Results 11 to 20 of about 87,928 (288)
Cancer Informatics, 2006 Microarrays allow researchers to monitor the gene expression patterns for tens of thousands of genes across a wide range of cellular responses, phenotype and conditions.
Yanxiong Peng, Wenyuan Li, Ying Liu Ph.D
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IEEE Access, 2022 Semi-supervised learning (SSL) is a machine learning approach that integrates supervised and unsupervised learning mechanisms. This integration may be done in different ways and one possibility is to use a wrapper-based strategy.
Cephas A. S. Barreto +3 more
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Sensors, 2020 Electronic nose is a kind of widely-used artificial olfactory system for the detection and classification of volatile organic compounds. The high dimensionality of data collected by electronic noses can hinder the process of pattern recognition.
Chao Zhang, Wen Wang, Yong Pan
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Online visual detection method of defective Baoyu-flavor-slices based on mechanical vision
Shipin yu jixie, 2022 Objective: To solve the problem of appearance defects of Baoyu-flavor-slices, such as edge damage, internal porosity and uneven wrapper thickness in the production process. Methods: An on-line detection method based on machine vision was proposed.
XIANG Yu-hang +2 more
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Artificial Intelligence based wrapper for high dimensional feature selection
BMC Bioinformatics, 2023 Background Feature selection is important in high dimensional data analysis. The wrapper approach is one of the ways to perform feature selection, but it is computationally intensive as it builds and evaluates models of multiple subsets of features.
Rahi Jain, Wei Xu
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On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data.
PLoS ONE, 2023 Cell type identification is one of the fundamental tasks in single-cell RNA sequencing (scRNA-seq) studies. It is a key step to facilitate downstream interpretations such as differential expression, trajectory inference, etc.
Grace Yee Lin Ng +2 more
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JMIR mHealth and uHealth, 2021 BackgroundFor rehabilitation training systems, it is essential to automatically record and recognize exercises, especially when more than one type of exercise is performed without a predefined sequence.
Qiaoqin Li +11 more
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Hybrid Symmetrical Uncertainty and Reference Set Harmony Search Algorithm for Gene Selection Problem
Mathematics, 2022 Selecting the most miniature possible set of genes from microarray datasets for clinical diagnosis and prediction is one of the most challenging machine learning tasks. A robust gene selection technique is required to identify the most significant subset
Salam Salameh Shreem +3 more
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Selection of biologically relevant genes with a wrapper stochastic algorithm [PDF]
, 2007 International audienceWe investigate an important issue of a meta-algorithm for selecting variables in the framework of microarray data. This wrapper method starts from any classification algorithm and weights each variable (i.e.
Besse, Philippe +3 more
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Hybrid Feature Selection Framework for Bearing Fault Diagnosis Based on Wrapper-WPT
Machines, 2022 A framework aimed to improve the bearing-fault diagnosis accuracy using a hybrid feature-selection method based on Wrapper-WPT is proposed in this paper.
Andrei S. Maliuk +2 more
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