| Review of machine learning approach on credit card fraud detection R Bin Sulaiman, V Schetinin, P Sant Human-Centric Intelligent Systems 2 (1), 55-68, 2022 | 135 | 2022 |
| 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 | 89 | 2007 |
| A learning algorithm for evolving cascade neural networks V Schetinin Neural Processing Letters 17, 21-31, 2003 | 71 | 2003 |
| Deep learning for early detection of pathological changes in x-ray bone microstructures: case of osteoarthritis L Jakaite, V Schetinin, J Hladůvka, S Minaev, A Ambia, W Krzanowski Scientific Reports 11 (1), 2294, 2021 | 50 | 2021 |
| Bayesian averaging over decision tree models for trauma severity scoring V Schetinin, L Jakaite, W Krzanowski Artificial Intelligence in Medicine 84, 139-145, 2018 | 48 | 2018 |
| 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 | 43 | 2018 |
| Bayesian Assessment of Newborn Brain Maturity from Two‐Channel Sleep Electroencephalograms L Jakaite, V Schetinin, C Maple Computational and Mathematical Methods in Medicine 2012 (1), 629654, 2012 | 40 | 2012 |
| Filament recognition in solar images with the neural network technique VV Zharkova, V Schetinin Solar Physics 228, 137-148, 2005 | 40 | 2005 |
| 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 | 39 | 2011 |
| Bayesian decision trees for EEG assessment of newborn brain maturity L Jakaite, V Schetinin, C Maple, J Schult 2010 UK Workshop on Computational Intelligence (UKCI), 1-6, 2010 | 37 | 2010 |
| 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 | 36 | 2004 |
| Polynomial neural networks learnt to classify EEG signals V Schetinin arXiv preprint cs/0504058, 2005 | 34 | 2005 |
| Extraction of features from sleep EEG for Bayesian assessment of brain development V Schetinin, L Jakaite PloS one 12 (3), e0174027, 2017 | 33 | 2017 |
| Classification of newborn EEG maturity with Bayesian averaging over decision trees V Schetinin, L Jakaite Expert Systems with Applications 39 (10), 9340-9347, 2012 | 32 | 2012 |
| Bayesian averaging over decision tree models: an application for estimating uncertainty in trauma severity scoring V Schetinin, L Jakaite, W Krzanowski International journal of medical informatics 112, 6-14, 2018 | 31 | 2018 |
| Bayesian learning of models for estimating uncertainty in alert systems: application to air traffic conflict avoidance V Schetinin, L Jakaite, W Krzanowski Integrated Computer-Aided Engineering 25 (3), 229-245, 2018 | 30 | 2018 |
| Prediction of survival probabilities with Bayesian decision trees V Schetinin, L Jakaite, WJ Krzanowski Expert Systems with Applications 40 (14), 5466-5476, 2013 | 30 | 2013 |
| Confidence in classification: a bayesian approach WJ Krzanowski, TC Bailey, D Partridge, JE Fieldsend, RM Everson, ... Journal of Classification 23, 199-220, 2006 | 29 | 2006 |
| Evolving polynomial neural networks for detecting abnormal patterns N Nyah, L Jakaite, V Schetinin, P Sant, A Aggoun 2016 IEEE 8th international conference on intelligent systems (IS), 74-80, 2016 | 28 | 2016 |
| 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 | 27 | 2013 |
Livija JakaiteUniversity of BedfordshireVerified email at beds.ac.uk
