Livia Jakaite

18 papers B 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explainable GMDH-type neural networks for decision making: Case of medical diagnostics.
Appl. Soft Comput.
Livia Jakaite, Vitaly Schetinin
2023 J jnl
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction.
Artif. Intell. Medicine
Livia Jakaite, Vitaly Schetinin
2020 — ch.
Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets.
Deep Biometrics
Natalya Selitskaya, Stanislaw Sielicki, Livia Jakaite, Vitaly Schetinin, F. Evans, Marc Conrad, Paul Sant
2018 J jnl
Bayesian averaging over Decision Tree models for trauma severity scoring.
Artif. Intell. Medicine
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
2018 J jnl
Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring.
Int. J. Medical Informatics
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
2018 J jnl
Bayesian learning of models for estimating uncertainty in alert systems: Application to air traffic conflict avoidance.
Integr. Comput. Aided Eng.
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
2018 J jnl
Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification.
Int. J. Neural Syst.
Vitaly Schetinin, Livia Jakaite, Ndifreke Nyah, Dusica Novakovic, Wojtek J. Krzanowski
2016 — conf
Evolving polynomial neural networks for detecting abnormal patterns.
IEEE Conf. on Intelligent Systems
Ndifreke Nyah, Livia Jakaite, Vitaly Schetinin, Paul Sant, Amar Aggoun
2015 — conf
Bayesian Predictive Modelling: Application to Aircraft Short-Term Conflict Alert System.
BMA@UAI
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
2013 J jnl
Bayesian Decision Trees for predicting survival of patients: A study on the US National Trauma Data Bank.
Comput. Methods Programs Biomed.
Vitaly Schetinin, Livia Jakaite, Janis Jakaitis, Wojtek J. Krzanowski
2013 J jnl
Prediction of survival probabilities with Bayesian Decision Trees.
Expert Syst. Appl.
Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski
2012 J jnl
Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms.
Comput. Math. Methods Medicine
Livia Jakaite, Vitaly Schetinin, Carsten Maple
2012 J jnl
Classification of newborn EEG maturity with Bayesian averaging over decision trees.
Expert Syst. Appl.
Vitaly Schetinin, Livia Jakaite
2011 B conf
Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity.
CBMS
Livia Jakaite, Vitaly Schetinin, Joachim Schult
2011 B conf
Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation.
CBMS
Vitaly Schetinin, Livia Jakaite, Joachim Schult
2010 J jnl
Feature Importance in Bayesian Assessment of Newborn Brain Maturity from EEG
CoRR
Livia Jakaite, Vitaly Schetinin, Carsten Maple
2008 J jnl
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition.
EURASIP J. Adv. Signal Process.
Jegor Uglov, Livia Jakaite, Vitaly Schetinin, Carsten Maple
2008 J jnl
Feature Selection for Bayesian Evaluation of Trauma Death Risk
CoRR
Livia Jakaite, Vitaly Schetinin