Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models
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
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]
Wang G +5 more
europepmc +1 more source
Explainable & Safe Artificial Intelligence in 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]
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
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
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
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
Leveraging uncertainty estimates for drug response prediction in cancer cell lines. [PDF]
Iversen P, Renard BY, Baum K.
europepmc +1 more source

