AIMC Topic: Semantics

Clear Filters Showing 61 to 70 of 1420 articles

Adversarial perturbation and defense for generalizable person re-identification.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
In the Domain Generalizable Person Re-Identification (DG Re-ID) task, the quality of identity-relevant descriptor is crucial for domain generalization performance. However, for hard-matching samples, it is difficult to separate high-quality identity-...
Deep Learning Convolutional Neural Networks Semantics Detection Algorithms Biometric Identification Software Validation
View on PubMed DOI

Open-world semi-supervised relation extraction.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2025
Semi-supervised Relation Extraction methods play an important role in extracting relationships from unstructured text, which can leverage both labeled and unlabeled data to improve extraction accuracy. However, these methods are grounded under the cl...
Data Mining Semantics Natural Language Processing Supervised Machine Learning Humans Neural Networks, Computer
View on PubMed DOI

A simple clustering approach to map the human brain's cortical semantic network organization during task.

NeuroImage Feb 18, 2025
Constructing task-state large-scale brain networks can enhance our understanding of the organization of brain functions during cognitive tasks. The primary goal of brain network partitioning is to cluster functionally homogeneous brain regions. Howev...
Semantics Cerebral Cortex Cluster Analysis Brain Mapping Adult Female Nerve Net Cognition Young Adult Humans Male Magnetic Resonance Imaging Brain
View on PubMed DOI

ZS-MNET: A zero-shot learning based approach to multimodal named entity typing.

Neural networks : the official journal of the International Neural Network Society Feb 17, 2025
The task of named entity typing (NET) on social platforms is significant as it involves identifying the various types of named entities within unstructured text. The existing methods for NET only utilize the text modality to classify the types of nam...
Neural Networks, Computer Machine Learning Humans Semantics
View on PubMed DOI

Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer.

Scientific reports Feb 17, 2025
Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating higher stress. It measures the variation in the time between heartbeats and offers insights into health. Artificial intelligence (AI) research aims to u...
Artificial Intelligence Machine Learning Humans Male Stress, Psychological Heart Rate Algorithms Female Semantics Genetic Algorithms
View on PubMed DOI

A text-speech multimodal Chinese named entity recognition model for crop diseases and pests.

Scientific reports Feb 13, 2025
Named Entity Recognition for crop diseases and pests (NER-CDP) is significant in agricultural information extraction and offers vital data support for subsequent knowledge services and retrieval. However, existing NER-CDP methods rely heavily on plai...
Crops, Agricultural Plant Diseases China Natural Language Processing Humans Semantics Algorithms
View on PubMed DOI

Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2025
Scientific entity relation extraction intends to promote the performance of each subtask through exploring the contextual representations with rich scientific semantics. However, most of existing models encounter the dilemma of scientific semantic di...
Deep Learning Semantics Humans Neural Networks, Computer
View on PubMed DOI

EDSRNet: An Enhanced Decoder Semantic Recovery Network for 2D Medical Image Segmentation.

IEEE journal of biomedical and health informatics Feb 10, 2025
In recent years, with the advancement of medical imaging technology, medical image segmentation has played a key role in assisting diagnosis and treatment planning. Current deep learning-based medical image segmentation methods mainly adopt encoder-d...
Semantics Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Brain Deep Learning Algorithms Databases, Factual Humans
View on PubMed DOI

SH: Long-tailed classification via spatial constraint sampling, scalable network, and hybrid task.

Neural networks : the official journal of the International Neural Network Society Feb 8, 2025
Long-tailed classification is a significant yet challenging vision task that aims to making the clearest decision boundaries via integrating semantic consistency and texture characteristics. Unlike prior methods, we design spatial constraint sampling...
Neural Networks, Computer Algorithms Semantics Humans
View on PubMed DOI

Improved U-Net based on ResNet and SE-Net with dual attention mechanism for glottis semantic segmentation.

Medical engineering & physics Feb 6, 2025
In previous tasks of glottis image segmentation, the position attention mechanism was rarely incorporated, neglecting the detailed information in glottis position detection. Aiming to improve the U-Net architecture, this study introduces the dual att...
Glottis Humans Neural Networks, Computer Image Processing, Computer-Assisted Semantics
View on PubMed DOI
Popular Topics
Recent Journals