AIMC Topic: Uncertainty

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Uncertainty-aware hierarchical segment-channel attention mechanism for reliable and interpretable multichannel signal classification.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2022
Multichannel signal data analysis has been crucial in various industrial applications, such as human activity recognition, vehicle failure predictions, and manufacturing equipment monitoring. Recently, deep neural networks have come into use for mult...
Neural Networks, Computer Humans Uncertainty
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Uncertainty-aware skin cancer detection: The element of doubt.

Computers in biology and medicine Mar 2, 2022
Artificial intelligence (AI)-based medical diagnosis has received huge attention due to its potential to improve and accelerate the decision-making process at the patient level in a range of healthcare settings. Despite the recent signs of progress i...
Artificial Intelligence Algorithms Neural Networks, Computer Monte Carlo Method Uncertainty Bayes Theorem Skin Neoplasms Humans
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Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation.

International journal of neural systems Feb 25, 2022
Semi-supervised learning reduces overfitting and facilitates medical image segmentation by regularizing the learning of limited well-annotated data with the knowledge provided by a large amount of unlabeled data. However, there are many misuses and u...
Uncertainty Supervised Machine Learning
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Operational Scheduling of Behind-the-Meter Storage Systems Based on Multiple Nonstationary Decomposition and Deep Convolutional Neural Network for Price Forecasting.

Computational intelligence and neuroscience Feb 21, 2022
In the competitive electricity market, electricity price reflects the relationship between power supply and demand and plays an important role in the strategic behavior of market players. With the development of energy storage systems after watt-hour...
Electric Power Supplies Uncertainty Forecasting Electricity Neural Networks, Computer
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Operating Room Planning for Emergency Surgery: Optimization in Multiobjective Modeling and Management from the Latest Developments in Computational Intelligence Techniques.

Computational intelligence and neuroscience Feb 17, 2022
This study presents an optimization approach for scheduling the operation room for emergency surgeries, considering the priority of surgeries. This optimization model aims to minimize the costs associated with elective and emergency surgeries and max...
Operating Rooms Uncertainty Computer Simulation Artificial Intelligence Humans Algorithms
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Intelligent 2-∞ Consensus of Multiagent Systems under Switching Topologies via Fuzzy Deep Learning.

Computational intelligence and neuroscience Feb 16, 2022
The problem of intelligent - consensus design for leader-followers multiagent systems (MASs) under switching topologies is investigated based on switched control theory and fuzzy deep learning. It is supposed that the communication topologies are ...
Computer Simulation Intelligence Artificial Intelligence Algorithms Uncertainty
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Noise Immunity and Robustness Study of Image Recognition Using a Convolutional Neural Network.

Sensors (Basel, Switzerland) Feb 6, 2022
The problem surrounding convolutional neural network robustness and noise immunity is currently of great interest. In this paper, we propose a technique that involves robustness estimation and stability improvement. We also examined the noise immunit...
Noise Probability Uncertainty Recognition, Psychology Image Processing, Computer-Assisted Neural Networks, Computer
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Group decision making under uncertain preferences: powered by AI, empowered by AI.

Annals of the New York Academy of Sciences Feb 4, 2022
Group decision making is an important, long-standing, and ubiquitous problem in all societies, where collective decisions must be made by a group of agents despite individual conflicting preferences. This has been a classical and active topic for res...
Uncertainty Humans Decision Making Artificial Intelligence
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Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning.

IEEE journal of biomedical and health informatics Feb 4, 2022
Medical instrument segmentation in 3D ultrasound is essential for image-guided intervention. However, to train a successful deep neural network for instrument segmentation, a large number of labeled images are required, which is expensive and time-co...
Research Design Ultrasonography Neural Networks, Computer Humans Supervised Machine Learning Image Processing, Computer-Assisted Uncertainty
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Incorporating uncertainty in learning to defer algorithms for safe computer-aided diagnosis.

Scientific reports Feb 2, 2022
Deep neural networks are increasingly being used for computer-aided diagnosis, but erroneous diagnoses can be extremely costly for patients. We propose a learning to defer with uncertainty (LDU) algorithm which identifies patients for whom diagnostic...
Deep Learning Uncertainty Diagnosis, Computer-Assisted Algorithms Diagnostic Errors Risk Factors Humans Neural Networks, Computer
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