AIMC Topic: Semantics

Clear Filters Showing 151 to 160 of 1420 articles

Modeling High-Order Relationships: Brain-Inspired Hypergraph-Induced Multimodal-Multitask Framework for Semantic Comprehension.

IEEE transactions on neural networks and learning systems Sep 3, 2024
Semantic comprehension aims to reasonably reproduce people's real intentions or thoughts, e.g., sentiment, humor, sarcasm, motivation, and offensiveness, from multiple modalities. It can be instantiated as a multimodal-oriented multitask classificati...
Neural Networks, Computer Algorithms Humans Semantics Comprehension Brain Cognition
View on PubMed DOI

Cross-domain zero-shot learning for enhanced fault diagnosis in high-voltage circuit breakers.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Ensuring the stability of high-voltage circuit breakers (HVCBs) is crucial for maintaining an uninterrupted supply of electricity. Existing fault diagnosis methods typically rely on extensive labeled datasets, which are challenging to obtain due to t...
Electricity Neural Networks, Computer Vibration Equipment Failure Machine Learning Semantics Algorithms
View on PubMed DOI

DualAttlog: Context aware dual attention networks for log-based anomaly detection.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Most existing log-driven anomaly detection methods assume that logs are static and unchanged, which is often impractical. To address this, we propose a log anomaly detection model called DualAttlog. This model includes word-level and sequence-level s...
Algorithms Natural Language Processing Humans Attention Neural Networks, Computer Semantics
View on PubMed DOI

Deep dual incomplete multi-view multi-label classification via label semantic-guided contrastive learning.

Neural networks : the official journal of the International Neural Network Society Aug 30, 2024
Multi-view multi-label learning (MVML) aims to train a model that can explore the multi-view information of the input sample to obtain its accurate predictions of multiple labels. Unfortunately, a majority of existing MVML methods are based on the as...
Semantics Algorithms Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

Recognition of Chinese Electronic Medical Records for Rehabilitation Robots: Information Fusion Classification Strategy.

Sensors (Basel, Switzerland) Aug 30, 2024
Named entity recognition is a critical task in the electronic medical record management system for rehabilitation robots. Handwritten documents often contain spelling errors and illegible handwriting, and healthcare professionals frequently use diffe...
Rehabilitation Robotics Semantics Algorithms Electronic Health Records China
View on PubMed DOI

An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.

Journal of biomedical semantics Aug 30, 2024
Automatic disease progression prediction models require large amounts of training data, which are seldom available, especially when it comes to rare diseases. A possible solution is to integrate data from different medical centres. Nevertheless, vari...
Biological Ontologies Retrospective Studies Amyotrophic Lateral Sclerosis Multiple Sclerosis Semantics Humans
View on PubMed DOI

Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 29, 2024
This study presents an innovative hybrid deep learning (DL) framework that reformulates the sagittal MRI-based anterior cruciate ligament (ACL) tear classification task as a novelty detection problem to tackle class imbalance. We introduce a highly d...
Semantics Greece Humans Anterior Cruciate Ligament Injuries Deep Learning Uncertainty Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
View on PubMed DOI

SSGU-CD: A combined semantic and structural information graph U-shaped network for document-level Chemical-Disease interaction extraction.

Journal of biomedical informatics Aug 29, 2024
Document-level interaction extraction for Chemical-Disease is aimed at inferring the interaction relations between chemical entities and disease entities across multiple sentences. Compared with sentence-level relation extraction, document-level rela...
Algorithms Natural Language Processing Humans Disease Data Mining Semantics
View on PubMed DOI

Integration of multi-level semantics in PTMs with an attention model for question matching.

PloS one Aug 29, 2024
The task of question matching/retrieval focuses on determining whether two questions are semantically equivalent. It has garnered significant attention in the field of natural language processing (NLP) due to its commercial value. While neural networ...
Semantics Natural Language Processing Humans Attention Neural Networks, Computer
View on PubMed DOI

Interactive dual-stream contrastive learning for radiology report generation.

Journal of biomedical informatics Aug 28, 2024
Radiology report generation automates diagnostic narrative synthesis from medical imaging data. Current report generation methods primarily employ knowledge graphs for image enhancement, neglecting the interpretability and guiding function of the kno...
Radiology Semantics Natural Language Processing Diagnostic Imaging Radiology Information Systems Humans Machine Learning Algorithms
View on PubMed DOI
Popular Topics
Recent Journals