AIMC Topic: Dimensionality Reduction

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NeuralTSNE: A Python Package for the Dimensionality Reduction of Molecular Dynamics Data Using Neural Networks.

Journal of chemical information and modeling Jul 14, 2025
Unsupervised machine learning has recently gained much attention in the field of molecular dynamics (MD). Particularly, dimensionality reduction techniques have been regularly employed to analyze large volumes of high-dimensional MD data to gain insi...
Neural Networks, Computer Software Dimensionality Reduction Molecular Dynamics Simulation
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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...
Neural Networks, Computer Machine Learning Algorithms Humans Early Detection of Cancer Female Dimensionality Reduction 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...
Epilepsy Dimensionality Reduction Algorithms Humans Principal Component Analysis Support Vector Machine Neural Networks, Computer Databases, Factual Electroencephalography
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TCH: A novel multi-view dimensionality reduction method based on triple contrastive heads.

Neural networks : the official journal of the International Neural Network Society Apr 9, 2025
Multi-view dimensionality reduction (MvDR) is a potent approach for addressing the high-dimensional challenges in multi-view data. Recently, contrastive learning (CL) has gained considerable attention due to its superior performance. However, most CL...
Algorithms Dimensionality Reduction Neural Networks, Computer Machine Learning Humans
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Adaptive bigraph-based multi-view unsupervised dimensionality reduction.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2025
As a crucial machine learning technology, graph-based multi-view unsupervised dimensionality reduction aims to learn compact low-dimensional representations for unlabeled multi-view data using graph structures. However, it faces several challenges, i...
Humans Algorithms Unsupervised Machine Learning Dimensionality Reduction Neural Networks, Computer Machine Learning
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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...
Principal Component Analysis Electroencephalography Brain Adult Dimensionality Reduction Signal Processing, Computer-Assisted Humans Machine Learning Brain-Computer Interfaces Neural Networks, Computer Algorithms
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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...
Dimensionality Reduction Deep Learning Humans Principal Component Analysis Algorithms
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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...
Heart Ventricles Bundle-Branch Block Action Potentials Unsupervised Machine Learning Dimensionality Reduction Female Aged Middle Aged Electrocardiography Male Humans Phenotype
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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...
Water Pollutants, Chemical Cluster Analysis Fluorocarbons Fishes Liver Environmental Monitoring Food Contamination Birds Livestock Tissue Distribution Dimensionality Reduction Machine Learning Animals
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