AIMC Topic: Bayes Theorem

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Construct validation of machine learning for accurately predicting the risk of postoperative surgical site infection following spine surgery.

The Journal of hospital infection Nov 27, 2023
BACKGROUND: This study aimed to evaluate the risk factors for machine learning (ML) algorithms in predicting postoperative surgical site infection (SSI) following spine surgery.
Algorithms Bayes Theorem Prospective Studies Surgical Wound Infection Machine Learning Humans Retrospective Studies Risk Factors
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Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.

Neural networks : the official journal of the International Neural Network Society Nov 25, 2023
Recent years have witnessed increasing interest in adversarial attacks on images, while adversarial video attacks have seldom been explored. In this paper, we propose a sparse adversarial attack strategy on videos (DeepSAVA). Our model aims to add a ...
Time Factors Neural Networks, Computer Humans Recognition, Psychology Algorithms Bayes Theorem
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Large-scale spatiotemporal deep learning predicting urban residential indoor PM concentration.

Environment international Nov 22, 2023
Indoor PM pollution is one of the leading causes of death and disease worldwide. As monitoring indoor PM concentrations on a large scale is challenging, it is urgent to assess population-level exposure and related health risks to develop an easy-to-u...
Bayes Theorem Air Pollution Air Pollution, Indoor Particulate Matter Environmental Monitoring Air Pollutants Deep Learning
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Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction.

IEEE transactions on bio-medical engineering Nov 21, 2023
An Individual Survival Distribution (ISD) models a patient's personalized survival probability at all future time points. Previously, ISD models have been shown to produce accurate and personalized survival estimates (for example, time to relapse or ...
Bayes Theorem Uncertainty Humans Neural Networks, Computer
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ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.

Ultrasonic imaging Nov 20, 2023
Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classificatio...
Breast Female Ultrasonography Bayes Theorem Ultrasonography, Mammary Humans Neural Networks, Computer
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Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT Segmentation.

Journal of endodontics Nov 17, 2023
INTRODUCTION: Training of Artificial Intelligence (AI) for biomedical image analysis depends on large annotated datasets. This study assessed the efficacy of Active Learning (AL) strategies training AI models for accurate multilabel segmentation and ...
Artificial Intelligence Algorithms Bayes Theorem Dental Materials Cone-Beam Computed Tomography Image Processing, Computer-Assisted Uncertainty
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Development and performance comparison of optimized machine learning-based regression models for predicting energy-related carbon dioxide emissions.

Environmental science and pollution research international Nov 15, 2023
Accurate prediction of CO emissions for the countries has become a crucial task in decision-making processes for planning energy conversion and usage, supporting the design of effective emissions reduction strategies, and helping to achieve the goal ...
Bayes Theorem Carbon Dioxide Machine Learning Forecasting
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Markov chain stochastic DCA and applications in deep learning with PDEs regularization.

Neural networks : the official journal of the International Neural Network Society Nov 13, 2023
This paper addresses a large class of nonsmooth nonconvex stochastic DC (difference-of-convex functions) programs where endogenous uncertainty is involved and i.i.d. (independent and identically distributed) samples are not available. Instead, we ass...
Markov Chains Neural Networks, Computer Algorithms Deep Learning Bayes Theorem
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A model-independent redundancy measure for human versus ChatGPT authorship discrimination using a Bayesian probabilistic approach.

Scientific reports Nov 6, 2023
The academic and scientific world in general is increasingly concerned about their inability to determine and ascertain the identity of the writer of a text. More and more often the question arises as to whether a scientific article or work handed in...
Bayes Theorem Forensic Medicine Humans Authorship Artificial Intelligence Writing
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Implementing link prediction in protein networks via feature fusion models based on graph neural networks.

Computational biology and chemistry Nov 5, 2023
MOTIVATION: Protein-protein interactions serve as the cornerstone for various biochemical processes within biological organisms. Existing research methodologies predominantly employ link prediction techniques to analyze these interaction networks. Ho...
Bayes Theorem Gene Ontology Neural Networks, Computer Protein Interaction Maps
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