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Assessing gene stability and gene affinity in microarray data classification using an extended relieff algorithm
Microarray data have become an integral part of the clinical and drug discovery process. Due to its voluminous and heterogeneous nature, the question...
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Improved firefly algorithm for feature selection with the ReliefF-based initialization and the weighted voting mechanism
Feature selection has become popular in data mining tasks currently for its ability of improving the performance of the algorithm and gaining more...
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Mean based relief: An improved feature selection method based on ReliefF
Selection of relevant features is vitally important in machine learning tasks involving large datasets with numerous features. It helps in reducing...
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A repetitive feature selection method based on improved ReliefF for missing data
ReliefF is a representative and efficient algorithm amongst many feature selection methods, however, in the face of missing data, ReliefF and its...
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Cardio Vascular Disease Prediction Based on PCA-ReliefF Hybrid Feature Selection Method with SVM
In the whole world, Cardio Vascular Diseases (CVDs) are the main reason of death. The outcomes of patients are significantly improved by early...
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RG-NBEO: a ReliefF guided novel binary equilibrium optimizer with opposition-based S-shaped and V-shaped transfer functions for feature selection
In most data mining tasks, feature selection (FS) is a necessary preprocessing step that can reduce the dimensionality of the dataset while ensuring...
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A novel method for intrusion detection in computer networks by identifying multivariate outliers and ReliefF feature selection
The identification of unusual data in computer networks is a critical task for intrusion detection systems. In this study, a novel approach has been...
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Gene selection based on recursive spider wasp optimizer guided by marine predators algorithm
Detecting tumors using gene analysis in microarray data is a critical area of research in artificial intelligence and bioinformatics. However, due to...
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Real-time stress detection from smartphone sensor data using genetic algorithm-based feature subset optimization and k-nearest neighbor algorithm
Stress is the mood of pressure and tension that a person feels. Usually, when the pressure on an individual decrease, the body begins to stabilize...
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Feature Selection with a Binary Flamingo Search Algorithm and a Genetic Algorithm
In data mining, feature selection (FS) has become a significant data pre-processing tool that maximises the model's generalisation and minimises the...
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A novel filter feature selection algorithm based on relief
The Relief algorithm is a feature selection algorithm that uses the nearest neighbor to weight attributes. However, Relief only considers the...
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A Novel Feature Selection Algorithm for the Detection of Obstructive Sleep Apnea by Using Heart Rate Variability and ECG Derived Respiratory Analysis
Obstructive Sleep Apnea (OSA) is a commonly known slee** disorder whose undiagnosed and untreated condition can be fatal to cause cardiac...
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Brain tumour classification using BoF-SURF with filter-based feature selection methods
Currently, cancer is a global concern with a focus on reducing its incidence and advancing diagnostic techniques. Faster and more precise cancer cell...
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Hybrid feature selection based on SLI and genetic algorithm for microarray datasets
One of the major problems in microarray datasets is the large number of features, which causes the issue of “the curse of dimensionality” when...
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Automated steel surface defect detection and classification using a new deep learning-based approach
In this study, a new deep learning-based approach has been developed that detects and classifies surface defects that occur in the steel production...
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Feature selection optimized by the artificial immune algorithm based on genome shuffling and conditional lethal mutation
Improving classification performance is an essential goal for various practical applications. Feature selection has become an important data...
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An automated internet of behavior detection method based on feature selection and multiple pooling using network data
Nowadays, the internet is the most used communication environment, and therefore it becomes very important to try to determine the behavior of users...
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Intrusion detection for IoT based on a hybrid shuffled shepherd optimization algorithm
The use of current data management technologies for the Internet of Things (IoT) is not straightforward due to interface heterogeneity, highly...
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MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201
BackgroundMonkeypox is a viral disease caused by the monkeypox virus (MPV). A surge in monkeypox infection has been reported since early May 2022,...
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Detection of Alzheimer’s disease using grey wolf optimization based clustering algorithm and deep neural network from magnetic resonance images
The automated magnetic resonance imaging (MRI) processing techniques are gaining more importance in Alzheimer disease (AD) recognition, because it...
