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Livija Jakaite
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Year
Bayesian averaging over decision tree models for trauma severity scoring
V Schetinin, L Jakaite, W Krzanowski
Artificial Intelligence in Medicine 84, 139-145, 2018
472018
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
392018
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
372011
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
362021
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
352012
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
342010
Extraction of features from sleep EEG for Bayesian assessment of brain development
V Schetinin, L Jakaite
PloS one 12 (3), e0174027, 2017
312017
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
302018
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
292018
Classification of newborn EEG maturity with Bayesian averaging over decision trees
V Schetinin, L Jakaite
Expert Systems with Applications 39 (10), 9340-9347, 2012
292012
Prediction of survival probabilities with Bayesian decision trees
V Schetinin, L Jakaite, WJ Krzanowski
Expert Systems with Applications 40 (14), 5466-5476, 2013
272013
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
262016
Feature selection for Bayesian evaluation of trauma death risk
L Jakaite, V Schetinin
14th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics …, 2008
252008
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
242013
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
232016
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
212007
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
182011
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
152019
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
112020
Bayesian assessment of newborn brain maturity from two-channel sleep electroencephalograms. Computational and Mathematical Methods in Medicine
L Jakaite, V Schetinin, C Maple
62012
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