[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 …
Mechanism characteristic analysis and soft measuring method review for ball mill load based on mechanical vibration and acoustic signals in the grinding process
J Tang, J Qiao, Z Liu, X Zhou, G Yu, J Zhao - Minerals Engineering, 2018 - Elsevier
An operational optimization control for a mineral grinding process is limited by unmeasured
load parameter inside a ball mill given its complex and unclear production mechanism. A …
load parameter inside a ball mill given its complex and unclear production mechanism. A …
Short-term wind power forecasting using adaptive neuro-fuzzy inference system combined with evolutionary particle swarm optimization, wavelet transform and mutual …
The non-stationary and stochastic nature of wind power reveals itself a difficult task to
forecast and manage. In this context, with the continuous increment of wind farms and their …
forecast and manage. In this context, with the continuous increment of wind farms and their …
[HTML][HTML] Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts
M Dashtban, M Balafar - Genomics, 2017 - Elsevier
Gene selection is a demanding task for microarray data analysis. The diverse complexity of
different cancers makes this issue still challenging. In this study, a novel evolutionary …
different cancers makes this issue still challenging. In this study, a novel evolutionary …
A novel feature selection method considering feature interaction
Z Zeng, H Zhang, R Zhang, C Yin - Pattern Recognition, 2015 - Elsevier
Interacting features are those that appear to be irrelevant or weakly relevant with the class
individually, but when it combined with other features, it may highly correlate to the class …
individually, but when it combined with other features, it may highly correlate to the class …
Gene selection for microarray data classification using a novel ant colony optimization
The high-dimensionality of microarray data with small number of samples has presented a
difficult challenge for the microarray data classification task. The aim of gene selection is to …
difficult challenge for the microarray data classification task. The aim of gene selection is to …
Framework for the ensemble of feature selection methods
Feature selection (FS) has attracted the attention of many researchers in the last few years
due to the increasing sizes of datasets, which contain hundreds or thousands of columns …
due to the increasing sizes of datasets, which contain hundreds or thousands of columns …
On some aspects of minimum redundancy maximum relevance feature selection
P Bugata, P Drotar - Science China Information Sciences, 2020 - Springer
The feature selection is an important challenge in many areas of machine learning because
it plays a crucial role in the interpretations of machine-driven decisions. There are various …
it plays a crucial role in the interpretations of machine-driven decisions. There are various …
Feature evaluation and selection with cooperative game theory
X Sun, Y Liu, J Li, J Zhu, H Chen, X Liu - Pattern recognition, 2012 - Elsevier
Recent years, various information theoretic based measurements have been proposed to
remove redundant features from high-dimensional data set as many as possible. However …
remove redundant features from high-dimensional data set as many as possible. However …
Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering
Non-negative matrix factorization (NMF) can map high-dimensional data into a low-
dimensional data space. Feature selection can eliminate the redundant and irrelevant …
dimensional data space. Feature selection can eliminate the redundant and irrelevant …