AIMC Topic: Unsupervised Machine Learning

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Development of a Novel Classification Approach for Cow Behavior Analysis Using Tracking Data and Unsupervised Machine Learning Techniques.

Sensors (Basel, Switzerland) Jun 22, 2024
Global Positioning Systems (GPSs) can collect tracking data to remotely monitor livestock well-being and pasture use. Supervised machine learning requires behavioral observations of monitored animals to identify changes in behavior, which is labor-in...
Unsupervised Machine Learning Animals Behavior, Animal Geographic Information Systems Cattle Algorithms Female
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Deep learning based decoding of single local field potential events.

NeuroImage Jun 21, 2024
How is information processed in the cerebral cortex? In most cases, recorded brain activity is averaged over many (stimulus) repetitions, which erases the fine-structure of the neural signal. However, the brain is obviously a single-trial processor. ...
Cerebral Cortex Rats Female Unsupervised Machine Learning Humans Adult Male Electroencephalography Animals Deep Learning
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Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation.

Computers in biology and medicine Jun 21, 2024
This paper explores the connections between traditional Large Deformation Diffeomorphic Metric Mapping methods and unsupervised deep-learning approaches for non-rigid registration, particularly emphasizing diffeomorphic registration. The study provid...
Humans Brain Deep Learning Algorithms Unsupervised Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Improvement of gram staining effect by ethanol pretreatment and quantization of staining image by unsupervised machine learning.

Archives of microbiology Jun 21, 2024
In this study, we propose an Ethanol Pretreatment Gram staining method that significantly enhances the color contrast of the stain, thereby improving the accuracy of judgement, and demonstrated the effectiveness of the modification by eliminating una...
Bacteria Ethanol Phenazines Gentian Violet Unsupervised Machine Learning Image Processing, Computer-Assisted Staining and Labeling
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Clothing-invariant contrastive learning for unsupervised person re-identification.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
Clothing change person re-identification (CC-ReID) aims to match images of the same person wearing different clothes across diverse scenes. Leveraging biological features or clothing labels, existing CC-ReID methods have demonstrated promising perfor...
Neural Networks, Computer Unsupervised Machine Learning Clothing Image Processing, Computer-Assisted Algorithms Humans Semantics Biometric Identification Cluster Analysis
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Unsupervised Learning-Based Measurement of Ultrasonic Axial Transmission Velocity in Neonatal Bone.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jun 14, 2024
OBJECTIVES: To develop a robust algorithm for estimating ultrasonic axial transmission velocity from neonatal tibial bone, and to investigate the relationships between ultrasound velocity and neonatal anthropometric measurements as well as clinical b...
Humans Algorithms Reproducibility of Results Male Ultrasonography Female Infant, Newborn Phantoms, Imaging Unsupervised Machine Learning Tibia
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Incremental Confidence Sampling with Optimal Transport for Domain Adaptation.

International journal of neural systems Jun 13, 2024
Domain adaptation is a subfield of statistical learning theory that takes into account the shift between the distribution of training and test data, typically known as source and target domains, respectively. In this context, this paper presents an i...
Discriminant Analysis Algorithms Unsupervised Machine Learning Humans
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Image-domain material decomposition for dual-energy CT using unsupervised learning with data-fidelity loss.

Medical physics Jun 12, 2024
BACKGROUND: Dual-energy computed tomography (DECT) and material decomposition play vital roles in quantitative medical imaging. However, the decomposition process may suffer from significant noise amplification, leading to severely degraded image sig...
Deep Learning Image Processing, Computer-Assisted Signal-To-Noise Ratio Unsupervised Machine Learning Humans Tomography, X-Ray Computed
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Establishing central sensitization inventory cut-off values in Dutch-speaking patients with chronic low back pain by unsupervised machine learning.

Computers in biology and medicine Jun 10, 2024
BACKGROUND: Human Assumed Central Sensitization (HACS) is involved in the development and maintenance of chronic low back pain (CLBP). The Central Sensitization Inventory (CSI) was developed to evaluate the presence of HACS, with a cut-off value of 4...
Central Nervous System Sensitization Low Back Pain Chronic Pain Middle Aged Surveys and Questionnaires Unsupervised Machine Learning Netherlands Aged Humans Adult Cluster Analysis Female Male
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Unsupervised stain augmentation enhanced glomerular instance segmentation on pathology images.

International journal of computer assisted radiology and surgery Jun 7, 2024
PURPOSE: In pathology images, different stains highlight different glomerular structures, so a supervised deep learning-based glomerular instance segmentation model trained on individual stains performs poorly on other stains. However, it is difficul...
Humans Deep Learning Kidney Glomerulus Coloring Agents Image Interpretation, Computer-Assisted Staining and Labeling Unsupervised Machine Learning Image Processing, Computer-Assisted
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