AIMC Topic: Semantics

Clear Filters Showing 171 to 180 of 1420 articles

Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning.

Neural networks : the official journal of the International Neural Network Society Jul 30, 2024
Unsupervised domain adaptation (UDA) is a weakly supervised learning technique that classifies images in the target domain when the source domain has labeled samples, and the target domain has unlabeled samples. Due to the complexity of imaging condi...
Humans Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Unsupervised Machine Learning Semantics
View on PubMed DOI

A multibranch and multiscale neural network based on semantic perception for multimodal medical image fusion.

Scientific reports Jul 30, 2024
Medical imaging is indispensable for accurate diagnosis and effective treatment, with modalities like MRI and CT providing diverse yet complementary information. Traditional image fusion methods, while essential in consolidating information from mult...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Tomography, X-Ray Computed Multimodal Imaging Semantics
View on PubMed DOI

Semantic-enhanced graph neural network for named entity recognition in ancient Chinese books.

Scientific reports Jul 30, 2024
Named entity recognition (NER) plays a crucial role in the extraction and utilization of knowledge of ancient Chinese books. However, the challenges of ancient Chinese NER not only originate from linguistic features such as the use of single characte...
Deep Learning China Humans Books Semantics Neural Networks, Computer
View on PubMed DOI

Natural language processing in at-risk mental states: enhancing the assessment of thought disorders and psychotic traits with semantic dynamics and graph theory.

Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) Jul 29, 2024
OBJECTIVE: Verbal communication contains key information for mental health assessment. Researchers have linked psychopathology phenomena to certain counterparts in natural language processing. We characterized subtle impairments in the early stages o...
Psychotic Disorders Young Adult Male Semantics Brazil Humans Adult Adolescent Case-Control Studies Female Natural Language Processing Psychiatric Status Rating Scales
View on PubMed DOI

Textual emotion classification using MPNet and cascading broad learning.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
As one of the most important tasks of natural language processing, textual emotion classification (TEC) aims to recognize and detect all emotions contained in texts. However, most existing methods are implemented using deep learning approaches, which...
Deep Learning Humans Semantics Natural Language Processing Emotions Neural Networks, Computer
View on PubMed DOI

An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
Entity alignment is a crucial task in knowledge graphs, aiming to match corresponding entities from different knowledge graphs. Due to the scarcity of pre-aligned entities in real-world scenarios, research focused on unsupervised entity alignment has...
Attention Semantics Humans Neural Networks, Computer Algorithms Unsupervised Machine Learning
View on PubMed DOI

Flexibility in conceptual combinations: A neural network model of gradable adjective modification.

PloS one Jul 26, 2024
Our ability to combine simple constituents into more complex conceptual combinations is a fundamental aspect of cognition. Gradable adjectives (e.g., 'tall' and 'light') are a critical example of this process, as their meanings vary depending on the ...
Humans Neural Networks, Computer Learning Cognition Semantics
View on PubMed DOI

Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data.

BMC psychiatry Jul 24, 2024
BACKGROUND: Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the heterogeneity in how variables are measured across studies poses a challenge to th...
Mental Health Male Female Adult Humans Middle Aged Natural Language Processing United Kingdom Surveys and Questionnaires Semantics
View on PubMed DOI

Multi-view heterogeneous graph learning with compressed hypergraph neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
Multi-view learning is an emerging field of multi-modal fusion, which involves representing a single instance using multiple heterogeneous features to improve compatibility prediction. However, existing graph-based multi-view learning approaches are ...
Semantics Machine Learning Algorithms Humans Neural Networks, Computer
View on PubMed DOI

Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
In unsupervised scenarios, deep contrastive multi-view clustering (DCMVC) is becoming a hot research spot, which aims to mine the potential relationships between different views. Most existing DCMVC algorithms focus on exploring the consistency infor...
Cluster Analysis Semantics Neural Networks, Computer Algorithms Humans
View on PubMed DOI
Popular Topics
Recent Journals