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Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms
Published 2021-01-01“…This article has conducted an experimental evaluation of the performance of models created using classification algorithms and relevant features selected using various feature selection approaches. …”
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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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Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities
Published 2022-01-01“…Further, the RCAMD employs Monte Carlo feature selection (MCFS) and steady-state probabilities (SSPs) to comprehensively collect information from various stations and drought indices. …”
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Feature selection method for software defect number prediction based on maximum information coefficient
Published 2021-05-01Subjects: Get full text
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An Approach for Detecting Parkinson’s Disease by Integrating Optimal Feature Selection Strategies with Dense Multiscale Sample Entropy
Published 2024-12-01Subjects: Get full text
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Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection
Published 2025-02-01Subjects: Get full text
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G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data
Published 2024-09-01Subjects: Get full text
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Identification of Biomarkers for Esophageal Squamous Cell Carcinoma Using Feature Selection and Decision Tree Methods
Published 2013-01-01“…This study proposes a sequential forward feature selection algorithm to design decision tree models for discriminating ESCC from normal tissues. …”
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Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks
Published 2025-01-01“…To address this, we present a novel causal-based framework for feature selection and domain adaptation to enhance the performance of chemical foundation models on downstream tasks. …”
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PreLect: Prevalence leveraged consistent feature selection decodes microbial signatures across cohorts
Published 2025-01-01“…Addressing this, we introduce PreLect, an innovative feature selection framework that harnesses microbes’ prevalence to facilitate consistent selection in sparse microbiota data. …”
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Comparative Analysis of Deep Learning Algorithm for Cancer Classification using Multi-omics Feature Selection
Published 2022-10-01“…Moreover, this study also investigates the impact of feature selection in multi-omics analysis through the implementation of an embedded feature selection. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020-01-01“…This condition is attributed to the increasing number of audit data features and the decreasing performance of human-based smart intrusion detection systems regarding classification accuracy, false alarm rate, and classification time. Feature selection and classifier parameter tuning are important factors that affect the performance of any intrusion detection system. …”
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Application of deep learning and feature selection technique on external root resorption identification on CBCT images
Published 2024-02-01Subjects: Get full text
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How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting
Published 2022-01-01Subjects: Get full text
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Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization
Published 2015-07-01“…The basic CSO algorithm was integrated with a local search procedure as well as the feature selection and parameter optimization of support vector machines (SVMs). …”
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Feature selection and data‐driven model for predicting the remaining useful life of lithium‐ion batteries
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An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease
Published 2024-01-01“…The performance of the machine learning classifiers based on the ensemble feature selection methods is analyzed.…”
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