Vitaly Schetinin

Orcid: 0000-0003-1826-0153

According to our database1, Vitaly Schetinin authored at least 57 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction.
Artif. Intell. Medicine, September, 2023

The Batch Primary Components Transformer and Auto-Plasticity Learning Linear Units Architecture: Synthetic Image Generation Case.
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023

2022
Review of Machine Learning Approach on Credit Card Fraud Detection.
Hum. Centric Intell. Syst., June, 2022

2021
Deep Neural-Network Prediction for Study of Informational Efficiency.
Proceedings of the Intelligent Systems and Applications, 2021

2020
Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets.
Proceedings of the Deep Biometrics, 2020

2018
Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification.
Int. J. Neural Syst., 2018

Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring.
Int. J. Medical Informatics, 2018

Bayesian learning of models for estimating uncertainty in alert systems: Application to air traffic conflict avoidance.
Integr. Comput. Aided Eng., 2018

Bayesian averaging over Decision Tree models for trauma severity scoring.
Artif. Intell. Medicine, 2018

2016
Evolving polynomial neural networks for detecting abnormal patterns.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

2015
Bayesian Predictive Modelling: Application to Aircraft Short-Term Conflict Alert System.
Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

2014
Computer-Aided Segmentation and Estimation of Indices in Brain CT Scans.
Proceedings of the Medical Image Understanding and Analysis, 2014

2013
Prediction of survival probabilities with Bayesian Decision Trees.
Expert Syst. Appl., 2013

Bayesian Decision Trees for predicting survival of patients: A study on the US National Trauma Data Bank.
Comput. Methods Programs Biomed., 2013

2012
Classification of newborn EEG maturity with Bayesian averaging over decision trees.
Expert Syst. Appl., 2012

Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms.
Comput. Math. Methods Medicine, 2012

2011
Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems
CoRR, 2010

Feature Importance in Bayesian Assessment of Newborn Brain Maturity from EEG
CoRR, 2010

2008
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition.
EURASIP J. Adv. Signal Process., 2008

Feature Selection for Bayesian Evaluation of Trauma Death Risk
CoRR, 2008

An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms.
Proceedings of the Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images., 2007

Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data.
Proceedings of the Perception-based Data Mining and Decision Making in Economics and Finance, 2007

Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications.
IEEE Trans. Inf. Technol. Biomed., 2007

Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases.
Neural Comput. Appl., 2007

Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition
CoRR, 2007

A Bayesian Model Averaging Methodology for Detecting EEG Artifacts.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

2006
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006

Learning polynomial networks for classification of clinical electroencephalograms.
Soft Comput., 2006

Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique.
J. Math. Model. Algorithms, 2006

Confidence in Classification: A Bayesian Approach.
J. Classif., 2006

Classification with Confidence for Critical Systems.
Proceedings of the Developments in Risk-based Approaches to Safety, 2006

Optimising Data-Driven Safety Related Systems.
Proceedings of the Developments in Risk-based Approaches to Safety, 2006

Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Interpretability of Bayesian Decision Trees Induced from Trauma Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Using A Bayesian Averaging Model for Estimating the Reliability of Decisions in Multimodal Biometrics.
Proceedings of the The First International Conference on Availability, 2006

2005
A neural-network technique to learn concepts from electroencephalograms.
Theory Biosci., 2005

Self-Organization of the Neuron Collective of Optimal Complexity
CoRR, 2005

An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms
CoRR, 2005

Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data
CoRR, 2005

Neural-Network Techniques for Visual Mining Clinical Electroencephalograms
CoRR, 2005

A Neural Network Decision Tree for Learning Concepts from EEG Data
CoRR, 2005

Polynomial Neural Networks Learnt to Classify EEG Signals
CoRR, 2005

Diagnostic Rule Extraction Using Neural Networks
CoRR, 2005

Self-Organizing Multilayered Neural Networks of Optimal Complexity
CoRR, 2005

Learning from Web: Review of Approaches
CoRR, 2005

The Bayesian Decision Tree Technique with a Sweeping Strategy
CoRR, 2005

2004
The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns.
IEEE Trans. Inf. Technol. Biomed., 2004

Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003
A Learning Algorithm for Evolving Cascade Neural Networks.
Neural Process. Lett., 2003

A Neural-Network Technique for Recognition of Filaments in Solar Images.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Learning Multi-class Neural-Network Models from Electroencephalograms.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Using Artificial Neural Networks for Combustion Interferometry.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

A recognition of filaments in solar images with an artificial neural network.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003


  Loading...