Livia Jakaite

According to our database, Livia Jakaite authored at least 18 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction.

Livia Jakaite, Vitaly Schetinin

Artif. Intell. Medicine, September, 2023

The Batch Primary Components Transformer and Auto-Plasticity Learning Linear Units Architecture: Synthetic Image Generation Case.

Stanislav Selitskiy, Chihiro Inoue, Vitaly Schetinin, Livija Jakaite

Proceedings of the Tenth International Conference on Social Networks Analysis, 2023

2020

Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets.

Natalya Selitskaya, Stanislaw Sielicki, Livia Jakaite, Vitaly Schetinin, F. Evans, Marc Conrad, Paul Sant

Proceedings of the Deep Biometrics, 2020

2018

Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification.

Vitaly Schetinin, Livia Jakaite, Ndifreke Nyah, Dusica Novakovic, Wojtek J. Krzanowski

Int. J. Neural Syst., 2018

Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring.

Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski

Int. J. Medical Informatics, 2018

Bayesian learning of models for estimating uncertainty in alert systems: Application to air traffic conflict avoidance.

Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski

Integr. Comput. Aided Eng., 2018

Bayesian averaging over Decision Tree models for trauma severity scoring.

Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski

Artif. Intell. Medicine, 2018

2016

Evolving polynomial neural networks for detecting abnormal patterns.

Ndifreke Nyah, Livia Jakaite, Vitaly Schetinin, Paul Sant, Amar Aggoun

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

2015

Bayesian Predictive Modelling: Application to Aircraft Short-Term Conflict Alert System.

Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski

Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

2013

Prediction of survival probabilities with Bayesian Decision Trees.

Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski

Expert Syst. Appl., 2013

Bayesian Decision Trees for predicting survival of patients: A study on the US National Trauma Data Bank.

Vitaly Schetinin, Livia Jakaite, Janis Jakaitis, Wojtek J. Krzanowski

Comput. Methods Programs Biomed., 2013

2012

Classification of newborn EEG maturity with Bayesian averaging over decision trees.

Vitaly Schetinin, Livia Jakaite

Expert Syst. Appl., 2012

Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms.

Livia Jakaite, Vitaly Schetinin, Carsten Maple

Comput. Math. Methods Medicine, 2012

2011

Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation.

Vitaly Schetinin, Livia Jakaite, Joachim Schult

Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity.

Livia Jakaite, Vitaly Schetinin, Joachim Schult

Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010

Feature Importance in Bayesian Assessment of Newborn Brain Maturity from EEG

Livia Jakaite, Vitaly Schetinin, Carsten Maple

CoRR, 2010

2008

Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition.

Jegor Uglov, Livia Jakaite, Vitaly Schetinin, Carsten Maple

EURASIP J. Adv. Signal Process., 2008

Feature Selection for Bayesian Evaluation of Trauma Death Risk

Livia Jakaite, Vitaly Schetinin

CoRR, 2008