AIMC Topic: Supervised Machine Learning

Clear Filters Showing 191 to 200 of 1729 articles

Fine-Grained Fidgety Movement Classification Using Active Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
Typically developing infants, between the corrected age of 9-20 weeks, produce fidgety movements. These movements can be identified with the General Movement Assessment, but their identification requires trained professionals to conduct the assessmen...
Movement Video Recording Problem-Based Learning Infant, Newborn Male Image Processing, Computer-Assisted Supervised Machine Learning Humans Infant Algorithms Female
View on PubMed DOI

Self-Supervised Contrastive Learning on Attribute and Topology Graphs for Predicting Relationships Among lncRNAs, miRNAs and Diseases.

IEEE journal of biomedical and health informatics Jan 7, 2025
Exploring associations between long non-coding RNAs (lncRNAs), microRNAs (miRNAs) and diseases is crucial for disease prevention, diagnosis and treatment. While determining these relationships experimentally is resource-intensive and time-consuming, ...
Disease Algorithms Computational Biology RNA, Long Noncoding Supervised Machine Learning MicroRNAs Humans
View on PubMed DOI

Melanoma Breslow Thickness Classification Using Ensemble-Based Knowledge Distillation With Semi-Supervised Convolutional Neural Networks.

IEEE journal of biomedical and health informatics Jan 7, 2025
Melanoma is considered a global public health challenge and is responsible for more than 90% deaths related to skin cancer. Although the diagnosis of early melanoma is the main goal of dermoscopy, the discrimination between dermoscopic images of in s...
Neural Networks, Computer Databases, Factual Melanoma Humans Deep Learning Convolutional Neural Networks Supervised Machine Learning Skin Neoplasms Dermoscopy Image Interpretation, Computer-Assisted
View on PubMed DOI

SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Semisupervised human activity recognition (SemiHAR) has attracted attention in recent years from various domains, such as digital health and ambient intelligence. Currently, it still faces two challenges. For one thing, discriminative features may ex...
Human Activities Algorithms Supervised Machine Learning Markov Chains Databases, Factual Humans Neural Networks, Computer Pattern Recognition, Automated Machine Learning
View on PubMed DOI

Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images.

IEEE transactions on neural networks and learning systems Jan 7, 2025
Introducing deep learning technologies into the medical image processing field requires accuracy guarantee, especially for high-resolution images relayed through endoscopes. Moreover, works relying on supervised learning are powerless in the case of ...
Neural Networks, Computer Algorithms Colonoscopy Humans Supervised Machine Learning Ensemble Learning Laryngoscopy Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation.

Medical image analysis Jan 6, 2025
Despite that supervised learning has demonstrated impressive accuracy in medical image segmentation, its reliance on large labeled datasets poses a challenge due to the effort and expertise required for data acquisition. Semi-supervised learning has ...
Humans Image Processing, Computer-Assisted Algorithms Supervised Machine Learning Image Interpretation, Computer-Assisted
View on PubMed DOI

Breast cancer classification based on breast tissue structures using the Jigsaw puzzle task in self-supervised learning.

Radiological physics and technology Jan 6, 2025
Self-supervised learning (SSL) has gained attention in the medical field as a deep learning approach utilizing unlabeled data. The Jigsaw puzzle task in SSL enables models to learn both features of images and the positional relationships within image...
Breast Supervised Machine Learning Image Processing, Computer-Assisted Mammography Female Humans Breast Neoplasms Deep Learning
View on PubMed DOI

MSRMMP: Multi-scale residual module and multi-layer pseudo-supervision for weakly supervised segmentation of histopathological images.

Medical engineering & physics Jan 6, 2025
Accurate semantic segmentation of histopathological images plays a crucial role in accurate cancer diagnosis. While fully supervised learning models have shown outstanding performance in this field, the annotation cost is extremely high. Weakly Super...
Image Processing, Computer-Assisted Humans Algorithms Supervised Machine Learning
View on PubMed DOI

Semisupervised Contrastive Learning for Bioactivity Prediction Using Cell Painting Image Data.

Journal of chemical information and modeling Jan 6, 2025
Morphological profiling has recently demonstrated remarkable potential for identifying the biological activities of small molecules. Alongside the fully supervised and self-supervised machine learning methods recently proposed for bioactivity predict...
Drug Discovery Image Processing, Computer-Assisted Drug Repositioning Humans Machine Learning Supervised Machine Learning
View on PubMed DOI

Exploring spatio-temporal heterogeneity of rural settlement patterns on carbon emission across more than 2800 Chinese counties using multiple supervised machine learning models.

Journal of environmental management Jan 4, 2025
China, the world's largest carbon emitter, plays a pivotal role in achieving carbon neutrality. This study systematically analyzes the impact of landscape indices on carbon emissions from rural settlements across more than 2800 counties using eight s...
Machine Learning China Environmental Monitoring East Asian People Rural Population Supervised Machine Learning Carbon
View on PubMed DOI
Popular Topics
Recent Journals