AIMC Topic: Normal Distribution

Clear Filters Showing 21 to 30 of 278 articles

Learning active subspaces and discovering important features with Gaussian radial basis functions neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 29, 2024
Providing a model that achieves a strong predictive performance and is simultaneously interpretable by humans is one of the most difficult challenges in machine learning research due to the conflicting nature of these two objectives. To address this ...
Humans Neural Networks, Computer Normal Distribution Algorithms Deep Learning Machine Learning
View on PubMed DOI

Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G.

Medical & biological engineering & computing Apr 23, 2024
Diabetic retinopathy disease contains lesions (e.g., exudates, hemorrhages, and microaneurysms) that are minute to the naked eye. Determining the lesions at pixel level poses a challenge as each pixel does not reflect any semantic entities. Furthermo...
Humans Deep Learning Image Processing, Computer-Assisted Algorithms Neural Networks, Computer Photography Diabetic Retinopathy Normal Distribution Image Interpretation, Computer-Assisted Fundus Oculi
View on PubMed DOI

Frequency compensated diffusion model for real-scene dehazing.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2024
Due to distribution shift, deep learning based methods for image dehazing suffer from performance degradation when applied to real-world hazy images. In this paper, this study considers a dehazing framework based on conditional diffusion models for i...
Normal Distribution Algorithms Image Processing, Computer-Assisted Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

An Unsupervised Machine Learning Approach for the Automatic Construction of Local Chemical Descriptors.

Journal of chemical information and modeling Mar 18, 2024
Condensing the many physical variables defining a chemical system into a fixed-size array poses a significant challenge in the development of chemical Machine Learning (ML). Atom Centered Symmetry Functions (ACSFs) offer an intuitive featurization ap...
Unsupervised Machine Learning Molecular Dynamics Simulation Normal Distribution Automation
View on PubMed DOI

Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 20, 2023
Modern cancer diagnostics involves extracting tissue specimens from suspicious areas and conducting histotechnical procedures to prepare a digitized glass slide, called Whole Slide Image (WSI), for further examination. These procedures frequently int...
Uncertainty Staining and Labeling Neural Networks, Computer Normal Distribution Artifacts
View on PubMed DOI

Pumping machine fault diagnosis based on fused RDC-RBF.

PloS one Sep 25, 2023
At present, the fault diagnosis of pumping units in major oil fields in China is time-consuming and inefficient, and there is no universal problem for high requirements of hardware resources. In this study, a fault fusion diagnosis method of pumping ...
Cluster Analysis Normal Distribution Neurons Algorithms Neural Networks, Computer Humans
View on PubMed DOI

Statistically unbiased prediction enables accurate denoising of voltage imaging data.

Nature methods Sep 18, 2023
Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data. SUPPORT is based on the insight that a pix...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Neural Networks, Computer Microscopy Normal Distribution
View on PubMed DOI

Bidirectionally self-normalizing neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2023
The problem of vanishing and exploding gradients has been a long-standing obstacle that hinders the effective training of neural networks. Despite various tricks and techniques that have been employed to alleviate the problem in practice, there still...
Normal Distribution Neural Networks, Computer
View on PubMed DOI

Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States.

IEEE journal of biomedical and health informatics Aug 7, 2023
The widespread popularity of Machine Learning (ML) models in healthcare solutions has increased the demand for their interpretability and accountability. In this paper, we propose the Physiologically-Informed Gaussian Process (PhGP) classification mo...
Normal Distribution Bayes Theorem Benchmarking Emotions Machine Learning
View on PubMed DOI

Using Feature Engineering and Principal Component Analysis for Monitoring Spindle Speed Change Based on Kullback-Leibler Divergence with a Gaussian Mixture Model.

Sensors (Basel, Switzerland) Jul 5, 2023
Machining is a crucial constituent of the manufacturing industry, which has begun to transition from precision machinery to smart machinery. Particularly, the introduction of artificial intelligence into computer numerically controlled (CNC) machine ...
Algorithms Artificial Intelligence Principal Component Analysis Normal Distribution
View on PubMed DOI
Popular Topics
Recent Journals