AIMC Topic: Semantics

Clear Filters Showing 351 to 360 of 1420 articles

Text Sentiment Analysis Based on a New Hybrid Network Model.

Computational intelligence and neuroscience Dec 28, 2022
The research of text sentiment analysis based on deep learning is increasingly rich, but the current models still have different degrees of deviation in understanding of semantic information. In order to reduce the loss of semantic information and im...
Semantics Sentiment Analysis
View on PubMed DOI

Improving fine-tuning of self-supervised models with Contrastive Initialization.

Neural networks : the official journal of the International Neural Network Society Dec 23, 2022
Self-supervised learning (SSL) has achieved remarkable performance in pre-training the models that can be further used in downstream tasks via fine-tuning. However, these self-supervised models may not capture meaningful semantic information since th...
Supervised Machine Learning Semantics
View on PubMed DOI

Klarigi: Characteristic explanations for semantic biomedical data.

Computers in biology and medicine Dec 22, 2022
Annotation of biomedical entities with ontology classes provides for formal semantic analysis and mobilisation of background knowledge in determining their relationships. To date, enrichment analysis has been routinely employed to identify classes th...
Databases, Factual Algorithms Biological Ontologies Semantics Phenotype
View on PubMed DOI

Querying semantic catalogues of biomedical databases.

Journal of biomedical informatics Dec 20, 2022
BACKGROUND: Secondary use of health data is a valuable source of knowledge that boosts observational studies, leading to important discoveries in the medical and biomedical sciences. The fundamental guiding principle for performing a successful obser...
Language Natural Language Processing Semantics Software Databases, Factual
View on PubMed DOI

Multi-Task Learning Model for Kazakh Query Understanding.

Sensors (Basel, Switzerland) Dec 14, 2022
Query understanding (QU) plays a vital role in natural language processing, particularly in regard to question answering and dialogue systems. QU finds the named entity and query intent in users' questions. Traditional pipeline approaches manage the ...
Semantics Language Learning Natural Language Processing Machine Learning
View on PubMed DOI

Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data.

Sensors (Basel, Switzerland) Dec 13, 2022
In today's world, mental health diseases have become highly prevalent, and depression is one of the mental health problems that has become widespread. According to WHO reports, depression is the second-leading cause of the global burden of diseases. ...
Mental Health Male Depression Social Media Deep Learning Mental Disorders Female Humans Semantics
View on PubMed DOI

Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray.

IEEE journal of biomedical and health informatics Dec 7, 2022
Chest X-ray (CXR) is commonly performed as an initial investigation in COVID-19, whose fast and accurate diagnosis is critical. Recently, deep learning has a great potential in detecting people who are suspected to be infected with COVID-19. However,...
Reproducibility of Results SARS-CoV-2 Neural Networks, Computer COVID-19 Semantics Radiography, Thoracic X-Rays Deep Learning COVID-19 Testing Humans
View on PubMed DOI

Machine understanding surgical actions from intervention procedure textbooks.

Computers in biology and medicine Dec 6, 2022
The automatic extraction of procedural surgical knowledge from surgery manuals, academic papers or other high-quality textual resources, is of the utmost importance to develop knowledge-based clinical decision support systems, to automatically execut...
Information Storage and Retrieval Semantics Language Humans Natural Language Processing
View on PubMed DOI

Deep learning architecture with transformer and semantic field alignment for voxel-level dose prediction on brain tumors.

Medical physics Dec 5, 2022
PURPOSE: The use of convolution neural networks (CNN) to accurately predict dose distributions can accelerate intensity-modulated radiation therapy (IMRT) planning. The purpose of our study is to develop a novel deep learning architecture for precise...
Humans Radiotherapy Planning, Computer-Assisted Semantics Radiotherapy, Intensity-Modulated Deep Learning Radiotherapy Dosage Organs at Risk Retrospective Studies Brain Neoplasms
View on PubMed DOI

Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics.

Journal of neurosurgery Dec 2, 2022
OBJECTIVE: The aim of this study was to build a convolutional neural network (CNN)-based prediction model of glioblastoma (GBM) molecular subtype diagnosis and prognosis with multimodal features.
DNA Modification Methylases DNA Repair Enzymes Glioblastoma Mutation Isocitrate Dehydrogenase X-linked Nuclear Protein Tumor Suppressor Proteins Semantics Brain Neoplasms Male Deep Learning Magnetic Resonance Imaging Adult Middle Aged Radiomics Neural Networks, Computer Female Prognosis Aged Humans
View on PubMed DOI
Popular Topics
Recent Journals