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2020 – today
- 2024
[j9]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)- [j8]Minh-Quan Vo, Thu Nguyen, Michael A. Riegler, Hugo Lewi Hammer:
Efficient Estimation of Generative Models Using Tukey Depth. Algorithms 17(3): 120 (2024) - [j7]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): 960-973 (2024) - [c32]Viet Nguyen, Vu Bui, Thu Nguyen:
A Comprehensive Approach for Graph Data Warehouse Design: A Case Study for Learning Path Recommendation Based on Career Goals. KMIS 2024: 230-237 - [c31]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: 93-97 - [c30]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 - [c29]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: 52-63 - [c28]Long Nguyen, Thu Nguyen, Khoa Tan Vo, Tu-Anh Nguyen Hoang, Tri Nguyen, Ngoc-Thanh Dinh:
Enhancing Sequential Recommendation System For MOOCs Based On Heterogeneous Information Networks. MAPR 2024: 1-6 - [c27]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 - [i22]Thu Nguyen, Alessandro Canossa, Jichen Zhu:
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey. CoRR abs/2403.14496 (2024) - [i21]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) - [i20]Tuan L. Vo, Uyen Dang, Thu Nguyen:
Weighted Missing Linear Discriminant Analysis: An Explainable Approach for Classification with Missing Data. CoRR abs/2407.00710 (2024) - 2023
- [c26]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 - [c25]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 - [c24]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: 102:1-102:8 - [c23]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: 45-49 - [c22]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: 55-59 - [c21]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 - [c20]Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to improve model fitting. IJCNN 2023: 1-9 - [c19]P. Le Lien, Tu T. Do, Thu Nguyen:
Data Imputation for Multivariate Time-series Data. KSE 2023: 1-6 - [c18]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 - [i19]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) - [i18]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) - [i17]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) - [i16]Mehmet Emin Aktas, Thu Nguyen, Rakin Riza, Muhammad Ifte Islam, Esra Akbas:
Hypergraph Classification via Persistent Homology. CoRR abs/2306.11484 (2023) - [i15]Thu Nguyen, Pål Halvorsen, Michael A. Riegler:
Imputation using training labels and classification via label imputation. CoRR abs/2311.16877 (2023) - 2022
- [j6]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) - [j5]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) - [c17]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. IEEE Big Data 2022: 301-308 - [c16]V. O. Khoa Tan, Thu Nguyen:
The Real Estate Transaction Trace System Model Based on Ethereum Blockchain Platform. ICCAE 2022: 173-177 - [c15]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 - [c14]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 - [c13]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
- [i14]Son N. T. Tu, Thu Nguyen:
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural Network. CoRR abs/2202.09282 (2022) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]Thu Nguyen, Jichen Zhu:
Towards Better User Requirements: How to Involve Human Participants in XAI Research. CoRR abs/2212.03186 (2022) - 2021
- [j4]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) - [c12]Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai:
Learning To Count Everything. CVPR 2021: 3394-3403 - [c11]Nguyen Nguyen, Thu Nguyen, Vinh Tran, Minh-Triet Tran, Thanh Duc Ngo, Thien Huu Nguyen, Minh Hoai:
Dictionary-Guided Scene Text Recognition. CVPR 2021: 7383-7392 - [c10]Lam Huynh, Tri Nguyen, Thu Nguyen, Susanna Pirttikangas, Pekka Siirtola:
StressNAS: Affect State and Stress Detection Using Neural Architecture Search. UbiComp/ISWC Adjunct 2021: 121-125 - [c9]Mehmet Emin Aktas, Thu Nguyen, Esra Akbas:
Homology Preserving Graph Compression. ICMLA 2021: 930-935 - [i7]Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai:
Learning To Count Everything. CoRR abs/2104.08391 (2021) - [i6]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 abs/2104.10807 (2021) - [i5]Mehmet Emin Aktas, Thu Nguyen, Sidra Jawaid, Rakin Riza, Esra Akbas:
Identifying critical higher-order interactions in complex networks. CoRR abs/2105.02763 (2021) - [i4]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) - [i3]Lam Huynh, Tri Nguyen, Thu Nguyen, Susanna Pirttikangas, Pekka Siirtola:
StressNAS: Affect State and Stress Detection Using Neural Architecture Search. CoRR abs/2108.12502 (2021) - 2020
- [c8]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 - [i2]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)
2010 – 2019
- 2019
- [j3]George Yin, Le Yi Wang, Thu Nguyen:
Switching Stochastic Approximation and Applications to Networked Systems. IEEE Trans. Autom. Control. 64(9): 3587-3601 (2019) - [i1]Thu Nguyen:
Dropping forward-backward algorithms for feature selection. CoRR abs/1910.08007 (2019) - 2018
- [j2]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): 29-43 (2018) - [c7]Thu Nguyen, Khang Tran, Hung Nguyen:
Towards Thermal Region of Interest for Human Emotion Estimation. KSE 2018: 152-157 - 2017
- [c6]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: 1-4 - 2016
- [c5]David Chang, Thu Nguyen, Niko Takayesu:
Scrambler: dynamic layout adaptation. SPLASH (Companion Volume) 2016: 71-72 - 2012
- [c4]Thu Nguyen:
MapMyTrip app for Android smart phone. COM.Geo 2012: 36
2000 – 2009
- 2005
- [c3]Yvonne Coady, Russ Cox, John DeTreville, Peter Druschel, Joseph L. Hellerstein, Andrew Hume, Kimberly Keeton, Thu Nguyen, Christopher Small, Lex Stein, Andrew Warfield:
Falling Off the Cliff: When Systems Go Nonlinear. HotOS 2005 - 2002
- [c2]Thu Nguyen, John Ingram:
Native and vietnamese production of compound and phrasal stress patterns. INTERSPEECH 2002: 533-536
1990 – 1999
- 1991
- [c1]Edward Amoroso, Thu Nguyen, Jonathan Weiss, John Watson, Pete Lapiska, Terry Starr:
Toward an Approach to Measuring Software Trust. S&P 1991: 198-218
1980 – 1989
- 1988
- [j1]Thu Nguyen:
Coset correlation of m-sequences. IEEE Trans. Inf. Theory 34(1): 141-143 (1988)
Coauthor Index
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