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141
Selective dorsal rhizotomy in cerebral palsy: the efficiency and the specific features of rehabilitation
Published 2025-01-01“…The provided literature review contains a historic reference on the development of the technology along with the current data on the efficiency of surgical intervention with the analyzed research results in terms of the methods and the specific features of rehabilitation among the patients with the diagnosis of cerebral palsy after selective dorsal rhizotomy. …”
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142
Consensus Guided Multi-View Unsupervised Feature Selection with Hybrid Regularization
Published 2025-06-01Subjects: “…unsupervised feature selection…”
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143
Fusion of MHSA and Boruta for key feature selection in power system transient angle stability
Published 2025-01-01Subjects: Get full text
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144
Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection
Published 2025-02-01Subjects: Get full text
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145
CatBoost Optimization Using Recursive Feature Elimination
Published 2024-08-01Subjects: Get full text
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146
Joint feature selection and classification of low-resolution satellite images using the SAT-6 dataset
Published 2025-09-01Subjects: Get full text
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147
AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system
Published 2025-12-01“…In stage 1, various filter-based feature selection methods are applied extract features from intial dataset. …”
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148
Online LiDAR-Camera Extrinsic Calibration Using Selected Semantic Features
Published 2025-01-01“…Our method could effectively ameliorate the problem of targetless methods which usually lack robust features and the correspondences. We also propose a feature selection technique to filter out improper feature correspondences by matching the image contours and point cloud projection contours. …”
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149
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150
Fractal features of structures of gas flow in selected gas stations of I order
Published 2012-07-01Get full text
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151
Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection
Published 2025-06-01“…This paper presents an Artificial Neural Network (ANN) model optimized using feature selection techniques based on Explainable AI (XAI) methods to enhance SR prediction performance. …”
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152
Elevating Accuracy: Enhanced Feature Selection Methods for Type 2 Diabetes Prediction
Published 2024-04-01“…In this study using the Pima dataset, we applied a preprocessing technique that utilized the most important features identified by the Random Forest algorithm and we used an ensemble method combining the SVM algorithm and Naïve Bayes for the model. …”
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153
Selection of geometrical features of nuclei оn fluorescent images of cancer cells
Published 2019-06-01“…The methods of geometric informative features selection of nuclei on fluorescent images of cancer cells are considered. …”
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154
OSFS‐Vague: Online streaming feature selection algorithm based on vague set
Published 2024-12-01Subjects: “…feature selection…”
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155
MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics
Published 2024-01-01Subjects: “…Features selection…”
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156
Hyperspectral estimation of chlorophyll content in grapevine based on feature selection and GA-BP
Published 2025-03-01Subjects: Get full text
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157
Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection
Published 2025-01-01Subjects: “…Feature selection…”
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158
Effects of data transformation and model selection on feature importance in microbiome classification data
Published 2025-01-01“…Conclusions Microbiome data transformations can significantly influence feature selection but have a limited effect on classification accuracy. …”
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159
Optimizing Mental Stress Detection via Heart Rate Variability Feature Selection
Published 2025-07-01Subjects: Get full text
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160
Adversarial Threats to Cloud IDS: Robust Defense With Adversarial Training and Feature Selection
Published 2025-01-01“…To mitigate these vulnerabilities, we explicitly propose a dual-layered defense strategy: (i) adversarial training, explicitly incorporating adversarial examples into model training to improve robustness, and (ii) SHAP-based robust feature selection, explicitly enhancing interpretability and resilience by identifying stable, attack-resistant features. …”
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