AIMC Topic: Bayes Theorem

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Climate-induced thermoregulatory responses in a non-linear thermal environment: investigating the inter-dependencies using a facile artificial neural network-based predictive strategy.

International journal of occupational safety and ergonomics : JOSE Mar 9, 2020
. Given the burgeoning impacts of climatic variability on human health, suitable computational paradigms are used to explore the subsequent ergonomic repercussions. The artificial neural network (ANN), in particular, exhibits near-accurate input-outp...
Bayes Theorem Humans Sweating Neural Networks, Computer Algorithms Body Temperature Regulation
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Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms.

Journal of healthcare engineering Mar 9, 2020
Chronic diseases represent a serious threat to public health across the world. It is estimated at about 60% of all deaths worldwide and approximately 43% of the global burden of chronic diseases. Thus, the analysis of the healthcare data has helped h...
Bayes Theorem Public Health Algorithms Support Vector Machine United States Humans Cluster Analysis Female Mass Screening Machine Learning Chronic Disease Male
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NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2020
Spatial navigation depends on the combination of multiple sensory cues from idiothetic and allothetic sources. The computational mechanisms of mammalian brains in integrating different sensory modalities under uncertainty for navigation is enlighteni...
Brain Bayes Theorem Cues Spatial Navigation Animals Models, Neurological Robotics
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Constructing large-scale cortical brain networks from scalp EEG with Bayesian nonnegative matrix factorization.

Neural networks : the official journal of the International Neural Network Society Mar 3, 2020
A large-scale network provides a high hierarchical level for understanding the adaptive adjustment of the human brain during cognition processes. Since high spatial resolution is required, most of the related works are based on functional magnetic re...
Cerebral Cortex Neural Pathways Humans Models, Neurological Neural Networks, Computer Bayes Theorem Electroencephalography
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Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?

Journal of chemical information and modeling Mar 3, 2020
In recent years, protein-ligand interaction scoring functions derived through machine-learning are repeatedly reported to outperform conventional scoring functions. However, several published studies have questioned that the superior performance of m...
Proteins Bayes Theorem Ligands Neural Networks, Computer Machine Learning Algorithms
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Pragmatics, Theory of Mind and executive functions in schizophrenia: Disentangling the puzzle using machine learning.

PloS one Mar 3, 2020
OBJECTIVE: Schizophrenia is associated with a severe impairment in the communicative-pragmatic domain. Recent research has tried to disentangle the relationship between communicative impairment and other domains usually impaired in schizophrenia, i.e...
Linguistics Machine Learning Schizophrenic Psychology Female Schizophrenia Humans Middle Aged Bayes Theorem Theory of Mind Young Adult Neuropsychological Tests Memory, Short-Term Executive Function Case-Control Studies Models, Psychological Adult Social Communication Disorder Cognition Communication Male
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Viscosity Prediction of Lubricants by a General Feed-Forward Neural Network.

Journal of chemical information and modeling Mar 2, 2020
Modern industrial lubricants are often blended with an assortment of chemical additives to improve the performance of the base stock. Machine learning-based predictive models allow fast and veracious derivation of material properties and facilitate n...
Neural Networks, Computer Bayes Theorem Viscosity Lubricants
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Deep learning uncertainty and confidence calibration for the five-class polyp classification from colonoscopy.

Medical image analysis Feb 28, 2020
There are two challenges associated with the interpretability of deep learning models in medical image analysis applications that need to be addressed: confidence calibration and classification uncertainty. Confidence calibration associates the class...
Humans Uncertainty Reproducibility of Results Deep Learning Colonoscopy Bayes Theorem Calibration
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A Scalable Smartwatch-Based Medication Intake Detection System Using Distributed Machine Learning.

Journal of medical systems Feb 28, 2020
Poor Medication adherence causes significant economic impact resulting in hospital readmission, hospital visits and other healthcare costs. The authors developed a smartwatch application and a cloud based data pipeline for developing a user-friendly ...
Humans Machine Learning Accelerometry Wearable Electronic Devices Cloud Computing Medication Adherence Smartphone Mobile Applications Bayes Theorem
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Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes.

Genetics, selection, evolution : GSE Feb 24, 2020
BACKGROUND: Transforming large amounts of genomic data into valuable knowledge for predicting complex traits has been an important challenge for animal and plant breeders. Prediction of complex traits has not escaped the current excitement on machine...
Quantitative Trait, Heritable Multifactorial Inheritance Models, Genetic Bayes Theorem Animals Deep Learning Cattle Genomics Polymorphism, Single Nucleotide Genotype Phenotype
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