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2020 – today
- 2023
[j10]Livia Jakaite
, Vitaly Schetinin:
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction. Artif. Intell. Medicine 143: 102634 (2023)- [c5]Stanislav Selitskiy, Chihiro Inoue, Vitaly Schetinin, Livija Jakaite:
The Batch Primary Components Transformer and Auto-Plasticity Learning Linear Units Architecture: Synthetic Image Generation Case. SNAMS 2023: 1-9 - 2020
- [p1]Natalya Selitskaya, Stanislaw Sielicki, Livia Jakaite, Vitaly Schetinin, F. Evans, Marc Conrad, Paul Sant:
Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets. Deep Biometrics 2020: 71-97
2010 – 2019
- 2018
- [j9]Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski:
Bayesian averaging over Decision Tree models for trauma severity scoring. Artif. Intell. Medicine 84: 139-145 (2018) - [j8]Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski:
Bayesian learning of models for estimating uncertainty in alert systems: Application to air traffic conflict avoidance. Integr. Comput. Aided Eng. 25(3): 229-245 (2018) - [j7]Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski:
Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring. Int. J. Medical Informatics 112: 6-14 (2018) - [j6]Vitaly Schetinin, Livia Jakaite, Ndifreke Nyah, Dusica Novakovic, Wojtek J. Krzanowski:
Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification. Int. J. Neural Syst. 28(6): 1750064:1-1750064:23 (2018) - 2016
- [c4]Ndifreke Nyah, Livia Jakaite, Vitaly Schetinin, Paul Sant, Amar Aggoun:
Evolving polynomial neural networks for detecting abnormal patterns. IEEE Conf. on Intelligent Systems 2016: 74-80 - 2015
- [c3]Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski:
Bayesian Predictive Modelling: Application to Aircraft Short-Term Conflict Alert System. BMA@UAI 2015: 54-61 - 2013
- [j5]Vitaly Schetinin, Livia Jakaite, Janis Jakaitis, Wojtek J. Krzanowski:
Bayesian Decision Trees for predicting survival of patients: A study on the US National Trauma Data Bank. Comput. Methods Programs Biomed. 111(3): 602-612 (2013) - [j4]Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski:
Prediction of survival probabilities with Bayesian Decision Trees. Expert Syst. Appl. 40(14): 5466-5476 (2013) - 2012
- [j3]Livia Jakaite, Vitaly Schetinin, Carsten Maple:
Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms. Comput. Math. Methods Medicine 2012: 629654:1-629654:7 (2012) - [j2]Vitaly Schetinin, Livia Jakaite:
Classification of newborn EEG maturity with Bayesian averaging over decision trees. Expert Syst. Appl. 39(10): 9340-9347 (2012) - 2011
- [c2]Livia Jakaite, Vitaly Schetinin, Joachim Schult:
Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity. CBMS 2011: 1-6 - [c1]Vitaly Schetinin, Livia Jakaite, Joachim Schult:
Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation. CBMS 2011: 1-6 - 2010
- [i2]Livia Jakaite, Vitaly Schetinin, Carsten Maple:
Feature Importance in Bayesian Assessment of Newborn Brain Maturity from EEG. CoRR abs/1002.4522 (2010)
2000 – 2009
- 2008
- [j1]Jegor Uglov, Livia Jakaite, Vitaly Schetinin, Carsten Maple:
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition. EURASIP J. Adv. Signal Process. 2008 (2008) - [i1]Livia Jakaite, Vitaly Schetinin:
Feature Selection for Bayesian Evaluation of Trauma Death Risk. CoRR abs/0805.3802 (2008)
Coauthor Index
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