AIMC Topic: Uncertainty

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DISCO: A deep learning ensemble for uncertainty-aware segmentation of acoustic signals.

PloS one Jul 26, 2023
Recordings of animal sounds enable a wide range of observational inquiries into animal communication, behavior, and diversity. Automated labeling of sound events in such recordings can improve both throughput and reproducibility of analysis. Here, we...
Whales Uncertainty Acoustics Vocalization, Animal Animals Reproducibility of Results Deep Learning
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Toward Intrinsic Adversarial Robustness Through Probabilistic Training.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 14, 2023
Modern deep neural networks have made numerous breakthroughs in real-world applications, yet they remain vulnerable to some imperceptible adversarial perturbations. These tailored perturbations can severely disrupt the inference of current deep learn...
Neural Networks, Computer Artificial Intelligence Uncertainty
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Neural-Network-Based Adaptive Control of Uncertain MIMO Singularly Perturbed Systems With Full-State Constraints.

IEEE transactions on neural networks and learning systems Jul 6, 2023
This article investigates the tracking control problem for a class of nonlinear multi-input-multi-output (MIMO) uncertain singularly perturbed systems (SPSs) with full-state constraints. The underlying issues become more challenging because two-time-...
Nonlinear Dynamics Uncertainty Neural Networks, Computer
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Synchronization of Uncertain Coupled Neural Networks With Time-Varying Delay of Unknown Bound via Distributed Delayed Impulsive Control.

IEEE transactions on neural networks and learning systems Jul 6, 2023
This article investigates the issue of synchronization for a type of uncertain coupled neural networks (CNNs) involving time-varying delay with unmeasured or unknown bound by delayed impulsive control with distributed delay. A new Halanay-like delaye...
Computer Simulation Time Factors Neural Networks, Computer Uncertainty
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Adaptive prescribed settling time periodic event-triggered control for uncertain robotic manipulators with state constraints.

Neural networks : the official journal of the International Neural Network Society Jul 4, 2023
In this paper, an adaptive prescribed settling time periodic event-triggered control (APST-PETC) is investigated for uncertain robotic manipulators with state constraints. In order to economize network bandwidth occupancy and reduce computational bur...
Robotics Robotic Surgical Procedures Uncertainty
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Clinical target volume delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 4, 2023
BACKGROUND AND PURPOSE: Previous studies on automatic delineation quality assurance (QA) have mostly focused on CT-based planning. As MRI-guided radiotherapy is increasingly utilized in prostate cancer treatment, there is a need for more research on ...
Humans Male Quality Assurance, Health Care Uncertainty Radiotherapy, Image-Guided Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms
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Robust Vector BOTDA Signal Processing with Probabilistic Machine Learning.

Sensors (Basel, Switzerland) Jun 30, 2023
This paper presents a novel probabilistic machine learning (PML) framework to estimate the Brillouin frequency shift (BFS) from both Brillouin gain and phase spectra of a vector Brillouin optical time-domain analysis (VBOTDA). The PML framework is us...
Models, Statistical Uncertainty Signal Processing, Computer-Assisted Machine Learning Optical Devices
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Predictive Uncertainty Estimation for Camouflaged Object Detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 29, 2023
Uncertainty is inherent in machine learning methods, especially those for camouflaged object detection aiming to finely segment the objects concealed in background. The strong enquote center bias of the training dataset leads to models of poor genera...
Uncertainty Bayes Theorem Machine Learning Image Processing, Computer-Assisted
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Relief in Sight? Chatbots, In-baskets, and the Overwhelmed Primary Care Clinician.

Journal of general internal medicine Jun 27, 2023
The recent emergence of publically facing artificial intelligence (AI) chatbots has generated vigorous discussion in the lay public around the possibilities, liabilities, and uncertainties of the integration of such technology into everyday life. As ...
Uncertainty Technology Electronics Primary Health Care Humans Artificial Intelligence
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Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue.

Environmental science and pollution research international Jun 27, 2023
While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS) have been frequently employed in the field of water resources, documents aimed to...
Water Resources Trees Artificial Intelligence Forecasting Lead Uncertainty Rivers
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