AIMC Topic: Algorithms

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The fifth era of science: Artificial scientific intelligence.

PLoS biology Jun 10, 2025
The era of artificial scientific intelligence is here. As algorithms generate discoveries at scale, what role remains for human scientists?
Artificial Intelligence Algorithms Humans Science
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A plaque recognition algorithm for coronary OCT images by Dense Atrous Convolution and attention mechanism.

PloS one Jun 10, 2025
Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is primarily carried out manually by physicians, and the accuracy of existing automatic segmentation techniques needs further improvement. To furnish eff...
Plaque, Atherosclerotic Image Processing, Computer-Assisted Tomography, Optical Coherence Coronary Artery Disease Coronary Vessels Humans Algorithms Deep Learning
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Explainable one-class feature extraction by adaptive resonance for anomaly detection in quality assurance.

PloS one Jun 10, 2025
In this study, we address the inherent challenges in radiotherapy (RT) plan quality assessment (QA). RT, a prevalent cancer treatment, utilizes high-energy beams to target tumors while sparing adjacent healthy tissues. Typically, an RT plan is refine...
Neural Networks, Computer Machine Learning Humans Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Algorithms Neoplasms
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ADC-MambaNet: a lightweight U-shaped architecture with mamba and multi-dimensional priority attention for medical image segmentation.

Biomedical physics & engineering express Jun 9, 2025
Medical image segmentation is becoming a growing crucial step in assisting with disease detection and diagnosis. However, medical images often exhibit complex structures and textures, resulting in the need for highly complex methods. Particularly, wh...
Algorithms Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match.

PloS one Jun 9, 2025
Machine learning (ML) classification of myocardial scarring in cardiac MRI is often hindered by limited explainability, particularly with convolutional neural networks (CNNs). To address this, we developed One Match (OM), an algorithm that builds on ...
Cicatrix Female Heart Machine Learning Myocardium Aged Humans Algorithms Image Interpretation, Computer-Assisted Convolutional Neural Networks Neural Networks, Computer Magnetic Resonance Imaging Male Middle Aged
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BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers.

PloS one Jun 9, 2025
Bangla news floods the web, and the need for smarter and more efficient classification techniques is greater than ever. Previous studies mostly focused on traditional models, overlooking the potential of hybrid techniques to handle the ever-growing c...
Newspapers as Topic Deep Learning Support Vector Machine Algorithms Language Humans Machine Learning
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TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs.

PloS one Jun 9, 2025
Research on user churn prediction has been conducted across various domains for a long time. Among these, the gaming domain is characterized by its potential for diverse types of interactions between users. Due to this characteristic, many studies on...
Computer Graphics Neural Networks, Computer Humans Algorithms
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Enhanced pedestrian trajectory prediction via overlapping field-of-view domains and integrated Kolmogorov-Arnold networks.

PloS one Jun 9, 2025
Accurate pedestrian trajectory prediction is crucial for applications such as autonomous driving and crowd surveillance. This paper proposes the OV-SKTGCNN model, an enhancement to the Social-STGCNN model, aimed at addressing its low prediction accur...
Models, Theoretical Walking Neural Networks, Computer Pedestrians Algorithms Humans
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Aggregating soft labels from crowd annotations improves uncertainty estimation under distribution shift.

PloS one Jun 9, 2025
Selecting an effective training signal for machine learning tasks is difficult: expert annotations are expensive, and crowd-sourced annotations may not be reliable. Recent work has demonstrated that learning from a distribution over labels acquired f...
Crowdsourcing Uncertainty Machine Learning Algorithms Humans
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Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation.

PloS one Jun 9, 2025
Low-rank methods have shown success in accelerating simulations of a collisionless plasma described by the Vlasov equation, but still rely on computationally costly linear algebra every time step. We propose a data-driven factorization method using a...
Neural Networks, Computer Algorithms Computer Simulation Models, Theoretical
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