AIMC Topic: Bayes Theorem

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Missing data in amortized simulation-based neural posterior estimation.

PLoS computational biology Jun 17, 2024
Amortized simulation-based neural posterior estimation provides a novel machine learning based approach for solving parameter estimation problems. It has been shown to be computationally efficient and able to handle complex models and data sets. Yet,...
Neural Networks, Computer Machine Learning Algorithms Humans Bayes Theorem Computer Simulation Computational Biology Data Interpretation, Statistical
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Harnessing machine learning potential for personalised drug design and overcoming drug resistance.

Journal of drug targeting Jun 13, 2024
Drug resistance in cancer treatment presents a significant challenge, necessitating innovative approaches to improve therapeutic efficacy. Integrating machine learning (ML) in cancer research is promising as ML algorithms outrival in analysing comple...
Humans Drug Resistance, Neoplasm Machine Learning Drug Discovery Algorithms Antineoplastic Agents Precision Medicine Bayes Theorem Neoplasms Drug Design
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Wastewater treatment process enhancement based on multi-objective optimization and interpretable machine learning.

Journal of environmental management Jun 13, 2024
Optimization and control of wastewater treatment process (WTP) can contribute to cost reduction and efficiency. A wastewater treatment process multi-objective optimization (WTPMO) framework is proposed in this paper to provide suggestions for decisio...
Models, Theoretical Bayes Theorem Machine Learning Water Quality Wastewater Algorithms Water Purification Waste Disposal, Fluid
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Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models.

Medical decision making : an international journal of the Society for Medical Decision Making Jun 10, 2024
PURPOSE: To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET)'s SimCRC, MISCAN-Colon, and CRC-SPIN simulation models of the natural history colorectal cancer (CRC) with an emulator-based Bayesian algorithm and internally valida...
Calibration Monte Carlo Method Computer Simulation Humans Colorectal Neoplasms Neural Networks, Computer Bayes Theorem Algorithms
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Understanding sexual homicide in Korea using machine learning algorithms.

Behavioral sciences & the law Jun 10, 2024
The current study was conducted to confirm the characteristics in sexual homicide and to explore variables that effectively differentiate sexual homicide and nonsexual homicide. Further, newer methods that have received attention in criminology, such...
Bayes Theorem Homicide Sex Offenses Male Middle Aged Female Adolescent Young Adult Adult Machine Learning Humans Algorithms Republic of Korea
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Machine learning models' assessment: trust and performance.

Medical & biological engineering & computing Jun 8, 2024
The common black box nature of machine learning models is an obstacle to their application in health care context. Their widespread application is limited by a significant "lack of trust." So, the main goal of this work is the development of an evalu...
Middle Aged Risk Assessment Logistic Models Aged Male Trust Bayes Theorem Portugal Humans Machine Learning Female
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Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease.

Neuroinformatics Jun 7, 2024
Tensor-based representations are being increasingly used to represent complex data types such as imaging data, due to their appealing properties such as dimension reduction and the preservation of spatial information. Recently, there is a growing lit...
Brain Female Aged Humans Bayes Theorem Male Alzheimer Disease Support Vector Machine Diffusion Tensor Imaging Magnetic Resonance Imaging
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A Dynamic Window Method Based on Reinforcement Learning for SSVEP Recognition.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 7, 2024
Steady-state visual evoked potential (SSVEP) is one of the most used brain-computer interface (BCI) paradigms. Conventional methods analyze SSVEPs at a fixed window length. Compared with these methods, dynamic window methods can achieve a higher info...
Evoked Potentials, Visual Adult Reinforcement, Psychology Algorithms Humans Discriminant Analysis Male Bayes Theorem Neural Networks, Computer Female Machine Learning Electroencephalography Young Adult Brain-Computer Interfaces
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Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI Reconstruction.

IEEE transactions on medical imaging Jun 5, 2024
Magnetic resonance imaging is subject to slow acquisition times due to the inherent limitations in data sampling. Recently, supervised deep learning has emerged as a promising technique for reconstructing sub-sampled MRI. However, supervised deep lea...
Humans Algorithms Magnetic Resonance Imaging Brain Bayes Theorem Deep Learning Supervised Machine Learning Image Processing, Computer-Assisted
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UGEE-Net: Uncertainty-guided and edge-enhanced network for image splicing localization.

Neural networks : the official journal of the International Neural Network Society Jun 3, 2024
Image splicing, a prevalent method for image tampering, has significantly undermined image authenticity. Existing methods for Image Splicing Localization (ISL) struggle with challenges like limited accuracy and subpar performance when dealing with im...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Bayes Theorem Uncertainty
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