vitaly schetinin
vitaly schetinin
Senior Lecturer in Machine Learnig, University of Bedfordshire
Verified email at - Homepage
Cited by
Cited by
A learning algorithm for evolving cascade neural networks
V Schetinin
Neural Processing Letters 17 (1), 21-31, 2003
Confident interpretation of Bayesian decision tree ensembles for clinical applications
V Schetinin, JE Fieldsend, D Partridge, TJ Coats, WJ Krzanowski, ...
IEEE Transactions on Information Technology in Biomedicine 11 (3), 312-319, 2007
The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns
V Schetinin, J Schult
IEEE Transactions on Information Technology in Biomedicine 8 (1), 28-35, 2004
Polynomial neural networks learnt to classify EEG signals
V Schetinin
arXiv preprint cs/0504058, 2005
Filament recognition in solar images with the neural network technique
VV Zharkova, V Schetinin
Solar Physics 228 (1), 137-148, 2005
Feature selection for Bayesian evaluation of trauma death risk
L Jakaite, V Schetinin
14th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics …, 2008
Comparing robustness of pairwise and multiclass neural-network systems for face recognition
J Uglov, L Jakaite, V Schetinin, C Maple
EURASIP Journal on Advances in Signal Processing 2008, 1-7, 2007
Confidence in classification: a bayesian approach
WJ Krzanowski, TC Bailey, D Partridge, JE Fieldsend, RM Everson, ...
Journal of Classification 23 (2), 199-220, 2006
Learning polynomial networks for classification of clinical electroencephalograms
V Schetinin, J Schult
Soft Computing 10 (4), 397-403, 2006
Feature extraction with GMDH-type neural networks for EEG-based person identification
V Schetinin, L Jakaite, N Nyah, D Novakovic, W Krzanowski
International journal of neural systems 28 (06), 1750064, 2018
Bayesian decision trees for predicting survival of patients: A study on the US national trauma data bank
V Schetinin, L Jakaite, J Jakaitis, W Krzanowski
Computer methods and programs in biomedicine 111 (3), 602-612, 2013
Classification of newborn EEG maturity with Bayesian averaging over decision trees
V Schetinin, L Jakaite
Expert Systems with Applications 39 (10), 9340-9347, 2012
A neural-network technique to learn concepts from electroencephalograms
V Schetinin, J Schult
Theory in Biosciences 124 (1), 41-53, 2005
Bayesian averaging over Decision Tree models for trauma severity scoring
V Schetinin, L Jakaite, W Krzanowski
Artificial intelligence in medicine 84, 139-145, 2018
Prediction of survival probabilities with Bayesian decision trees
V Schetinin, L Jakaite, WJ Krzanowski
Expert systems with applications 40 (14), 5466-5476, 2013
Bayesian assessment of newborn brain maturity from two-channel sleep electroencephalograms
L Jakaite, V Schetinin, C Maple
Computational and mathematical methods in medicine 2012, 2012
Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity
L Jakaite, V Schetinin, J Schult
2011 24th International Symposium on Computer-Based Medical Systems (CBMS), 1-6, 2011
A neural-network technique for recognition of filaments in solar images
VV Zharkova, V Schetinin
International Conference on Knowledge-Based and Intelligent Information and …, 2003
The Bayesian decision tree technique with a sweeping strategy
V Schetinin, JE Fieldsend, D Partridge, WJ Krzanowski, RM Everson, ...
arXiv preprint cs/0504042, 2005
Extraction of features from sleep EEG for Bayesian assessment of brain development
V Schetinin, L Jakaite
PloS one 12 (3), e0174027, 2017
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