AIMC Topic: Bayes Theorem

Clear Filters Showing 781 to 790 of 1826 articles

An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples.

Sensors (Basel, Switzerland) Mar 13, 2022
Current research endeavors in the application of artificial intelligence (AI) methods in the diagnosis of the COVID-19 disease has proven indispensable with very promising results. Despite these promising results, there are still limitations in real-...
Hematologic Tests COVID-19 Humans Bayes Theorem Artificial Intelligence Machine Learning
View on PubMed DOI

Incremental Ant-Miner Classifier for Online Big Data Analytics.

Sensors (Basel, Switzerland) Mar 13, 2022
Internet of Things (IoT) environments produce large amounts of data that are challenging to analyze. The most challenging aspect is reducing the quantity of consumed resources and time required to retrain a machine learning model as new data records ...
Humans Neural Networks, Computer Machine Learning Horses Data Science Bayes Theorem Algorithms Animals
View on PubMed DOI

Variable Stiffness Object Recognition with a CNN-Bayes Classifier on a Soft Gripper.

Soft robotics Mar 11, 2022
Soft grippers significantly widen the palpation capabilities of robots, ranging from soft to hard materials without the assistance of cameras. From a medical perspective, the detection of size and shape of hard inclusions concealed within soft three-...
Robotics Bayes Theorem Male Testicular Neoplasms Touch Humans Neural Networks, Computer
View on PubMed DOI

Bayesian modeling of human-AI complementarity.

Proceedings of the National Academy of Sciences of the United States of America Mar 11, 2022
SignificanceWith the increase in artificial intelligence in real-world applications, there is interest in building hybrid systems that take both human and machine predictions into account. Previous work has shown the benefits of separately combining ...
Artificial Intelligence Bayes Theorem Humans
View on PubMed DOI

A Developmental Cognitive Architecture for Trust and Theory of Mind in Humanoid Robots.

IEEE transactions on cybernetics Mar 11, 2022
As artificial systems are starting to be widely deployed in real-world settings, it becomes critical to provide them with the ability to discriminate between different informants and to learn from reliable sources. Moreover, equipping an artificial a...
Theory of Mind Child Cognition Robotics Bayes Theorem Humans Trust
View on PubMed DOI

Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses.

IEEE transactions on cybernetics Mar 11, 2022
Computer vision has shown promising potential in wearable robotics applications (e.g., human grasping target prediction and context understanding). However, in practice, the performance of computer vision algorithms is challenged by insufficient or b...
Hand Strength Robotics Humans Arm Bayes Theorem Upper Extremity Artificial Limbs
View on PubMed DOI

Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach.

Sensors (Basel, Switzerland) Mar 9, 2022
False alerts due to misconfigured or compromised intrusion detection systems (IDS) in industrial control system (ICS) networks can lead to severe economic and operational damage. However, research using deep learning to reduce false alerts often requ...
Computer Security Bayes Theorem Heuristics Humans Artificial Intelligence Machine Learning
View on PubMed DOI

Performance of the supervised learning algorithms in sex estimation of the proximal femur: A comparative study in contemporary Egyptian and Turkish samples.

Science & justice : journal of the Forensic Science Society Mar 8, 2022
Sex estimation standards are population specific however, we argue that machine learning techniques (ML) may enhance the biological sex determination on trans-population application. Linear discriminant analysis (LDA) versus nine ML including quadrat...
Algorithms Support Vector Machine Humans Femur Bayes Theorem Egypt
View on PubMed DOI

Challenges and Opportunities for Bayesian Statistics in Proteomics.

Journal of proteome research Mar 8, 2022
Proteomics is a data-rich science with complex experimental designs and an intricate measurement process. To obtain insights from the large data sets produced, statistical methods, including machine learning, are routinely applied. For a quantity of ...
Proteomics Bayes Theorem Machine Learning Probability Uncertainty
View on PubMed DOI

PEPPI: Whole-proteome Protein-protein Interaction Prediction through Structure and Sequence Similarity, Functional Association, and Machine Learning.

Journal of molecular biology Mar 5, 2022
Proteome-wide identification of protein-protein interactions is a formidable task which has yet to be sufficiently addressed by experimental methodologies. Many computational methods have been developed to predict proteome-wide interaction networks, ...
Protein Interaction Mapping SARS-CoV-2 Proteome Proteomics Software Humans Bayes Theorem COVID-19 Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals