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 | 40 | 2018 |
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 | 38 | 2021 |
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 | 38 | 2011 |
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 | 37 | 2012 |
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 | 35 | 2010 |
Extraction of features from sleep EEG for Bayesian assessment of brain development V Schetinin, L Jakaite PloS one 12 (3), e0174027, 2017 | 32 | 2017 |
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 |
Classification of newborn EEG maturity with Bayesian averaging over decision trees V Schetinin, L Jakaite Expert Systems with Applications 39 (10), 9340-9347, 2012 | 30 | 2012 |
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 |
Prediction of survival probabilities with Bayesian decision trees V Schetinin, L Jakaite, WJ Krzanowski Expert Systems with Applications 40 (14), 5466-5476, 2013 | 28 | 2013 |
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 | 25 | 2013 |
Feature selection for Bayesian evaluation of trauma death risk L Jakaite, V Schetinin 14th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics …, 2008 | 25 | 2008 |
Learning polynomial neural networks of a near-optimal connectivity for detecting abnormal patterns in biometric data N Nyah, L Jakaite, V Schetinin, P Sant, A Aggoun 2016 SAI computing conference (SAI), 409-413, 2016 | 24 | 2016 |
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 |
Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation V Schetinin, L Jakaite, J Schult 2011 24th International Symposium on Computer-Based Medical Systems (CBMS), 1-6, 2011 | 19 | 2011 |
Extraction of texture features from x-ray images: case of osteoarthritis detection M Akter, L Jakaite Third International Congress on Information and Communication Technology …, 2019 | 15 | 2019 |
Deep learning for biometric face recognition: experimental study on benchmark data sets N Selitskaya, S Sielicki, L Jakaite, V Schetinin, F Evans, M Conrad, P Sant Deep Biometrics, 71-97, 2020 | 14 | 2020 |
Bayesian assessment of newborn brain maturity from two-channel sleep electroencephalograms. Computational and Mathematical Methods in Medicine L Jakaite, V Schetinin, C Maple | 7 | 2012 |