AIMC Topic: Bayes Theorem

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Computer-Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine.

Computational intelligence and neuroscience Dec 23, 2021
Heart diseases are a leading cause of death worldwide, and they have sparked a lot of interest in the scientific community. Because of the high number of impulsive deaths associated with it, early detection is critical. This study proposes a boosting...
Support Vector Machine Bayes Theorem Heart Diseases Computers Diagnosis, Computer-Assisted Humans
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Using machine learning to model nontraditional spatial dependence in occupancy data.

Ecology Dec 22, 2021
Spatial models for occupancy data are used to estimate and map the true presence of a species, which may depend on biotic and abiotic factors as well as spatial autocorrelation. Traditionally researchers have accounted for spatial autocorrelation in ...
Spatial Analysis Machine Learning Bayes Theorem
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A Multimodal Emotional Human-Robot Interaction Architecture for Social Robots Engaged in Bidirectional Communication.

IEEE transactions on cybernetics Dec 22, 2021
For social robots to effectively engage in human-robot interaction (HRI), they need to be able to interpret human affective cues and to respond appropriately via display of their own emotional behavior. In this article, we present a novel multimodal ...
Humans Robotics Communication Bayes Theorem Emotions Social Interaction
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Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy.

Scientific reports Dec 21, 2021
Persistent infection with high-risk types Human Papillomavirus could cause diseases including cervical cancers and oropharyngeal cancers. Nonetheless, so far there is no effective pharmacotherapy for treating the infection from high-risk HPV types, a...
Humans Machine Learning Area Under Curve Bayes Theorem Antiviral Agents Viral Proteins Papillomavirus Infections Algorithms Papillomaviridae Drug Discovery
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Machine Learning of Medical Applications Involving Complicated Proteins and Genetic Measurements.

Computational intelligence and neuroscience Dec 21, 2021
. Breast cancer is the second greatest cause of cancer mortality among women, according to the World Health Organization (WHO), and one of the most frequent illnesses among all women today. The influence is not confined to industrialized nations but ...
Humans Artificial Intelligence Female Breast Neoplasms Machine Learning Algorithms Bayes Theorem
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SERS and advanced chemometrics - Utilization of Siamese neural network for picomolar identification of beta-lactam antibiotics resistance gene fragment.

Analytica chimica acta Dec 20, 2021
The enormous development and expansion of antibiotic-resistant bacterial strains impel the intensive search for new methods for fast and reliable detection of antibiotic susceptibility markers. Here, we combined DNA-targeted surface functionalization...
beta-Lactams Chemometrics Anti-Bacterial Agents Bayes Theorem Neural Networks, Computer
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Hyperparameter Optimization Techniques for Designing Software Sensors Based on Artificial Neural Networks.

Sensors (Basel, Switzerland) Dec 17, 2021
Software sensors are playing an increasingly important role in current vehicle development. Such soft sensors can be based on both physical modeling and data-based modeling. Data-driven modeling is based on building a model purely on captured data wh...
Bayes Theorem Neural Networks, Computer Machine Learning Software Algorithms
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Fair comparisons: Life course selection bias and the effect of father absence on US children.

Advances in life course research Dec 16, 2021
Studies have shown that father absence in opposite-gender couples has detrimental effects on children's wellbeing, net of selection bias. However, life course informed research suggests that the problem of selection bias may be more complex than curr...
Fathers Child Adolescent Father-Child Relations Life Change Events Humans Bayes Theorem Child, Preschool Selection Bias Male
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A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities.

Sensors (Basel, Switzerland) Dec 16, 2021
Traffic accidents are of worldwide concern, as they are one of the leading causes of death globally. One policy designed to cope with them is the design and deployment of road safety systems. These aim to predict crashes based on historical records, ...
Cities Bibliometrics Machine Learning Bayes Theorem Colombia
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Detection of child depression using machine learning methods.

PloS one Dec 16, 2021
BACKGROUND: Mental health problems, such as depression in children have far-reaching negative effects on child, family and society as whole. It is necessary to identify the reasons that contribute to this mental illness. Detecting the appropriate sig...
Humans Child, Preschool Child Depression Machine Learning Australia Bayes Theorem Adolescent Algorithms
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