Maame G. Asante-Mensah
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View article: An ensemble learning approach for diabetes prediction using the stacking method
An ensemble learning approach for diabetes prediction using the stacking method Open
Diabetes is a severe illness characterized by high blood glucose levels. Machine learning algorithms, with their ability to detect and predict diabetes in its early stages, offer a promising avenue for research. This study sought to enhanc…
View article: Corrections to “Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)”
Corrections to “Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)” Open
In the above article [1], Equation (2) should be changed to
View article: Image Reconstruction using Superpixel Clustering and Tensor Completion
Image Reconstruction using Superpixel Clustering and Tensor Completion Open
This paper presents a pixel selection method for compact image representation based on superpixel segmentation and tensor completion. Our method divides the image into several regions that capture important textures or semantics and select…
View article: Cross Tensor Approximation for Image and Video Completion
Cross Tensor Approximation for Image and Video Completion Open
This paper proposes a general framework to use the cross tensor approximation or tensor ColUmn-Row (CUR) approximation for reconstructing incomplete images and videos. The key importance of the new algorithms is their simplicity and ease o…
View article: Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD) Open
Big data analysis has become a crucial part of new emerging technologies such as the internet of things, cyber-physical analysis, deep learning, anomaly detection, etc. Among many other techniques, dimensionality reduction plays a key role…
View article: Matrix and tensor completion using tensor ring decomposition with sparse representation
Matrix and tensor completion using tensor ring decomposition with sparse representation Open
Completing a data tensor with structured missing components is a challenging task where the missing components are not distributed randomly but they admit some regular patterns, e.g. missing columns and rows or missing blocks/patches. Many…
View article: Randomized algorithms for fast computation of low rank tensor ring model
Randomized algorithms for fast computation of low rank tensor ring model Open
View article: Randomized Algorithms for Computation of Tucker decomposition and Higher\n Order SVD (HOSVD)
Randomized Algorithms for Computation of Tucker decomposition and Higher\n Order SVD (HOSVD) Open
Big data analysis has become a crucial part of new emerging technologies such\nas the internet of things, cyber-physical analysis, deep learning, anomaly\ndetection, etc. Among many other techniques, dimensionality reduction plays a\nkey r…
View article: Applying Cluster Refinement to Improve Crowd-Based Data Duplicate Detection Approach
Applying Cluster Refinement to Improve Crowd-Based Data Duplicate Detection Approach Open
In this paper, we present an extension on a hybrid-based deduplication technique in entity reconciliation (ER), by proposing an algorithm that builds clusters upon receiving a pre-specified K number of clusters, and second developing a cro…