AIMC Topic: Bayes Theorem

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Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction.

Computer methods and programs in biomedicine Aug 5, 2023
BACKGROUND AND OBJECTIVE: Exposure to solar ultraviolet (UV) radiation can cause malignant keratinocyte cancer and eye disease. Developing a user-friendly, portable, real-time solar UV alert system especially or wearable electronic mobile devices can...
Australia Bayes Theorem Solar Energy Neural Networks, Computer Artificial Intelligence
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Enhancing robustness, precision, and speed of traction force microscopy with machine learning.

Biophysical journal Jul 31, 2023
Traction patterns of adherent cells provide important information on their interaction with the environment, cell migration, or tissue patterns and morphogenesis. Traction force microscopy is a method aimed at revealing these traction patterns for ad...
Machine Learning Traction Bayes Theorem Cell Movement Microscopy, Atomic Force
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deepGBLUP: joint deep learning networks and GBLUP framework for accurate genomic prediction of complex traits in Korean native cattle.

Genetics, selection, evolution : GSE Jul 31, 2023
BACKGROUND: Genomic prediction has become widespread as a valuable tool to estimate genetic merit in animal and plant breeding. Here we develop a novel genomic prediction algorithm, called deepGBLUP, which integrates deep learning networks and a geno...
Republic of Korea Multifactorial Inheritance Models, Genetic Animals Polymorphism, Single Nucleotide Bayes Theorem Phenotype Cattle Quantitative Trait Loci Genomics Genotype Deep Learning
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Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability.

Journal of chemical information and modeling Jul 27, 2023
Gaussian process (GP) is a Bayesian model which provides several advantages for regression tasks in machine learning such as reliable quantitation of uncertainty and improved interpretability. Their adoption has been precluded by their excessive comp...
Amino Acid Sequence Uncertainty Algorithms Deep Learning Humans Bayes Theorem
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Machine learning-based Sr isoscape of southern Sardinia: A tool for bio-geographic studies at the Phoenician-Punic site of Nora.

PloS one Jul 19, 2023
Since prehistoric times, the island of Sardinia-in the western Mediterranean-has played a leading role in the dynamics of human population and mobility, in the circulation of raw materials and artefacts, idioms and customs, of technologies and ideas ...
Italy Animals Humans Strontium Isotopes Machine Learning Bayes Theorem Sheep
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Analyzing of optimal classifier selection for EEG signals of depression patients based on intelligent fuzzy decision support systems.

Scientific reports Jul 14, 2023
Electroencephalograms (EEG) is used to assess patients' clinical records of depression (EEG). The disorder of human thinking is a very complex problem caused by heavy-duty in daily life. We need some future and optimal classifier selection by using d...
Artificial Intelligence Algorithms Depression Humans Bayes Theorem Electroencephalography
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Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.

Scientific reports Jul 13, 2023
Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 patients. The prognostic performances of the machine learning (ML)-b...
Humans Artificial Intelligence Machine Learning Tomography, X-Ray Computed Algorithms Aged Retrospective Studies Pandemics COVID-19 Adult Middle Aged Bayes Theorem
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Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Probabilistic topic models are considered as an effective framework for text analysis that uncovers the main topics in an unlabeled set of documents. However, the inferred topics by traditional topic models are often unclear and not easy to interpret...
Bayes Theorem Semantics Pattern Recognition, Automated Neural Networks, Computer Language
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Experimental drugs in clinical trials for COPD: artificial intelligence via machine learning approach to predict the successful advance from early-stage development to approval.

Expert opinion on investigational drugs Jul 6, 2023
INTRODUCTION: Therapeutic advances in drug therapy of chronic obstructive pulmonary disease (COPD) really effective in suppressing the pathological processes underlying the disease deterioration are still needed. Artificial Intelligence (AI) via Mach...
Bayes Theorem Humans Adrenergic beta-2 Receptor Agonists Administration, Inhalation Muscarinic Antagonists Machine Learning Artificial Intelligence Bronchodilator Agents Pulmonary Disease, Chronic Obstructive
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BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability.

Medical image analysis Jul 5, 2023
Due to the cross-domain distribution shift aroused from diverse medical imaging systems, many deep learning segmentation methods fail to perform well on unseen data, which limits their real-world applicability. Recent works have shown the benefits of...
Heart Male Image Processing, Computer-Assisted Prostate Pelvis Bayes Theorem Humans Neural Networks, Computer
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