 (3) (2024)
Thu Nguyen, Willy Wriggers, Jing He
A Data Set of Paired Structural Segments Between Protein Data Bank and AlphaFold DB for Medium-Resolution Cryo-EM Density Maps: A Gap in Overall Structural Quality. ISBRA (3) (2024)
Thu Nguyen, Alessandro Canossa, Jichen Zhu
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey. CoRR (2024)
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)
Minh-Quan Vo, Thu Nguyen, Michael A. Riegler, Hugo Lewi Hammer
Efficient Estimation of Generative Models Using Tukey Depth. Algorithms 17 (3) (2024)
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)
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 (2023)
Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler
Combining datasets to improve model fitting. IJCNN (2023)
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)
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 (2023)
P. Le Lien, Tu T. Do, Thu Nguyen
Data Imputation for Multivariate Time-series Data. KSE (2023)
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)
Thu Nguyen, Khoa Tan Vo, Thu-Thuy Ta, Tu-Anh Nguyen-Hoang, Ngoc-Thanh Dinh
Model for Verifying the Reliability of Candidate Data Based on Blockchain Technology. ICCAE (2023)
Khoa Tan Vo, Thu Nguyen, Thu-Thuy Ta, Tu-Anh Nguyen-Hoang, Ngoc-Thanh Dinh
Student Management Model Integrating E-Commerce Based on Blockchain Technology. ICCAE (2023)
Thu Nguyen, Pål Halvorsen, Michael A. Riegler
Imputation using training labels and classification via label imputation. CoRR (2023)
Thu Nguyen, Yongcheng Mu, Jiangwen Sun, Jing He
An Approach to Developing Benchmark Datasets for Protein Secondary Structure Segmentation from Cryo-EM Density Maps. BCB (2023)
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 (2023)
Mehmet Emin Aktas, Thu Nguyen, Rakin Riza, Muhammad Ifte Islam, Esra Akbas
Hypergraph Classification via Persistent Homology. CoRR (2023)
Thu Nguyen, Andrea M. Storås, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Michael A. Riegler
Multimedia Datasets: Challenges and Future Possibilities. MMM (2) (2023)
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)
V. O. Khoa Tan, Thu Nguyen
The Real Estate Transaction Trace System Model Based on Ethereum Blockchain Platform. ICCAE (2022)
Thu Nguyen, Jichen Zhu
Towards Better User Requirements: How to Involve Human Participants in XAI Research. CoRR (2022)
Thu Nguyen, Ngoc Vu, Binh Ly
An approach to constructing a graph data repository for course recommendation based on IT career goals in the context of big data. Big Data (2022)
Duy M. H. Nguyen, Duy M. Nguyen, Truong T. N. 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 (2022)
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 (2022)
Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Thanh-Binh Nguyen, Pål Halvorsen, Michael A. Riegler
Parallel feature selection based on the trace ratio criterion. IJCNN (2022)
Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Thanh-Binh Nguyen, Pål Halvorsen, Michael Riegler
Parallel feature selection based on the trace ratio criterion. CoRR (2022)
Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen
Principle Components Analysis based frameworks for efficient missing data imputation algorithms. CoRR (2022)
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 (2022)
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)
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 (2022)
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 (2022)
Son N. T. Tu, Thu Nguyen
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural Network. CoRR (2022)
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 (2021)
Lam Huynh, Tri Nguyen, Thu Nguyen, Susanna Pirttikangas, Pekka Siirtola
StressNAS: Affect State and Stress Detection Using Neural Architecture Search. UbiComp/ISWC Adjunct (2021)
Mehmet Emin Aktas, Thu Nguyen, Esra Akbas
Homology Preserving Graph Compression. ICMLA (2021)
Mehmet Emin Aktas, Thu Nguyen, Sidra Jawaid, Rakin Riza, Esra Akbas
Identifying critical higher-order interactions in complex networks. CoRR (2021)
Nguyen Nguyen, Thu Nguyen, Vinh Tran, Minh-Triet Tran, Thanh Duc Ngo, Thien Huu Nguyen, Minh Hoai
Dictionary-Guided Scene Text Recognition. CVPR (2021)
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 (2021)
Shayan Fazeli, Davina Zamanzadeh, Anaelia Ovalle, Thu Nguyen, Gilbert Gee, Majid Sarrafzadeh
COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations. CoRR (2021)
Lam Huynh, Tri Nguyen, Thu Nguyen, Susanna Pirttikangas, Pekka Siirtola
StressNAS: Affect State and Stress Detection Using Neural Architecture Search. CoRR (2021)
Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai
Learning To Count Everything. CVPR (2021)
Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai
Learning To Count Everything. CoRR (2021)
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 (2020)
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)
George Yin, Le Yi Wang, Thu Nguyen
Switching Stochastic Approximation and Applications to Networked Systems. IEEE Trans. Autom. Control. 64 (9) (2019)
Thu Nguyen
Dropping forward-backward algorithms for feature selection. CoRR (2019)
Thu Nguyen, Le Yi Wang, George Yin, Hongwei Zhang, Shengbo Eben Li, Keqiang Li
Impact of Communication Erasure Channels on Control Performance of Connected and Automated Vehicles. IEEE Trans. Veh. Technol. 67 (1) (2018)
Thu Nguyen, Khang Tran, Hung Nguyen
Towards Thermal Region of Interest for Human Emotion Estimation. KSE (2018)
Prashant Dubey, Kritika Aditya, Ankur Srivastava, Amit Khanuja, Jamil Kawa, Thu Nguyen
A 0.42V high bandwidth synthesizable parallel access smart memory fabric for computer vision. ISCAS (2017)
David Chang, Thu Nguyen, Niko Takayesu
Scrambler: dynamic layout adaptation. SPLASH (Companion Volume) (2016)
Thu Nguyen
MapMyTrip app for Android smart phone. COM.Geo (2012)
Yvonne Coady, Russ Cox, John DeTreville, Peter Druschel, Joseph Hellerstein, Andrew Hume, Kimberly Keeton, Thu Nguyen, Christopher Small, Lex Stein, Andrew Warfield
Falling Off the Cliff: When Systems Go Nonlinear. HotOS (2005)
Thu Nguyen, John Ingram
Native and vietnamese production of compound and phrasal stress patterns. INTERSPEECH (2002)
Edward Amoroso, Thu Nguyen, Jonathan Weiss, John Watson, Pete Lapiska, Terry Starr
Toward an Approach to Measuring Software Trust. IEEE Symposium on Security and Privacy (1991)
Thu Nguyen
Coset correlation of m-sequences. IEEE Trans. Inf. Theory 34 (1) (1988)