Article-Journal

Lung pneumonia severity scoring in chest X-ray images using transformers
To create robust and adaptable methods for lung pneumonia diagnosis and the assessment of its severity using chest X-rays (CXR), access …
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Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification
To enhance the accuracy of breast cancer diagnosis, current practices rely on biopsies and microscopic examinations. However, this …
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Naturalize revolution: unprecedented ai-driven precision in skin cancer classification using deep learning
Background: In response to the escalating global concerns surrounding skin cancer, this study aims to address the imperative for …
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Overcoming graph topology imbalance for inductive and scalable semi-supervised learning
Graph-based semi-supervised learning (GSSL) has received much attention recently. Despite some progress made in this area by some …
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Recognizing and detecting COVID-19 in chest X-ray images using constrained multi-view spectral clustering
Machine learning, particularly classification algorithms, has been widely employed for diagnosing COVID-19 cases. However, these …
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Sample-weighted fused graph-based semi-supervised learning on multi-view data
Research in semi-supervised learning on graphs has attracted more and more attention in recent years, as learning on graphs is applied …
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Towards a unified framework for graph-based multi-view clustering
Recently, clustering data collected from various sources has become a hot topic in real-world applications. The most common methods for …
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Towards a unified framework for graph-based multi-view clustering
Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification
The exceptional performance of ImageNet competition winners in image classification has led AI researchers to repurpose these models …
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Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering
Automatic classification methods widely used for diagnosing and analyzing COVID-19 cases. These methods assume known labels and rely on …
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Transformer-based fall detection in videos
Falls pose a major threat for the elderly as they result in severe consequences for their physical and mental health or even death in …
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