Vitaly Schetinin

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 9

Top Topics

Organ Segmentation

Person Identification

Bayesian Learning

Top Venues

Artif. Intell. Medicine

Integr. Comput. Aided Eng.

Int. J. Medical Informatics

Publications

Stanislav Selitskiy, Chihiro Inoue, Vitaly Schetinin, Livija Jakaite
The Batch Primary Components Transformer and Auto-Plasticity Learning Linear Units Architecture: Synthetic Image Generation Case. SNAMS (2023)
Livia Jakaite, Vitaly Schetinin
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction. Artif. Intell. Medicine 143 (2023)
Rejwan Bin Sulaiman, Vitaly Schetinin, Paul Sant
Review of Machine Learning Approach on Credit Card Fraud Detection. Hum. Centric Intell. Syst. 2 (1-2) (2022)
Rejwan Bin Sulaiman, Vitaly Schetinin
Deep Neural-Network Prediction for Study of Informational Efficiency. IntelliSys (2) (2021)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring. Int. J. Medical Informatics 112 (2018)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Bayesian averaging over Decision Tree models for trauma severity scoring. Artif. Intell. Medicine 84 (2018)
Vitaly Schetinin, Livia Jakaite, Ndifreke Nyah, Dusica Novakovic, Wojtek J. Krzanowski
Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification. Int. J. Neural Syst. 28 (6) (2018)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Bayesian learning of models for estimating uncertainty in alert systems: Application to air traffic conflict avoidance. Integr. Comput. Aided Eng. 25 (3) (2018)
Ndifreke Nyah, Livia Jakaite, Vitaly Schetinin, Paul Sant, Amar Aggoun
Evolving polynomial neural networks for detecting abnormal patterns. IEEE Conf. on Intelligent Systems (2016)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Bayesian Predictive Modelling: Application to Aircraft Short-Term Conflict Alert System. BMA@UAI (2015)
Adnan Qureshi, Vitaly Schetinin
Computer-Aided Segmentation and Estimation of Indices in Brain CT Scans. MIUA (2014)
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
Prediction of survival probabilities with Bayesian Decision Trees. Expert Syst. Appl. 40 (14) (2013)
Vitaly Schetinin, Livia Jakaite, Janis Jakaitis, Wojtek J. Krzanowski
Bayesian Decision Trees for predicting survival of patients: A study on the US National Trauma Data Bank. Comput. Methods Programs Biomed. 111 (3) (2013)
Livia Jakaite, Vitaly Schetinin, Carsten Maple
Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms. Comput. Math. Methods Medicine 2012 (2012)
Vitaly Schetinin, Livia Jakaite
Classification of newborn EEG maturity with Bayesian averaging over decision trees. Expert Syst. Appl. 39 (10) (2012)
Livia Jakaite, Vitaly Schetinin, Joachim Schult
Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity. CBMS (2011)
Vitaly Schetinin, Livia Jakaite, Joachim Schult
Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation. CBMS (2011)
Livia Jakaite, Vitaly Schetinin, Carsten Maple
Feature Importance in Bayesian Assessment of Newborn Brain Maturity from EEG CoRR (2010)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems CoRR (2010)
Vitaly Schetinin, Dayou Li, Carsten Maple
An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data. ICNC (1) (2008)
Vitaly Schetinin, Dayou Li, Carsten Maple
An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data CoRR (2008)
Jegor Uglov, Livia Jakaite, Vitaly Schetinin, Carsten Maple
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition. EURASIP J. Adv. Signal Process. 2008 (2008)
Livia Jakaite, Vitaly Schetinin
Feature Selection for Bayesian Evaluation of Trauma Death Risk CoRR (2008)
Jegor Uglov, Vitaly Schetinin, Carsten Maple
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition CoRR (2007)
Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. Neural Comput. Appl. 16 (1) (2007)
Vitaly Schetinin, Wojtek J. Krzanowski, Carsten Maple
The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme. CBMS (2007)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. IEEE Trans. Inf. Technol. Biomed. 11 (3) (2007)
Vitaly Schetinin, Carsten Maple
A Bayesian Model Averaging Methodology for Detecting EEG Artifacts. DSP (2007)
