Dimensionality Reduction - AI Medical Compendium

A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques.

Scientific reports Jul 2, 2025

In this paper, three Double Machine Learning (DML) models are proposed to enhance the accuracy of breast cancer detection using machine learning techniques using breast cancer detection dataset. The DML models learn the primary features using machine...

Machine Learning Algorithms Humans Neural Networks, Computer Early Detection of Cancer Dimensionality Reduction Female Breast Neoplasms

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EEG-based epilepsy detection using CNN-SVM and DNN-SVM with feature dimensionality reduction by PCA.

Scientific reports Apr 24, 2025

This study focuses on epilepsy detection using hybrid CNN-SVM and DNN-SVM models, combined with feature dimensionality reduction through PCA. The goal is to evaluate the effectiveness and performance of these models in accurately identifying epilepti...

Dimensionality Reduction Epilepsy Databases, Factual Support Vector Machine Principal Component Analysis Electroencephalography Neural Networks, Computer Algorithms Humans

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Incremental Classification for High-Dimensional EEG Manifold Representation Using Bidirectional Dimensionality Reduction and Prototype Learning.

IEEE journal of biomedical and health informatics Feb 10, 2025

In brain-computer interface (BCI) systems, symmetric positive definite (SPD) manifold within Riemannian space has been frequently utilized to extract spatial features from electroencephalogram (EEG) signals. However, the intrinsic high dimensionality...

Algorithms Dimensionality Reduction Brain Brain-Computer Interfaces Humans Machine Learning Neural Networks, Computer Adult Electroencephalography Principal Component Analysis Signal Processing, Computer-Assisted

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A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning.

PloS one Feb 6, 2025

Autonomous transportation systems have the potential to greatly impact the way we travel. A vital aspect of these systems is their connectivity, facilitated by intelligent transport applications. However, the safety ensured by the vehicular network c...

Principal Component Analysis Dimensionality Reduction Algorithms Deep Learning Humans

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Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality Reduction.

Journal of the American Heart Association Jul 1, 2025

BACKGROUND: Abnormal ventricular depolarization, evident as a broad QRS complex on an ECG, is traditionally categorized into left bundle-branch block (LBBB) and right bundle-branch block or nonspecific intraventricular conduction delay. This categori...

Humans Aged Male Phenotype Female Unsupervised Machine Learning Heart Ventricles Bundle-Branch Block Dimensionality Reduction Electrocardiography Action Potentials Middle Aged

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A machine learning multimodal profiling of Per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques.

Food research international (Ottawa, Ont.) Jun 1, 2025

Per- and polyfluoroalkyl substances (PFAS) contamination in aquatic and terrestrial organisms poses significant environmental and health risks. This study quantified 15 PFAS compounds across various tissues (liver, kidney, gill, muscle, skin, lung, b...

Animals Birds Livestock Environmental Monitoring Machine Learning Fluorocarbons Fishes Tissue Distribution Cluster Analysis Food Contamination Dimensionality Reduction Liver Water Pollutants, Chemical

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AIMC Topic: Dimensionality Reduction

A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques.

EEG-based epilepsy detection using CNN-SVM and DNN-SVM with feature dimensionality reduction by PCA.

Incremental Classification for High-Dimensional EEG Manifold Representation Using Bidirectional Dimensionality Reduction and Prototype Learning.

A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning.

Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality Reduction.

A machine learning multimodal profiling of Per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques.

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AIMC Topic: Dimensionality Reduction

A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques.

EEG-based epilepsy detection using CNN-SVM and DNN-SVM with feature dimensionality reduction by PCA.

Incremental Classification for High-Dimensional EEG Manifold Representation Using Bidirectional Dimensionality Reduction and Prototype Learning.

A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning.

Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree-Based Dimensionality Reduction.

A machine learning multimodal profiling of Per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques.

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