AIMC Topic: Semantics

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Toward a Universal Map of EEG: A Semantic, Low-Dimensional Manifold for EEG Classification, Clustering, and Prognostication.

Annals of neurology Aug 1, 2025
OBJECTIVE: Prognostication in patients with disorders of consciousness (DOCs) remains challenging because of heterogeneous etiologies, pathophysiologies and, consequently, highly variable electroencephalograms (EEGs). Here, we use EEG patterns that a...
Prognosis Female Humans Male Middle Aged Cluster Analysis Aged Adult Heart Arrest Consciousness Disorders Electroencephalography Semantics
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Entity replacement strategy for temporal knowledge graph query relaxation.

Neural networks : the official journal of the International Neural Network Society Aug 1, 2025
The temporal knowledge graph (TKG) query enables the retrieval of candidate answer lists by addressing questions that involve temporal constraints, regarded as a crucial downstream task in the realm of the temporal knowledge graph. Existing methods p...
Time Factors Information Storage and Retrieval Semantics Neural Networks, Computer Algorithms Humans
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Could vehicles analyze driving risks using human fuzzy semantic logic? A data-knowledge-driven new perspective.

Accident; analysis and prevention Aug 1, 2025
Accurate risk identification is crucial for ensuring the safe operation of Host vehicles (HoVs) in environments shared with Neighboring vehicles (NeVs). Traditional risk identification mechanisms typically rely on large amounts of precise numerical d...
Humans Automobile Driving Semantics Automobiles Accidents, Traffic Risk Assessment Fuzzy Logic
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LitSense 2.0: AI-powered biomedical information retrieval with sentence and passage level knowledge discovery.

Nucleic acids research Jul 7, 2025
LitSense 2.0 (https://www.ncbi.nlm.nih.gov/research/litsense2/) is an advanced biomedical search system enhanced with dense vector semantic retrieval, designed for accessing literature on sentence and paragraph levels. It provides unified access to 3...
Artificial Intelligence Software Humans Information Storage and Retrieval PubMed Semantics Data Mining Knowledge Discovery
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CAS: enhancing implicit constrained data augmentation with semantic enrichment for biomedical relation extraction and beyond.

Database : the journal of biological databases and curation Jul 3, 2025
Biomedical relation extraction often involves datasets with implicit constraints, where structural, syntactic, or semantic rules must be strictly preserved to maintain data integrity. Traditional data augmentation techniques struggle in these scenari...
Semantics Natural Language Processing Data Mining Humans Databases, Factual
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A medical information extraction model with contrastive tuning and tagging layer training.

Computers in biology and medicine Jul 1, 2025
Medical information extraction, as a core task in medical intelligent systems, focuses on extracting necessary structured information from clinical texts. In recent years, deep learning-based methods have become mainstream and often achieve superior ...
Semantics Natural Language Processing Humans Data Mining Deep Learning
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Weakly-supervised semantic segmentation in histology images using contrastive learning and self-training.

Computers in biology and medicine Jul 1, 2025
This paper presents a novel method for weakly-supervised semantic segmentation (WSSS) of histology images, where only global image-level labels are employed. We leverage an existing weakly-supervised object localization (WSOL) method to generate clas...
Supervised Machine Learning Semantics Image Processing, Computer-Assisted Humans Colonic Neoplasms Algorithms Databases, Factual
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MSPDD-net: Mamba semantic perception dual decoding network for retinal image vessel segmentation.

Computers in biology and medicine Jul 1, 2025
In the Retinal Image Vessel (RIV) segmentation task, due to existing a large number of low-contrast capillaries in the image usually leads to the problem of poor segmentation accuracy. To address this issue, this study aims to fully model the global ...
Retinal Vessels Image Processing, Computer-Assisted Semantics Humans Neural Networks, Computer
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Biomedical text normalization through generative modeling.

Journal of biomedical informatics Jul 1, 2025
OBJECTIVE: A large proportion of electronic health record (EHR) data consists of unstructured medical language text. The formatting of this text is often flexible and inconsistent, making it challenging to use for predictive modeling, clinical decisi...
Systematized Nomenclature of Medicine Natural Language Processing Data Mining Medical Informatics Semantics Humans Electronic Health Records
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BERTAgent: The development of a novel tool to quantify agency in textual data.

Journal of experimental psychology. General Jul 1, 2025
Pertaining to goal orientation and achievement, agency is a fundamental aspect of human cognition and behavior. Accordingly, detecting and quantifying linguistic encoding of agency are critical for the analysis of human actions, interactions, and soc...
Semantics Psycholinguistics Deep Learning Natural Language Processing Humans
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