AIMC Topic: Semantics

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SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation.

IEEE transactions on neural networks and learning systems Apr 4, 2024
The precise segmentation of medical images is one of the key challenges in pathology research and clinical practice. However, many medical image segmentation tasks have problems such as large differences between different types of lesions and similar...
Semantics Benchmarking Neural Networks, Computer Image Processing, Computer-Assisted Learning
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Holistic-Guided Disentangled Learning With Cross-Video Semantics Mining for Concurrent First-Person and Third-Person Activity Recognition.

IEEE transactions on neural networks and learning systems Apr 4, 2024
The popularity of wearable devices has increased the demands for the research on first-person activity recognition. However, most of the current first-person activity datasets are built based on the assumption that only the human-object interaction (...
Humans Semantics Human Activities Cues Neural Networks, Computer
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Mutual Correlation Network for few-shot learning.

Neural networks : the official journal of the International Neural Network Society Apr 3, 2024
Most metric-based Few-Shot Learning (FSL) methods focus on learning good embeddings of images. However, these methods either lack the ability to explore the cross-correlation (i.e., correlated information) between image pairs or explore limited conse...
Algorithms Machine Learning Semantics Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Genomic language model predicts protein co-regulation and function.

Nature communications Apr 3, 2024
Deciphering the relationship between a gene and its genomic context is fundamental to understanding and engineering biological systems. Machine learning has shown promise in learning latent relationships underlying the sequence-structure-function par...
Phylogeny Proteins Machine Learning Operon Semantics Metagenomics
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SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation.

IEEE transactions on medical imaging Apr 3, 2024
Image segmentation achieves significant improvements with deep neural networks at the premise of a large scale of labeled training data, which is laborious to assure in medical image tasks. Recently, semi-supervised learning (SSL) has shown great pot...
Neural Networks, Computer Semantics Image Processing, Computer-Assisted Tomography, X-Ray Computed Supervised Machine Learning
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MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents.

Neural networks : the official journal of the International Neural Network Society Mar 29, 2024
Emotion-cause pair extraction (ECPE) is a challenging task that aims to automatically identify pairs of emotions and their causes from documents. The difficulty of ECPE lies in distinguishing valid emotion-cause pairs from many irrelevant ones. Most ...
Humans Emotions Neural Networks, Computer Semantics Natural Language Processing
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Z2F: Heterogeneous graph-based Android malware detection.

PloS one Mar 28, 2024
Android malware is becoming more common, and its invasion of smart devices has brought immeasurable losses to people's lives. Most existing Android malware detection methods extract Android features from the original application files without conside...
Neural Networks, Computer Semantic Differential Records Humans Semantics
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Bayesian-knowledge driven ontologies: A framework for fusion of semantic knowledge under uncertainty and incompleteness.

PloS one Mar 27, 2024
The modeling of uncertain information is an open problem in ontology research and is a theoretical obstacle to creating a truly semantic web. Currently, ontologies often do not model uncertainty, so stochastic subject matter must either be normalized...
Semantics Biological Ontologies Knowledge Bases Uncertainty Logic Bayes Theorem
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US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation.

Computers in biology and medicine Mar 15, 2024
Cardiac ultrasound (US) image segmentation is vital for evaluating clinical indices, but it often demands a large dataset and expert annotations, resulting in high costs for deep learning algorithms. To address this, our study presents a framework ut...
Semantics Echocardiography Algorithms Benchmarking Image Processing, Computer-Assisted Artificial Intelligence
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Damage detection of road domain waveform guardrail structure based on machine learning multi-module fusion.

PloS one Mar 15, 2024
The current highway waveform guardrail recognition technology has encountered problems with low segmentation accuracy and strong noise interference. Therefore, an improved U-net semantic segmentation model is proposed to improve the efficiency of roa...
Recognition, Psychology Semantics Wavelet Analysis Image Processing, Computer-Assisted Machine Learning Technology
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