AIMC Topic: Semantics

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MSDCNN: A multiscale dilated convolution neural network for fine-grained 3D shape classification.

Neural networks : the official journal of the International Neural Network Society Jan 23, 2024
Multi-view deep neural networks have shown excellent performance on 3D shape classification tasks. However, global features aggregated from multiple views data often lack content information and spatial relationship, which leads to difficult identifi...
Neural Networks, Computer Semantics
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CMBEE: A constraint-based multi-task learning framework for biomedical event extraction.

Journal of biomedical informatics Jan 23, 2024
OBJECTIVE: Event extraction plays a crucial role in natural language processing. However, in the biomedical domain, the presence of nested events adds complexity to event extraction compared to single events, and these events usually have strong sema...
Machine Learning Natural Language Processing Data Mining Semantics
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Development and application of Chinese medical ontology for diabetes mellitus.

BMC medical informatics and decision making Jan 19, 2024
OBJECTIVE: To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructing high-quality Chinese biomedical ontologies.
Humans Artificial Intelligence Language Diabetes Mellitus Semantics Biological Ontologies
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SEA-NET: medical image segmentation network based on spiral squeeze-and-excitation and attention modules.

BMC medical imaging Jan 11, 2024
BACKGROUND: Medical image segmentation is an important processing step in most of medical image analysis. Thus, high accuracy and robustness are required for them. The current deep neural network based medical segmentation methods have good effect on...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Semantics Neuroimaging Entropy Receptor Protein-Tyrosine Kinases
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Contrastive learning of graphs under label noise.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2024
In the domain of graph-structured data learning, semi-supervised node classification serves as a critical task, relying mainly on the information from unlabeled nodes and a minor fraction of labeled nodes for training. However, real-world graph-struc...
Neural Networks, Computer Learning Semantics Entropy
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Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study.

Journal of medical Internet research Dec 29, 2023
BACKGROUND: Artificial intelligence models tailored to diagnose cognitive impairment have shown excellent results. However, it is unclear whether large linguistic models can rival specialized models by text alone.
Humans Artificial Intelligence Language Cognitive Dysfunction Semantics Linguistics
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Local structure-aware graph contrastive representation learning.

Neural networks : the official journal of the International Neural Network Society Dec 27, 2023
Traditional Graph Neural Network (GNN), as a graph representation learning method, is constrained by label information. However, Graph Contrastive Learning (GCL) methods, which tackles the label problem effectively, mainly focus on the feature inform...
Neural Networks, Computer Learning Semantics
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CRPU-NET: a deep learning model based semantic segmentation for the detection of colorectal polyp in lower gastrointestinal tract.

Biomedical physics & engineering express Dec 27, 2023
. The objectives of the proposed work are twofold. Firstly, to develop a specialized light weight CRPU-Net for the segmentation of polyps in colonoscopy images. Secondly, to conduct a comparative analysis of the performance of CRPU-Net with implement...
Humans Research Design Deep Learning Colonic Polyps Semantics Lower Gastrointestinal Tract
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Adversarially robust neural networks with feature uncertainty learning and label embedding.

Neural networks : the official journal of the International Neural Network Society Dec 26, 2023
Deep neural networks (DNNs) are vulnerable to the attacks of adversarial examples, which bring serious security risks to the learning systems. In this paper, we propose a new defense method to improve the adversarial robustness of DNNs based on stoch...
Neural Networks, Computer Learning Semantics Uncertainty
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Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs.

IEEE/ACM transactions on computational biology and bioinformatics Dec 25, 2023
The automatic disease diagnosis utilizing clinical data has been suffering from the issues of feature sparse and high probability of missing values. Since the graph neural network is a effective tool to model the structural information and infer the ...
Humans Neural Networks, Computer Electronic Health Records Pulmonary Disease, Chronic Obstructive China Semantics
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