Vitaly Schetinin, Joachim Schult
Learning polynomial networks for classification of clinical electroencephalograms. Soft Comput. 10 (4) (2006)
Derek Partridge, Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Adolfo Hernandez, Wojtek J. Krzanowski, Vitaly Schetinin
Classification with Confidence for Critical Systems. SSS (2006)
Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin, Adolfo Hernandez
Optimising Data-Driven Safety Related Systems. SSS (2006)
Vitaly Schetinin, Valentina V. Zharkova, Sergei I. Zharkov
Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences. KES (3) (2006)
Wojtek J. Krzanowski, Trevor C. Bailey, Derek Partridge, Jonathan E. Fieldsend, Richard M. Everson, Vitaly Schetinin
Confidence in Classification: A Bayesian Approach. J. Classif. 23 (2) (2006)
Derek Partridge, Vitaly Schetinin, Dayou Li, Timothy J. Coats, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey
Interpretability of Bayesian Decision Trees Induced from Trauma Data. ICAISC (2006)
Carsten Maple, Vitaly Schetinin
Using A Bayesian Averaging Model for Estimating the Reliability of Decisions in Multimodal Biometrics. ARES (2006)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. J. Math. Model. Algorithms 5 (4) (2006)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data CoRR (2005)
Vitaly Schetinin, Joachim Schult, Burkhart Scheidt, Valery Kuriakin
Learning Multi-Class Neural-Network Models from Electroencephalograms CoRR (2005)
Vitaly Schetinin
Learning from Web: Review of Approaches CoRR (2005)
Vitaly Schetinin
A Learning Algorithm for Evolving Cascade Neural Networks CoRR (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique CoRR (2005)
Vitaly Schetinin
Polynomial Neural Networks Learnt to Classify EEG Signals CoRR (2005)
Vitaly Schetinin, Joachim Schult, Anatoly Brazhnikov
Neural-Network Techniques for Visual Mining Clinical Electroencephalograms CoRR (2005)
Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles CoRR (2005)
Vitaly Schetinin, Joachim Schult
A Neural-Network Technique to Learn Concepts from Electroencephalograms CoRR (2005)
Vitaly Schetinin, Joachim Schult
The Combined Technique for Detection of Artifacts in Clinical Electroencephalograms of Sleeping Newborns CoRR (2005)
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernandez
The Bayesian Decision Tree Technique with a Sweeping Strategy CoRR (2005)
Vitaly Schetinin, A. Kostunin
Self-Organization of the Neuron Collective of Optimal Complexity CoRR (2005)
Vitaly Schetinin, Joachim Schult
Learning Polynomial Networks for Classification of Clinical Electroencephalograms CoRR (2005)
Vitaly Schetinin
Self-Organizing Multilayered Neural Networks of Optimal Complexity CoRR (2005)
Vitaly Schetinin, Joachim Schult
A neural-network technique to learn concepts from electroencephalograms. Theory Biosci. 124 (1) (2005)
Vitaly Schetinin
An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms CoRR (2005)
Valentina V. Zharkova, Vitaly Schetinin
A Neural-Network Technique for Recognition of Filaments in Solar Images CoRR (2005)
Vitaly Schetinin, Anatoly Brazhnikov
Diagnostic Rule Extraction Using Neural Networks CoRR (2005)
Vitaly Schetinin
A Neural Network Decision Tree for Learning Concepts from EEG Data CoRR (2005)
Vitaly Schetinin, Joachim Schult
The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns. IEEE Trans. Inf. Technol. Biomed. 8 (1) (2004)
Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernandez
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. IDEAL (2004)
Valentina V. Zharkova, Vitaly Schetinin
A Neural-Network Technique for Recognition of Filaments in Solar Images. KES (2003)
Victor Abrukov, Vitaly Schetinin, Pavel Deltsov
Using Artificial Neural Networks for Combustion Interferometry. KES (2003)
Valentina V. Zharkova, Vitaly Schetinin
A recognition of filaments in solar images with an artificial neural network. ESANN (2003)
Vitaly Schetinin, Joachim Schult, Burkhart Scheidt, Valery Kuriakin
Learning Multi-class Neural-Network Models from Electroencephalograms. KES (2003)
Vitaly Schetinin
A Learning Algorithm for Evolving Cascade Neural Networks. Neural Process. Lett. 17 (1) (2003)