AIMC Topic: Probability

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Justifying Our Credences in the Trustworthiness of AI Systems: A Reliabilistic Approach.

Science and engineering ethics Nov 21, 2024
We address an open problem in the philosophy of artificial intelligence (AI): how to justify the epistemic attitudes we have towards the trustworthiness of AI systems. The problem is important, as providing reasons to believe that AI systems are wort...
Knowledge Philosophy Probability Attitude Artificial Intelligence Trust Humans
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Rethinking density ratio estimation based hyper-parameter optimization.

Neural networks : the official journal of the International Neural Network Society Nov 20, 2024
Hyper-parameter optimization (HPO) aims to improve the performance of machine learning algorithms by identifying appropriate hyper-parameters. By converting the computation of expected improvement into density-ratio estimation problems, existing work...
Neural Networks, Computer Humans Machine Learning Algorithms Probability
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Predicting burn probability: Dimensionality reduction strategies enable accurate and computationally efficient metamodeling.

Journal of environmental management Oct 30, 2024
Predicting the probability that a given location will be burnt by a wildfire is an important part of understanding the risk that wildfires pose and how our management actions (e.g., prescribed burning) can reduce this risk. Existing methods to quanti...
Neural Networks, Computer Fires Wildfires Probability Machine Learning Models, Theoretical
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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...
Male Middle Aged Female Aged Mesothelioma Pleural Neoplasms Probability Convolutional Neural Networks Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Humans Tumor Burden
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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...
Automobile Driving Probability Neural Networks, Computer Algorithms Humans
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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...
Neural Networks, Computer Algorithms Humans Probability Computer Simulation Supervised Machine Learning
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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 ...
Xerostomia Humans Tomography, X-Ray Computed Radiation Injuries Salivary Glands Probability Radiotherapy Dosage Male Middle Aged Deep Learning Head and Neck Neoplasms Organs at Risk Female Aged Aged, 80 and over Adult
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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...
Protein Engineering Machine Learning Models, Molecular Probability 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...
Neural Networks, Computer Computer Simulation Markov Chains Algorithms Probability Stochastic Processes
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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...
Probability Artificial Intelligence Delivery of Health Care Humans
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