Results 111 to 120 of about 1,009,621 (180)

Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models

open access: yes
Datasets collected from the open world unavoidably suffer from various forms of randomness or noiseness, leading to the ubiquity of aleatoric (data) uncertainty.
Deng, Zhijie   +5 more
core   +1 more source

Uncertainty-Aware Fault Diagnosis of Rotating Compressors Using Dual-Graph Attention Networks

open access: yesMachines
Rotating compressors are foundational in various industrial processes, particularly in the oil-and-gas sector, where reliable fault detection is crucial for maintaining operational continuity.
Seungjoo Lee   +3 more
doaj   +1 more source

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. [PDF]

open access: yesNeurocomputing (Amst), 2019
Wang G   +5 more
europepmc   +1 more source

Explainable & Safe Artificial Intelligence in Radiology

open access: yesJournal of the Korean Society of Radiology
Artificial intelligence (AI) is transforming radiology with improved diagnostic accuracy and efficiency, but prediction uncertainty remains a critical challenge.
Synho Do
doaj   +1 more source

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval [PDF]

open access: yes
Cross-modal Retrieval methods build similarity relations between vision and language modalities by jointly learning a common representation space. However, the predictions are often unreliable due to the Aleatoric uncertainty, which is induced by low ...
Zhu, Xiaosu   +4 more
core   +1 more source

Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition

open access: yes
To generate accurate and reliable predictions, modern AI systems need to combine data from multiple modalities, such as text, images, audio, spreadsheets, and time series.
Quost, Benjamin   +3 more
core  

Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation

open access: yes
Despite the remarkable progress in generative modelling, current diffusion models lack a quantitative approach to assess image quality. To address this limitation, we propose to estimate the pixel-wise aleatoric uncertainty during the sampling phase of ...
De Vita, Michele, Belagiannis, Vasileios
core  

Unifying Aleatoric and Epistemic Uncertainty in Investment Evaluation

open access: yesCommunications of the IBIMA
In software architecture design, proper attention is often not paid to the relationships between elements across diagrams. However, IT designers, more or less consciously, introduce elements representing the same object instance in different diagrams with nearly identical names.
openaire   +1 more source

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