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Extraction of features from sleep EEG for Bayesian assessment of brain development

PloS one, 2017-03, Vol.12 (3), p.e0174027-e0174027

2017

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Deep learning for early detection of pathological changes in X-ray bone microstructures: case of osteoarthritis

Scientific reports, 2021-01, Vol.11 (1), p.2294-2294, Article 2294

2021

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Letter to the Editor: Gratitude and Good Outcomes: Rediscovering Positivity and Perspective in an Uncertain Time

World journal of surgery, 2022-04, Vol.46 (4), p.967-968

2022

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Review of Machine Learning Approach on Credit Card Fraud Detection

Human-Centric Intelligent Systems, 2022-06, Vol.2 (1-2), p.55-68

2022

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Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction

Artificial intelligence in medicine, 2023-09, Vol.143, p.102634-102634, Article 102634

2023

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Prediction of survival probabilities with Bayesian Decision Trees

Expert systems with applications, 2013-10, Vol.40 (14), p.5466-5476

2013

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Bayesian Decision Trees for predicting survival of patients: A study on the US National Trauma Data Bank

Computer methods and programs in biomedicine, 2013-09, Vol.111 (3), p.602-612

2013

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Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms

Computational and mathematical methods in medicine, 2012-01, Vol.2012, p.629654-7

2012

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Importance of EEG features in active and quiet sleep for assessment of newborn brain maturation at neonatal centres

Medical news of the North Caucasus, 2017, Vol.12 (3)

2017

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A learning algorithm for Evolving Cascade Neural Networks

Neural processing letters, 2003-02, Vol.17 (1), p.21-31

SCHETININ, Vitaly

2003

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3D reconstruction in surgery of hydatid cyst of the liver

Medical news of the North Caucasus, 2019, Vol.14 (1)

2019

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Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences

Knowledge-Based Intelligent Information and Engineering Systems, 2006, p.523-532

2006

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Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation

2011 24th International Symposium on Computer-Based Medical Systems (CBMS), 2011, p.1-6

2011

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Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity

2011 24th International Symposium on Computer-Based Medical Systems (CBMS), 2011, p.1-6

2011

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A neural-network technique to learn concepts from electroencephalograms

Theory in biosciences = Theorie in den Biowissenschaften, 2005-08, Vol.124 (1), p.41-53

2005

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Deep Neural-Network Prediction for Study of Informational Efficiency

Intelligent Systems and Applications, 2021, Vol.295, p.460-467

Arai, Kohei

2021

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Representing classifier confidence in the safety critical domain : an illustration from mortality prediction in trauma cases

Neural computing & applications, 2007-01, Vol.16 (1), p.1-10

2007

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Interpretability of Bayesian Decision Trees Induced from Trauma Data

Lecture notes in computer science, 2006, p.972-981

2006

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Confidence in classification : A bayesian approach

Journal of classification, 2006-09, Vol.23 (2), p.199-220

2006

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The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme

Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007, p.121-126

2007

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Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles

Intelligent Data Engineering and Automated Learning – IDEAL 2004, 2004, p.726-732

2004

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Learning polynomial neural networks of a near-optimal connectivity for detecting abnormal patterns in biometric data

2016 SAI Computing Conference (SAI), 2016, p.409-413

2016

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Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique

Journal of mathematical modelling and algorithms, 2006-12, Vol.5 (4), p.397-416

2006

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A Bayesian Model Averaging Methodology for Detecting EEG Artifacts

2007 15th International Conference on Digital Signal Processing, 2007, p.499-502

2007

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The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns

IEEE transactions on information technology in biomedicine, 2004-03, Vol.8 (1), p.28-35

2004

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Extraction of features from sleep EEG for Bayesian assessment of brain development

Deep learning for early detection of pathological changes in X-ray bone microstructures: case of osteoarthritis

Letter to the Editor: Gratitude and Good Outcomes: Rediscovering Positivity and Perspective in an Uncertain Time

Review of Machine Learning Approach on Credit Card Fraud Detection

Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction

Prediction of survival probabilities with Bayesian Decision Trees

Bayesian Decision Trees for predicting survival of patients: A study on the US National Trauma Data Bank

Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms

Importance of EEG features in active and quiet sleep for assessment of newborn brain maturation at neonatal centres

A learning algorithm for Evolving Cascade Neural Networks

3D reconstruction in surgery of hydatid cyst of the liver

Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences

Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation

Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity

A neural-network technique to learn concepts from electroencephalograms

Deep Neural-Network Prediction for Study of Informational Efficiency

Representing classifier confidence in the safety critical domain : an illustration from mortality prediction in trauma cases

Interpretability of Bayesian Decision Trees Induced from Trauma Data

Confidence in classification : A bayesian approach

The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme

Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles

Learning polynomial neural networks of a near-optimal connectivity for detecting abnormal patterns in biometric data

Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique

A Bayesian Model Averaging Methodology for Detecting EEG Artifacts

The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns

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