A recognition of filaments in solar images with an artificial neural network. - Valentina V. Zharkova; Vitaly Schetinin (ESANN, 2003)

Using Artificial Neural Networks for Combustion Interferometry. - Victor Abrukov; Vitaly Schetinin; Pavel Deltsov (KES, 2003)

Learning Multi-class Neural-Network Models from Electroencephalograms. - Vitaly Schetinin; Joachim Schult; Burkhart Scheidt; Valery Kuriakin (KES, 2003)

A Neural-Network Technique for Recognition of Filaments in Solar Images. - Valentina V. Zharkova; Vitaly Schetinin (KES, 2003)

A Learning Algorithm for Evolving Cascade Neural Networks. - Vitaly Schetinin (Neural Process. Lett., 2003)

Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. - Vitaly Schetinin; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Jonathan E. Fieldsend; Trevor C. Bailey; Adolfo Hernández (IDEAL, 2004)

The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns. - Vitaly Schetinin; Joachim Schult (IEEE Trans. Inf. Technol. Biomed., 2004)

The Bayesian Decision Tree Technique with a Sweeping Strategy - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (CoRR, 2005)

Learning from Web: Review of Approaches - Vitaly Schetinin (CoRR, 2005)

Self-Organizing Multilayered Neural Networks of Optimal Complexity - Vitaly Schetinin (CoRR, 2005)

Diagnostic Rule Extraction Using Neural Networks - Vitaly Schetinin; Anatoly Brazhnikov (CoRR, 2005)

Polynomial Neural Networks Learnt to Classify EEG Signals - Vitaly Schetinin (CoRR, 2005)

A Neural Network Decision Tree for Learning Concepts from EEG Data - Vitaly Schetinin (CoRR, 2005)

Neural-Network Techniques for Visual Mining Clinical Electroencephalograms - Vitaly Schetinin; Joachim Schult; Anatoly Brazhnikov (CoRR, 2005)

Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (CoRR, 2005)

An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms - Vitaly Schetinin (CoRR, 2005)

Self-Organization of the Neuron Collective of Optimal Complexity - Vitaly Schetinin; A. Kostunin (CoRR, 2005)

A neural-network technique to learn concepts from electroencephalograms. - Vitaly Schetinin; Joachim Schult (Theory Biosci., 2005)

Using A Bayesian Averaging Model for Estimating the Reliability of Decisions in Multimodal Biometrics. - Carsten Maple; Vitaly Schetinin (ARES, 2006)

Interpretability of Bayesian Decision Trees Induced from Trauma Data. - Derek Partridge; Vitaly Schetinin; Dayou Li; Timothy J. Coats; Jonathan E. Fieldsend; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey (ICAISC, 2006)

Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences. - Vitaly Schetinin; Valentina V. Zharkova; Sergei I. Zharkov (KES (3), 2006)

Optimising Data-Driven Safety Related Systems. - Richard M. Everson; Jonathan E. Fieldsend; Trevor C. Bailey; Wojtek J. Krzanowski; Derek Partridge; Vitaly Schetinin; Adolfo Hernández (SSS, 2006)

Classification with Confidence for Critical Systems. - Derek Partridge; Trevor C. Bailey; Richard M. Everson; Jonathan E. Fieldsend; Adolfo Hernández; Wojtek J. Krzanowski; Vitaly Schetinin (SSS, 2006)

Confidence in Classification: A Bayesian Approach. - Wojtek J. Krzanowski; Trevor C. Bailey; Derek Partridge; Jonathan E. Fieldsend; Richard M. Everson; Vitaly Schetinin (J. Classif., 2006)

Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (J. Math. Model. Algorithms, 2006)

Learning polynomial networks for classification of clinical electroencephalograms. - Vitaly Schetinin; Joachim Schult (Soft Comput., 2006)

A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems. - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (Integrated Intelligent Systems for Engineering Design, 2006)

The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme. - Vitaly Schetinin; Wojtek J. Krzanowski; Carsten Maple (CBMS, 2007)

A Bayesian Model Averaging Methodology for Detecting EEG Artifacts. - Vitaly Schetinin; Carsten Maple (DSP, 2007)

Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition - Jegor Uglov; Vitaly Schetinin; Carsten Maple (CoRR, 2007)

Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. - Trevor C. Bailey; Richard M. Everson; Jonathan E. Fieldsend; Wojtek J. Krzanowski; Derek Partridge; Vitaly Schetinin (Neural Comput. Appl., 2007)

Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Timothy J. Coats; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (IEEE Trans. Inf. Technol. Biomed., 2007)

Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data. - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (Perception-based Data Mining and Decision Making in Economics and Finance, 2007)

Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms. - Vitaly Schetinin; Valentina V. Zharkova; Anatoly Brazhnikov; Sergei I. Zharkov; Emanuele Salerno; Luigi Bedini; Ercan E. Kuruoglu; Anna Tonazzini; Damjan Zazula; Boris Cigale; Hiroyuki Yoshida (Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images, 2007)

An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data. - Vitaly Schetinin; Dayou Li; Carsten Maple (ICNC (1), 2008)

Feature Selection for Bayesian Evaluation of Trauma Death Risk - Livia Jakaite; Vitaly Schetinin (CoRR, 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 Importance in Bayesian Assessment of Newborn Brain Maturity from EEG - Livia Jakaite; Vitaly Schetinin; Carsten Maple (CoRR, 2010)

A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems - Vitaly Schetinin; Jonathan E. Fieldsend; Derek Partridge; Wojtek J. Krzanowski; Richard M. Everson; Trevor C. Bailey; Adolfo Hernández (CoRR, 2010)

Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity. - Livia Jakaite; Vitaly Schetinin; Joachim Schult (CBMS, 2011)

Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation. - Vitaly Schetinin; Livia Jakaite; Joachim Schult (CBMS, 2011)

Bayesian Assessment of Newborn Brain Maturity from Two-Channel Sleep Electroencephalograms. - Livia Jakaite; Vitaly Schetinin; Carsten Maple (Comput. Math. Methods Medicine, 2012)

Classification of newborn EEG maturity with Bayesian averaging over decision trees. - Vitaly Schetinin; Livia Jakaite (Expert Syst. Appl., 2012)

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)

Prediction of survival probabilities with Bayesian Decision Trees. - Vitaly Schetinin; Livia Jakaite; Wojtek J. Krzanowski (Expert Syst. Appl., 2013)

Computer-Aided Segmentation and Estimation of Indices in Brain CT Scans. - Adnan Qureshi; Vitaly Schetinin (MIUA, 2014)

Bayesian Predictive Modelling: Application to Aircraft Short-Term Conflict Alert System. - Vitaly Schetinin; Livia Jakaite; Wojtek J. Krzanowski (BMA@UAI, 2015)

Evolving polynomial neural networks for detecting abnormal patterns. - Ndifreke Nyah; Livia Jakaite; Vitaly Schetinin; Paul Sant; Amar Aggoun (IEEE Conf. on Intelligent Systems, 2016)

Bayesian averaging over Decision Tree models for trauma severity scoring. - Vitaly Schetinin; Livia Jakaite; Wojtek J. Krzanowski (Artif. Intell. Medicine, 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: An application for estimating uncertainty in trauma severity scoring. - Vitaly Schetinin; Livia Jakaite; Wojtek J. Krzanowski (Int. J. Medical Informatics, 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)

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 (Deep Biometrics, 2020)

Deep Neural-Network Prediction for Study of Informational Efficiency. - Rejwan Bin Sulaiman; Vitaly Schetinin (IntelliSys (2), 2021)

Review of Machine Learning Approach on Credit Card Fraud Detection. - Rejwan Bin Sulaiman; Vitaly Schetinin; Paul Sant (Hum. Centric Intell. Syst., 2022)

The Batch Primary Components Transformer and Auto-Plasticity Learning Linear Units Architecture: Synthetic Image Generation Case. - Stanislav Selitskiy; Chihiro Inoue; Vitaly Schetinin; Livija Jakaite (SNAMS, 2023)

Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction. - Livia Jakaite; Vitaly Schetinin (Artif. Intell. Medicine, 2023)

Explainable GMDH-type neural networks for decision making: Case of medical diagnostics. - Livia Jakaite; Vitaly Schetinin (Appl. Soft Comput., 2025)