| A learning algorithm for evolving cascade neural networks V Schetinin Neural Processing Letters 17 (1), 21-31, 2003 | 57 | 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 | 46 | 2007 |
| Polynomial neural networks learnt to classify EEG signals V Schetinin arXiv preprint cs/0504058, 2005 | 29 | 2005 |
| 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 | 29 | 2004 |
| Filament recognition in solar images with the neural network technique VV Zharkova, V Schetinin Solar Physics 228 (1), 137-148, 2005 | 28 | 2005 |
| Learning polynomial networks for classification of clinical electroencephalograms V Schetinin, J Schult Soft Computing 10 (4), 397-403, 2006 | 22 | 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 | 21 | 2018 |
| Feature selection for Bayesian evaluation of trauma death risk L Jakaite, V Schetinin 14th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics …, 2008 | 21 | 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 | 21 | 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 | 21 | 2006 |
| A neural-network technique to learn concepts from electroencephalograms V Schetinin, J Schult Theory in Biosciences 124 (1), 41-53, 2005 | 19 | 2005 |
| 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 | 18 | 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 | 18 | 2012 |
| 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 | 17 | 2003 |
| Prediction of survival probabilities with Bayesian decision trees V Schetinin, L Jakaite, WJ Krzanowski Expert systems with applications 40 (14), 5466-5476, 2013 | 16 | 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 | 16 | 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 | 16 | 2011 |
| The Bayesian decision tree technique with a sweeping strategy V Schetinin, JE Fieldsend, D Partridge, WJ Krzanowski, RM Everson, ... arXiv preprint cs/0504042, 2005 | 16 | 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 | 15 | 2018 |
| Extraction of features from sleep EEG for Bayesian assessment of brain development V Schetinin, L Jakaite PloS one 12 (3), e0174027, 2017 | 15 | 2017 |
Livija JakaiteUniversity of BedfordshireVerified email at beds.ac.uk
