Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Microarray cancer feature selection: Review, challenges and research directions
Microarray technology has become an emerging trend in the domain of genetic research in
which many researchers employ to study and investigate the levels of genes' expression in a …
which many researchers employ to study and investigate the levels of genes' expression in a …
Feature selection with multi-view data: A survey
This survey aims at providing a state-of-the-art overview of feature selection and fusion
strategies, which select and combine multi-view features effectively to accomplish …
strategies, which select and combine multi-view features effectively to accomplish …
A survey on feature selection
J Miao, L Niu - Procedia computer science, 2016 - Elsevier
Feature selection, as a dimensionality reduction technique, aims to choosing a small subset
of the relevant features from the original features by removing irrelevant, redundant or noisy …
of the relevant features from the original features by removing irrelevant, redundant or noisy …
A survey on hybrid feature selection methods in microarray gene expression data for cancer classification
The emergence of DNA Microarray technology has enabled researchers to analyze the
expression level of thousands of genes simultaneously. The Microarray data analysis is the …
expression level of thousands of genes simultaneously. The Microarray data analysis is the …
[HTML][HTML] EMG feature selection and classification using a Pbest-guide binary particle swarm optimization
Due to the increment in hand motion types, electromyography (EMG) features are
increasingly required for accurate EMG signals classification. However, increasing in the …
increasingly required for accurate EMG signals classification. However, increasing in the …
Robust structured subspace learning for data representation
To uncover an appropriate latent subspace for data representation, in this paper we propose
a novel Robust Structured Subspace Learning (RSSL) algorithm by integrating image …
a novel Robust Structured Subspace Learning (RSSL) algorithm by integrating image …
An IoT-enabled stroke rehabilitation system based on smart wearable armband and machine learning
Surface electromyography signal plays an important role in hand function recovery training.
In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based …
In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based …
Adaptive unsupervised feature selection with structure regularization
Feature selection is one of the most important dimension reduction techniques for its
efficiency and interpretation. Since practical data in large scale are usually collected without …
efficiency and interpretation. Since practical data in large scale are usually collected without …
A possibilistic information fusion-based unsupervised feature selection method using information quality measures
The main goal of most information quality (IQ)-based measures is to combine data provided
by multiple information sources to enhance the quality of information essential for decision …
by multiple information sources to enhance the quality of information essential for decision …
Clustering-guided sparse structural learning for unsupervised feature selection
Many pattern analysis and data mining problems have witnessed high-dimensional data
represented by a large number of features, which are often redundant and noisy. Feature …
represented by a large number of features, which are often redundant and noisy. Feature …