AIMC Topic: Bayes Theorem

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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...
Cues Spatial Navigation Robotics Brain Bayes Theorem Animals Models, Neurological
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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...
Electroencephalography Cerebral Cortex Neural Pathways Neural Networks, Computer Models, Neurological Bayes Theorem Humans
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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...
Algorithms Neural Networks, Computer Proteins Machine Learning Bayes Theorem Ligands
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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...
Schizophrenic Psychology Theory of Mind Male Executive Function Young Adult Middle Aged Memory, Short-Term Humans Neuropsychological Tests Adult Case-Control Studies Cognition Social Communication Disorder Schizophrenia Machine Learning Models, Psychological Communication Bayes Theorem Female Linguistics
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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...
Viscosity Lubricants Neural Networks, Computer Bayes Theorem
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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...
Uncertainty Colonoscopy Humans Bayes Theorem Deep Learning Reproducibility of Results 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 ...
Mobile Applications Bayes Theorem Accelerometry Cloud Computing Wearable Electronic Devices Medication Adherence Smartphone Humans Machine Learning
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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...
Animals Deep Learning Quantitative Trait, Heritable Phenotype Multifactorial Inheritance Cattle Genotype Genomics Models, Genetic Polymorphism, Single Nucleotide Bayes Theorem
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Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques.

Journal of medical systems Feb 17, 2020
Stress is one of the biggest problems in modern society. It may not be possible for people to perceive if they are under high stress or not. It is important to detect stress early and unobtrusively. In this context, stress detection can be considered...
Female Reproducibility of Results Young Adult Humans Machine Learning Algorithms Stress, Psychological Time Factors Smartphone Bayes Theorem Adult Male Adolescent Accelerometry Social Environment Inositol
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A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.

European journal of radiology Feb 13, 2020
PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining after surgery. In this study, a model to precisely immunohistochemical...
Bayes Theorem Female Image Interpretation, Computer-Assisted Aged Pituitary Gland Young Adult Immunohistochemistry Magnetic Resonance Imaging Preoperative Care Middle Aged Humans Pituitary Neoplasms Adolescent Machine Learning Adenoma Adult Retrospective Studies Male
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