Results 91 to 100 of about 10,063 (188)
Uncertainty-Aware Fault Diagnosis of Rotating Compressors Using Dual-Graph Attention Networks
MachinesRotating 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
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Physical Review Accelerators and BeamsIn this work, we develop a machine learning (ML) model with aleatoric uncertainty for the low energy beam transport (LEBT) region of the LANSCE linear accelerator in which we model the transport of a space-charge-dominated 750 keV proton beam through a ...
Cristina Garcia-Cardona +1 more
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Multimodal Uncertainty Robust Tree Cover Segmentation for High-Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingRecentadvances in semantic segmentation of multimodal remote sensing images have significantly improved the accuracy of tree cover mapping, supporting applications in urban planning, forest monitoring, and ecological assessment.
Yuanyuan Gui +6 more
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Am I confused or is this confusing?: Deep ensembles for ENSO uncertainty quantification
Machine Learning. EarthFaithful uncertainty quantification (UQ) is paramount in high stakes climate prediction. Deep ensembles, or ensembles of probabilistic neural networks, are state of the art for UQ in machine learning (ML) and are growing increasingly popular for weather ...
Devin M McAfee, Elizabeth A Barnes
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IEEE AccessMedical image segmentation often involves inherent uncertainty due to inter observer variability. In this case, a single deterministic mask obtained by conventional segmentation networks, such as U-Net, cannot capture the distribution of plausible expert
Satirtha Paul Shyam +2 more
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Uncertainty Modelling for Tumour Cellularity Estimation in Histopathology Using Deep Learning
IEEE AccessTumour cellularity (TC) is an important metric used in the cancer treatment journey, from monitoring the therapeutic response to guiding subsequent treatment decisions.
Riddhasree Bhattacharyya +2 more
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Architecture Image Studies Scientific JournalThe waves come and go, they go, and they come back again and again. The church clock chimes and the pen of the author scratches out a more chaotic temporal signature. The waves are pulled and pushed by invisible forces, some of which are as old as time
Hyun Jun Park, Nic Clear
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Deep Modeling of Non-Gaussian Aleatoric Uncertainty
IEEE Robotics and Automation LettersDeep learning offers promising new ways to accurately model aleatoric uncertainty in robotic state estimation systems, particularly when the uncertainty distributions do not conform to traditional assumptions of being fixed and Gaussian. In this study, we formulate and evaluate three fundamental deep learning approaches for conditional probability ...
Aastha Acharya +5 more
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Explainable & Safe Artificial Intelligence in Radiology
Journal of the Korean Society of RadiologyArtificial intelligence (AI) is transforming radiology with improved diagnostic accuracy and efficiency, but prediction uncertainty remains a critical challenge.
Synho Do
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Aleatoric and Epistemic Uncertainty in Conformal Prediction
Recently, there has been a particular interest in distinguishing different types of uncertainty in supervised machine learning (ML) settings (Hullermeier and Waegeman, 2021). Aleatoric uncertainty captures the inherent randomness in the data-generating process.
Nguyen (Ed.), Khuong An +5 more
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