AIMC Topic: Dimensionality Reduction

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Interpretable one-class classification framework for prescription error detection using BERT embeddings and dimensionality reduction.

Computers in biology and medicine Jul 30, 2025
Ensuring accurate prescriptions and proper medication administration is critical for patient safety and effective clinical outcomes. Identifying and preventing prescription errors can significantly reduce healthcare costs and adverse health effects. ...
Drug Prescriptions Medication Errors Dimensionality Reduction Machine Learning Algorithms Humans
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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...
Software Molecular Dynamics Simulation Dimensionality Reduction Neural Networks, Computer
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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...
Humans Machine Learning Algorithms Neural Networks, Computer Early Detection of Cancer Dimensionality Reduction Female Breast Neoplasms
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ScAGCN: Graph Convolutional Network with Adaptive Aggregation Mechanism for scRNA-seq Data Dimensionality Reduction.

Interdisciplinary sciences, computational life sciences Apr 25, 2025
With the development of single-cell RNA-sequencing (scRNA-seq) technology, scRNA-seq data analysis suffers huge challenges due to large scale, high dimensionality, high noise, and high sparsity. To achieve accurately embedded representation in the la...
Algorithms Single-Cell Analysis RNA-Seq Humans Neural Networks, Computer Sequence Analysis, RNA Single-Cell Gene Expression Analysis Dimensionality Reduction Computational Biology
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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 Principal Component Analysis Humans Electroencephalography Databases, Factual Epilepsy Neural Networks, Computer Support Vector Machine Algorithms
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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...
Dimensionality Reduction Machine Learning Algorithms Humans Neural Networks, Computer
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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...
Machine Learning Algorithms Dimensionality Reduction Unsupervised Machine Learning Humans Neural Networks, Computer
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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 Humans Brain-Computer Interfaces Brain Electroencephalography Dimensionality Reduction Machine Learning Adult Neural Networks, Computer Signal Processing, Computer-Assisted 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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Mental Models of Smart Implant Technology: A Topic Modeling Approach to the Role of Initial Information and Labeling.

Health communication Jan 8, 2025
Public understanding of medical innovations such as smart technology is decisive for its acceptance and implementation. Thus, it is important to understand what visions people develop of a technology based on initial information such as the label. We...
Qualitative Research Artificial Intelligence Attitude to Computers Humans Female Male Interviews as Topic Aged, 80 and over Attitude to Health Prostheses and Implants Dental Implants Aged Middle Aged Adult Dimensionality Reduction Cochlear Implants
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