AIMC Topic: Supervised Machine Learning

Clear Filters Showing 81 to 90 of 1663 articles

Self-supervision advances morphological profiling by unlocking powerful image representations.

Scientific reports Feb 10, 2025
Cell Painting is an image-based assay that offers valuable insights into drug mechanisms of action and off-target effects. However, traditional feature extraction tools such as CellProfiler are computationally intensive and require frequent parameter...
Image Processing, Computer-Assisted Humans Supervised Machine Learning Algorithms
View on PubMed DOI

A Multimodal Consistency-Based Self-Supervised Contrastive Learning Framework for Automated Sleep Staging in Patients With Disorders of Consciousness.

IEEE journal of biomedical and health informatics Feb 10, 2025
Sleep is a fundamental human activity, and automated sleep staging holds considerable investigational potential. Despite numerous deep learning methods proposed for sleep staging that exhibit notable performance, several challenges remain unresolved,...
Adult Male Deep Learning Electroencephalography Signal Processing, Computer-Assisted Humans Female Sleep Stages Supervised Machine Learning Consciousness Disorders Electrooculography
View on PubMed DOI

ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning.

IEEE journal of biomedical and health informatics Feb 10, 2025
Prognostic assessment remains a critical challenge in medical research, often limited by the lack of well-labeled data. In this work, we introduce ContraSurv, a weakly-supervised learning framework based on contrastive learning, designed to enhance p...
Databases, Factual Humans Prognosis Neoplasms Imaging, Three-Dimensional Supervised Machine Learning Image Interpretation, Computer-Assisted
View on PubMed DOI

Joint Energy-Based Model for Semi-Supervised Respiratory Sound Classification: A Method of Insensitive to Distribution Mismatch.

IEEE journal of biomedical and health informatics Feb 10, 2025
Semi-supervised learning effectively mitigates the lack of labeled data by introducing extensive unlabeled data. Despite achieving success in respiratory sound classification, in practice, it usually takes years to acquire a sufficiently sizeable unl...
Supervised Machine Learning Respiratory Sounds Algorithms SARS-CoV-2 Signal Processing, Computer-Assisted Humans COVID-19
View on PubMed DOI

Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning.

Journal of clinical monitoring and computing Feb 7, 2025
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging evidence that optimization of rSO may improve neurological and non-neurological outcomes. To manipulate rSO an understanding of the variables that drive its...
Brain Female Reproducibility of Results Humans Machine Learning Algorithms Oxygen Saturation Cerebrovascular Circulation Oximetry Supervised Machine Learning Hemodynamics Carbon Dioxide Monitoring, Intraoperative ROC Curve Male Oxygen Aged Middle Aged Signal Processing, Computer-Assisted Adult Spectroscopy, Near-Infrared
View on PubMed DOI

Generative and contrastive graph representation learning with message passing.

Neural networks : the official journal of the International Neural Network Society Feb 6, 2025
Self-supervised graph representation learning (SSGRL) has emerged as a promising approach for graph embeddings because it does not rely on manual labels. SSGRL methods are generally divided into generative and contrastive approaches. Generative metho...
Supervised Machine Learning Autoencoder Generative Artificial Intelligence Datasets as Topic Graph Neural Networks
View on PubMed DOI

QMaxViT-Unet+: A query-based MaxViT-Unet with edge enhancement for scribble-supervised segmentation of medical images.

Computers in biology and medicine Feb 6, 2025
The deployment of advanced deep learning models for medical image segmentation is often constrained by the requirement for extensively annotated datasets. Weakly-supervised learning, which allows less precise labels, has become a promising solution t...
Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Algorithms Databases, Factual Supervised Machine Learning Humans
View on PubMed DOI

Analysis of Operant Self-administration Behaviors with Supervised Machine Learning: Protocol for Video Acquisition and Pose Estimation Analysis Using DeepLabCut and Simple Behavioral Analysis.

eNeuro Feb 6, 2025
The use of supervised machine learning to approximate poses in video recordings allows for rapid and efficient analysis of complex behavioral profiles. Currently, there are limited protocols for automated analysis of operant self-administration behav...
Conditioning, Operant Rats Animals Supervised Machine Learning Male Behavior, Animal Video Recording Self Administration
View on PubMed DOI

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

IEEE transactions on neural networks and learning systems Feb 6, 2025
This article proposes a semi-supervised contrastive capsule transformer method with feature-based knowledge distillation (KD) that simplifies the existing semisupervised learning (SSL) techniques for wearable human activity recognition (HAR), called ...
Supervised Machine Learning Pattern Recognition, Automated Human Activities Wearable Electronic Devices Unsupervised Machine Learning Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Class-aware multi-level attention learning for semi-supervised breast cancer diagnosis under imbalanced label distribution.

Medical & biological engineering & computing Feb 5, 2025
Breast cancer affects a significant number of patients worldwide, and early diagnosis is critical for improving cure rates and prognosis. Deep learning-based breast cancer classification algorithms have substantially alleviated the burden on medical ...
Breast Neoplasms Deep Learning Supervised Machine Learning Humans Algorithms Female
View on PubMed DOI
Popular Topics
Recent Journals