AIMC Topic: Semantics

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Multi-scale object equalization learning network for intracerebral hemorrhage region segmentation.

Neural networks : the official journal of the International Neural Network Society Jul 4, 2024
Segmentation and the subsequent quantitative assessment of the target object in computed tomography (CT) images provide valuable information for the analysis of intracerebral hemorrhage (ICH) pathology. However, most existing methods lack a reasonabl...
Semantics Image Processing, Computer-Assisted Cerebral Hemorrhage Machine Learning Algorithms Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer
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Progressive Neighbor-masked Contrastive Learning for Fusion-style Deep Multi-view Clustering.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2024
Fusion-style Deep Multi-view Clustering (FDMC) can efficiently integrate comprehensive feature information from latent embeddings of multiple views and has drawn much attention recently. However, existing FDMC methods suffer from the interference of ...
Humans Deep Learning Cluster Analysis Semantics Neural Networks, Computer Algorithms
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CKG: Improving ABSA with text augmentation using ChatGPT and knowledge-enhanced gated attention graph convolutional networks.

PloS one Jun 27, 2024
Aspect-level sentiment analysis (ABSA) is a pivotal task within the domain of neurorobotics, contributing to the comprehension of fine-grained textual emotions. Despite the extensive research undertaken on ABSA, the limited availability of training d...
Semantics Humans Emotions Neural Networks, Computer Natural Language Processing
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Enhancing semantic segmentation in chest X-ray images through image preprocessing: ps-KDE for pixel-wise substitution by kernel density estimation.

PloS one Jun 24, 2024
BACKGROUND: In medical imaging, the integration of deep-learning-based semantic segmentation algorithms with preprocessing techniques can reduce the need for human annotation and advance disease classification. Among established preprocessing techniq...
Humans Image Processing, Computer-Assisted Algorithms Radiography, Thoracic Semantics Lung Tomography, X-Ray Computed Clavicle Deep Learning
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Clothing-invariant contrastive learning for unsupervised person re-identification.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2024
Clothing change person re-identification (CC-ReID) aims to match images of the same person wearing different clothes across diverse scenes. Leveraging biological features or clothing labels, existing CC-ReID methods have demonstrated promising perfor...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Clothing Semantics Cluster Analysis Biometric Identification Unsupervised Machine Learning
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Inductive reasoning with type-constrained encoding for emerging entities.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2024
Knowledge graph reasoning, vital for addressing incompleteness and supporting applications, faces challenges with the continuous growth of graphs. To address this challenge, several inductive reasoning models for encoding emerging entities have been ...
Semantics Knowledge Humans Algorithms Computer Simulation Neural Networks, Computer Machine Learning
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Enabling CMF estimation in data-constrained scenarios: A semantic-encoding knowledge mining model.

Accident; analysis and prevention Jun 18, 2024
Availability of more accurate Crash Modification Factors (CMFs) is crucial for evaluating the effectiveness of various road safety treatments and prioritizing infrastructure investment accordingly. While customized study for each countermeasure scena...
Accidents, Traffic Data Mining Semantics Humans Natural Language Processing
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HyGloadAttack: Hard-label black-box textual adversarial attacks via hybrid optimization.

Neural networks : the official journal of the International Neural Network Society Jun 12, 2024
Hard-label black-box textual adversarial attacks present a highly challenging task due to the discrete and non-differentiable nature of text data and the lack of direct access to the model's predictions. Research in this issue is still in its early s...
Semantics Computer Security Humans Neural Networks, Computer Algorithms Natural Language Processing
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Location-enhanced syntactic knowledge for biomedical relation extraction.

Journal of biomedical informatics Jun 12, 2024
Biomedical relation extraction has long been considered a challenging task due to the specialization and complexity of biomedical texts. Syntactic knowledge has been widely employed in existing research to enhance relation extraction, providing guida...
Data Mining Semantics Algorithms Natural Language Processing Humans
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Improving biomedical Named Entity Recognition with additional external contexts.

Journal of biomedical informatics Jun 11, 2024
OBJECTIVE: Biomedical Named Entity Recognition (bio NER) is the task of recognizing named entities in biomedical texts. This paper introduces a new model that addresses bio NER by considering additional external contexts. Different from prior methods...
Natural Language Processing PubMed Data Mining Humans Algorithms Medical Informatics Semantics
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