AIMC Topic: Unsupervised Machine Learning

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Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface.

Journal of neural engineering Jan 29, 2025
Creating an intracortical brain computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to computing a global iBCI de...
Electromyography Brain-Computer Interfaces Motor Cortex Muscle, Skeletal Unsupervised Machine Learning Macaca mulatta Animals Male Algorithms
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Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning.

BMC medical informatics and decision making Jan 28, 2025
INTRODUCTION: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).
Algorithms Electronic Health Records Cluster Analysis Unsupervised Machine Learning Child Humans Natural Language Processing
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An unsupervised learning approach for clustering joint trajectories of Alzheimer's disease biomarkers: An application to ADNI Data.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 27, 2025
INTRODUCTION: Current models of Alzheimer's disease (AD) progression assume a common pattern and pathology, oversimplifying the heterogeneity of clinical AD.
Aged Male Cluster Analysis Biomarkers Disease Progression Brain Unsupervised Machine Learning Female Humans Neuroimaging Amyloid beta-Peptides Alzheimer Disease
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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach.

Scientific reports Jan 25, 2025
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and a...
Supervised Machine Learning Colonic Polyps Cluster Analysis Unsupervised Machine Learning Neural Networks, Computer Algorithms Colonoscopy Support Vector Machine Colorectal Neoplasms Humans
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Detecting noncredible symptomology in ADHD evaluations using machine learning.

Journal of clinical and experimental neuropsychology Jan 25, 2025
INTRODUCTION: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process re...
Attention Deficit Disorder with Hyperactivity Malingering Unsupervised Machine Learning Self Report Adult Male Surveys and Questionnaires Adolescent Middle Aged Female Young Adult Humans Machine Learning
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Generative adversarial local density-based unsupervised anomaly detection.

PloS one Jan 24, 2025
Anomaly detection is crucial in areas such as financial fraud identification, cybersecurity defense, and health monitoring, as it directly affects the accuracy and security of decision-making. Existing generative adversarial nets (GANs)-based anomaly...
Unsupervised Machine Learning Computer Security Humans Neural Networks, Computer Algorithms
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SAC-BL: A hypothesis testing framework for unsupervised visual anomaly detection and location.

Neural networks : the official journal of the International Neural Network Society Jan 22, 2025
Reconstruction-based methods achieve promising performance for visual anomaly detection (AD), relying on the underlying assumption that the anomalies cannot be accurately reconstructed. However, this assumption does not always hold, especially when s...
Humans Unsupervised Machine Learning Neural Networks, Computer Algorithms
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EHM: Exploring dynamic alignment and hierarchical clustering in unsupervised domain adaptation via high-order moment-guided contrastive learning.

Neural networks : the official journal of the International Neural Network Society Jan 22, 2025
Unsupervised domain adaptation (UDA) aims to annotate unlabeled target domain samples using transferable knowledge learned from the labeled source domain. Optimal transport (OT) is a widely adopted probability metric in transfer learning for quantify...
Humans Neural Networks, Computer Unsupervised Machine Learning Algorithms Cluster Analysis
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Real-Time Unsupervised Learning and Image Recognition via Memristive Neural Integrated Chip Based on Negative Differential Resistance of Electrochemical Metallization Cell Neuron Device.

Small (Weinheim an der Bergstrasse, Germany) Jan 21, 2025
Spiking neurons are essential for building energy-efficient biomimetic spatiotemporal systems because they communicate with other neurons using sparse and binary signals. However, the achievable high density of artificial neurons having a capacitor f...
Neural Networks, Computer Humans Unsupervised Machine Learning Neurons
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Enhancing lesion detection in automated breast ultrasound using unsupervised multi-view contrastive learning with 3D DETR.

Medical image analysis Jan 18, 2025
The inherent variability of lesions poses challenges in leveraging AI in 3D automated breast ultrasound (ABUS) for lesion detection. Traditional methods based on single scans have fallen short compared to comprehensive evaluations by experienced sono...
Ultrasonography, Mammary Image Interpretation, Computer-Assisted Humans Algorithms Female Imaging, Three-Dimensional Unsupervised Machine Learning Breast Neoplasms
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