AIMC Topic: Bayes Theorem

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AI contextual information shapes moral and aesthetic judgments of AI-generated visual art.

Cognition Jan 16, 2025
Throughout history, art creation has been regarded as a uniquely human means to express original ideas, emotions, and experiences. However, as Generative Artificial Intelligence reshapes visual, aesthetic, legal, and economic culture, critical questi...
Bayes Theorem Morals Visual Perception Esthetics Judgment Humans Young Adult Artificial Intelligence Adult Female Male Art
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Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.

Journal of biomedical optics Jan 16, 2025
SIGNIFICANCE: Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recently, as they represent a faster alternative to the well-known iterative methods such as inverse Monte...
Image Processing, Computer-Assisted Bayes Theorem Animals Hyperspectral Imaging Skin Physiological Phenomena Skin Neural Networks, Computer Algorithms Computer Simulation Humans
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A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index.

Neural networks : the official journal of the International Neural Network Society Jan 14, 2025
For imbalanced classification problem, algorithm-level methods can effectively avoid the information loss and noise introduction of data-level methods. However, the differences in the characteristics of the datasets, such as imbalance ratio, data dim...
Algorithms Bayes Theorem Neural Networks, Computer Humans Machine Learning
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Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference.

Neural networks : the official journal of the International Neural Network Society Jan 13, 2025
Federated Learning (FL) is a popular framework for data privacy protection in distributed machine learning. However, current FL faces some several problems and challenges, including the limited amount of client data and data heterogeneity. These lead...
Humans Neural Networks, Computer Machine Learning Uncertainty Federated Learning Algorithms Bayes Theorem
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Application of functional near-infrared spectroscopy and machine learning to predict treatment response after six months in major depressive disorder.

Translational psychiatry Jan 11, 2025
Depression treatment responses vary widely among individuals. Identifying objective biomarkers with predictive accuracy for therapeutic outcomes can enhance treatment efficiency and avoid ineffective therapies. This study investigates whether functio...
Hemoglobins Antidepressive Agents Dorsolateral Prefrontal Cortex Longitudinal Studies Bayes Theorem Middle Aged Depressive Disorder, Major Functional Neuroimaging Treatment Outcome Spectroscopy, Near-Infrared Female Adult Male Humans Machine Learning
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Elephant Sound Classification Using Deep Learning Optimization.

Sensors (Basel, Switzerland) Jan 9, 2025
Elephant sound identification is crucial in wildlife conservation and ecological research. The identification of elephant vocalizations provides insights into the behavior, social dynamics, and emotional expressions, leading to elephant conservation....
Vocalization, Animal Elephants Animals Bayes Theorem Deep Learning Sound Sound Spectrography
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Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.

PloS one Jan 9, 2025
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various ma...
ROC Curve Support Vector Machine Decision Trees Machine Learning Algorithms Humans Bayes Theorem Voting Stroke
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Enhancing meteorological data reliability: An explainable deep learning method for anomaly detection.

Journal of environmental management Jan 8, 2025
Accurate meteorological observation data is of great importance to human production activities. Meteorological observation systems have been advancing toward automation, intelligence, and informatization. Yet, instrumental malfunctions and unstable s...
Deep Learning Bayes Theorem Meteorological Concepts Humans Algorithms
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Uncertainty-aware diabetic retinopathy detection using deep learning enhanced by Bayesian approaches.

Scientific reports Jan 8, 2025
Deep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. However, in high-stakes and complex domains like healthcare, the opaque nature of these models makes it cha...
Neural Networks, Computer Deep Learning Bayes Theorem Uncertainty Image Processing, Computer-Assisted Humans Diabetic Retinopathy
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SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence.

Scientific reports Jan 7, 2025
Artificial Intelligence techniques are being used to analyse vast amounts of medical data and assist in the accurate and early diagnosis of diseases. The common brain related diseases are faced by most of the people which affects the structure and fu...
Artificial Intelligence Algorithms Deep Learning Humans Bayes Theorem Neural Networks, Computer
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