Article-Journal

Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes
One of the primary challenges in applying deep learning approaches to medical imaging is the limited availability of data due to …
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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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Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology
Recently, graph-based semi-supervised learning (GSSL) has garnered significant interest in the realms of machine learning and pattern …
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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
Data augmentation for deep visual recognition using superpixel based pairwise image fusion
Data augmentation is an important paradigm for boosting the generalization capability of deep learning in image classification tasks. …
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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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Clustering using graph convolution networks
Graph convolution networks (GCNs) have emerged as powerful approaches for semi-supervised classification of attributed graph data. In …
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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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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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Blood cell revolution: Unveiling 11 distinct types with ‘Naturalize’ augmentation
Artificial intelligence (AI) has emerged as a cutting-edge tool, simultaneously accelerating, securing, and enhancing the diagnosis and …
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