AIMC Topic: Bayes Theorem

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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 ...
Uncertainty Bayes Theorem Dental Materials Image Processing, Computer-Assisted Artificial Intelligence Cone-Beam Computed Tomography Algorithms
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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 ...
Carbon Dioxide Machine Learning Bayes Theorem 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...
Neural Networks, Computer Markov Chains Algorithms Bayes Theorem Deep Learning
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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 Writing Forensic Medicine Artificial Intelligence Authorship Humans
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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 Protein Interaction Maps Gene Ontology Neural Networks, Computer
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Identifying self-disclosed anxiety on Twitter: A natural language processing approach.

Psychiatry research Nov 3, 2023
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.
Humans Anxiety Natural Language Processing Bayes Theorem Social Media Anxiety Disorders
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Design and implementation of adolescent health Latin dance teaching system under artificial intelligence technology.

PloS one Nov 2, 2023
Since various dance teaching systems have attracted much attention with the development of Artificial Intelligence (AI) technology, this paper improves the recognition performance of Latin dance teaching systems by optimizing the action recognition m...
Dancing Adolescent Bayes Theorem Adolescent Health Humans Algorithms Artificial Intelligence
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In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.

BMC medical informatics and decision making Nov 1, 2023
BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fall prediction in patients with...
Algorithms Retrospective Studies Humans Machine Learning Bayes Theorem Stroke Case-Control Studies Hospitals
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Coherent Blending of Biophysics-Based Knowledge with Bayesian Neural Networks for Robust Protein Property Prediction.

ACS synthetic biology Oct 27, 2023
Predicting properties of proteins is of interest for basic biological understanding and protein engineering alike. Increasingly, machine learning (ML) approaches are being used for this task. However, the accuracy of such ML models typically degrades...
Bayes Theorem Neural Networks, Computer Proteins Machine Learning
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Bayesian parametric models for survival prediction in medical applications.

BMC medical research methodology Oct 26, 2023
BACKGROUND: Evidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials. In an era of personalized medicine, these decisions should be based on the predicted benefit of a tre...
Humans Neural Networks, Computer Uncertainty Bayes Theorem
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