AIMC Topic: Probability

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Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).

Journal of imaging informatics in medicine Sep 12, 2024
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothelioma (PM) tumor delineations generated using a convolutional neural network (CNN). One hundred eighty-six CT scans from 48 PM patients were segmented...
Middle Aged Convolutional Neural Networks Aged Male Pleural Neoplasms Probability Tumor Burden Radiographic Image Interpretation, Computer-Assisted Mesothelioma Neural Networks, Computer Tomography, X-Ray Computed Female Humans
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Sample selection of adversarial attacks against traffic signs.

Neural networks : the official journal of the International Neural Network Society Sep 3, 2024
In the real world, the correct recognition of traffic signs plays a crucial role in vehicle autonomous driving and traffic monitoring. The research on its adversarial attack can test the security of vehicle autonomous driving system and provide enlig...
Probability Humans Neural Networks, Computer Algorithms Automobile Driving
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Interplay between depth and width for interpolation in neural ODEs.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2024
Neural ordinary differential equations have emerged as a natural tool for supervised learning from a control perspective, yet a complete understanding of the role played by their architecture remains elusive. In this work, we examine the interplay be...
Supervised Machine Learning Probability Algorithms Computer Simulation Humans Neural Networks, Computer
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Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer.

International journal of radiation oncology, biology, physics Aug 13, 2024
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland ...
Salivary Glands Xerostomia Radiotherapy Dosage Radiation Injuries Middle Aged Deep Learning Organs at Risk Probability Head and Neck Neoplasms Adult Male Aged Aged, 80 and over Tomography, X-Ray Computed Female Humans
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Evolutionary Probability and Stacked Regressions Enable Data-Driven Protein Engineering with Minimized Experimental Effort.

Journal of chemical information and modeling Aug 1, 2024
Protein engineering through directed evolution and (semi)rational approaches is routinely applied to optimize protein properties for a broad range of applications in industry and academia. The multitude of possible variants, combined with limited scr...
Models, Molecular Probability Protein Engineering Machine Learning Proteins
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Protocol-based control for semi-Markov reaction-diffusion neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
This paper addresses the asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs) under probabilistic event-triggered protocol (PETP) scheduling. A semi-Markov process with a deterministic switching rule is introduced...
Markov Chains Stochastic Processes Algorithms Computer Simulation Probability Neural Networks, Computer
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Artificial intelligence probabilities scheme for disease prevention data set construction in intelligent smart healthcare scenario.

SLAS technology Jul 20, 2024
In the face of an aging population, smart healthcare services are now within reach, thanks to the proliferation of high-speed internet and other forms of digital technology. Data problems in smart healthcare, unfortunately, put artificial intelligenc...
Delivery of Health Care Probability Humans Artificial Intelligence
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Probability graph complementation contrastive learning.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2024
Graph Neural Network (GNN) has achieved remarkable progress in the field of graph representation learning. The most prominent characteristic, propagating features along the edges, degrades its performance in most heterophilic graphs. Certain research...
Machine Learning Algorithms Humans Neural Networks, Computer Probability
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Robust stability of Boolean networks with data loss and disturbance inputs.

Neural networks : the official journal of the International Neural Network Society Jul 2, 2024
This study discusses the robust stability problem of Boolean networks (BNs) with data loss and disturbances, where data loss is appropriately described by random Bernoulli distribution sequences. Firstly, a BN with data loss and disturbances is conve...
Algorithms Probability Neural Networks, Computer
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Probability density and information entropy of machine learning derived intracranial pressure predictions.

PloS one Jul 1, 2024
Even with the powerful statistical parameters derived from the Extreme Gradient Boost (XGB) algorithm, it would be advantageous to define the predicted accuracy to the level of a specific case, particularly when the model output is used to guide clin...
Adult Male Intracranial Pressure Probability Middle Aged Humans Machine Learning Algorithms Female
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