Search Results for author: Mai Anh Vu

Found 4 papers, 1 papers with code

Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods

no code implementations10 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.

Imputation

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction

no code implementations10 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.

Dimensionality Reduction Imputation

Traffic Density Estimation using a Convolutional Neural Network

no code implementations5 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.

BIG-bench Machine Learning Density Estimation

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