AIMC Topic: Uncertainty

Clear Filters Showing 451 to 460 of 706 articles

Uncertainty Class Activation Map (U-CAM) Using Gradient Certainty Method.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 20, 2021
Understanding and explaining deep learning models is an imperative task. Towards this, we propose a method that obtains gradient-based certainty estimates that also provide visual attention maps. Particularly, we solve for visual question answering t...
Image Processing, Computer-Assisted Bayes Theorem Uncertainty Humans Artificial Intelligence Algorithms
View on PubMed DOI

GA-based implicit stochastic optimization and RNN-based simulation for deriving multi-objective reservoir hedging rules.

Environmental science and pollution research international Jan 4, 2021
Management of reservoir systems is a complicated process involving many uncertainties regarding future events and the diversity of purposes these reservoirs serve; therefore, an effective management of these systems could help improve resource utiliz...
Uncertainty Computer Simulation Germany Neural Networks, Computer Algorithms
View on PubMed DOI

Exponential Synchronization of Delayed Memristor-Based Uncertain Complex-Valued Neural Networks for Image Protection.

IEEE transactions on neural networks and learning systems Jan 4, 2021
This article solves the exponential synchronization issue of memristor-based complex-valued neural networks (MCVNNs) with time-varying uncertainties via feedback control. Compared with the traditional control methods, a more practical and general con...
Neural Networks, Computer Image Processing, Computer-Assisted Computer Security Uncertainty Algorithms Feedback
View on PubMed DOI

Information Aware max-norm Dirichlet networks for predictive uncertainty estimation.

Neural networks : the official journal of the International Neural Network Society Dec 28, 2020
Precise estimation of uncertainty in predictions for AI systems is a critical factor in ensuring trust and safety. Deep neural networks trained with a conventional method are prone to over-confident predictions. In contrast to Bayesian neural network...
Humans Forecasting Deep Learning Bayes Theorem Neural Networks, Computer Algorithms Uncertainty
View on PubMed DOI

Dynamics of fractional order nonlinear system: A realistic perception with neutrosophic fuzzy number and Allee effect.

Journal of advanced research Dec 3, 2020
INTRODUCTION: The fusion of fractional order differential equations and fuzzy numbers has been widely used in modelling different engineering and applied sciences problems. In addition to these, the Allee effect, which is of high importance in field ...
Uncertainty Economic Development Investments Algorithms Models, Theoretical Employment Perception Fuzzy Logic Humans
View on PubMed DOI

Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation.

IEEE transactions on medical imaging Nov 30, 2020
Fully convolutional neural networks (FCNs), and in particular U-Nets, have achieved state-of-the-art results in semantic segmentation for numerous medical imaging applications. Moreover, batch normalization and Dice loss have been used successfully t...
Image Processing, Computer-Assisted Calibration Brain Uncertainty Humans Male Neural Networks, Computer
View on PubMed DOI

Recent Advances on Dynamical Behaviors of Coupled Neural Networks With and Without Reaction-Diffusion Terms.

IEEE transactions on neural networks and learning systems Nov 30, 2020
Recently, the dynamical behaviors of coupled neural networks (CNNs) with and without reaction-diffusion terms have been widely researched due to their successful applications in different fields. This article introduces some important and interesting...
Neural Networks, Computer Algorithms Feedback Fuzzy Logic Stochastic Processes Uncertainty
View on PubMed DOI

Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach.

IEEE transactions on neural networks and learning systems Nov 30, 2020
The aim of this article is to investigate the trajectory tracking problem of systems with uncertain models and state restrictions using differential neural networks (DNNs). The adaptive control design considers the design of a nonparametric identifie...
Uncertainty Neural Networks, Computer Nonlinear Dynamics Algorithms Finite Element Analysis Models, Theoretical Robotics Computer Simulation
View on PubMed DOI

Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors.

Computational intelligence and neuroscience Nov 21, 2020
Considering the limitation of machine and technology, we study the stability for nonlinear impulsive control system with some uncertainty factors, such as the bounded gain error and the parameter uncertainty. A new sufficient condition for this syste...
Uncertainty Neural Networks, Computer Nonlinear Dynamics
View on PubMed DOI

Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and aleatoric uncertainty.

Physics in medicine and biology Nov 12, 2020
There can be significant uncertainty when identifying cervical lymph node (LN) metastases in patients with oropharyngeal squamous cell carcinoma (OPSCC) despite the use of modern imaging modalities such as positron emission tomography (PET) and compu...
Cohort Studies ROC Curve Male Middle Aged Neural Networks, Computer Humans Reproducibility of Results Positron Emission Tomography Computed Tomography Uncertainty Female Prognosis Image Processing, Computer-Assisted Aged Oropharyngeal Neoplasms Lymphatic Metastasis
View on PubMed DOI
Popular Topics
Recent Journals