no code implementations • 10 May 2023 • Nhat-Hao Pham, Khanh-Linh Vo, Mai Anh Vu, Thu Nguyen, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
Correlation matrix visualization is essential for understanding the relationships between variables in a dataset, but missing data can pose a significant challenge in estimating correlation coefficients.
no code implementations • 10 May 2023 • Tu T. Do, Mai Anh Vu, Tuan L. Vo, Hoang Thien Ly, Thu Nguyen, Steven A. Hicks, Michael A. Riegler, Pål Halvorsen, Binh T. Nguyen
To address this issue, we propose a Blockwise principal component analysis Imputation (BPI) framework for dimensionality reduction and imputation of monotone missing data.
1 code implementation • 2 Feb 2023 • Mai Anh Vu, Thu Nguyen, Tu T. Do, Nhan Phan, Nitesh V. Chawla, Pål Halvorsen, Michael A. Riegler, Binh T. Nguyen
Missing data frequently occurs in datasets across various domains, such as medicine, sports, and finance.
no code implementations • 5 Sep 2018 • Julian Nubert, Nicholas Giai Truong, Abel Lim, Herbert Ilhan Tanujaya, Leah Lim, Mai Anh Vu
A traffic density estimation algorithm at traffic lights/junctions and 2. a suitable traffic signal control algorithms that make use of the density information for better traffic control.