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2020 – today
- 2023
[j19]Livia Jakaite
, Vitaly Schetinin:
Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction. Artif. Intell. Medicine 143: 102634 (2023)- [c20]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 - 2022
- [j18]Rejwan Bin Sulaiman, Vitaly Schetinin, Paul Sant:
Review of Machine Learning Approach on Credit Card Fraud Detection. Hum. Centric Intell. Syst. 2(1-2): 55-68 (2022) - 2021
- [c19]Rejwan Bin Sulaiman, Vitaly Schetinin:
Deep Neural-Network Prediction for Study of Informational Efficiency. IntelliSys (2) 2021: 460-467 - 2020
- [p4]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
- [j17]Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski:
Bayesian averaging over Decision Tree models for trauma severity scoring. Artif. Intell. Medicine 84: 139-145 (2018) - [j16]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) - [j15]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) - [j14]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
- [c18]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
- [c17]Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski:
Bayesian Predictive Modelling: Application to Aircraft Short-Term Conflict Alert System. BMA@UAI 2015: 54-61 - 2014
- [c16]Adnan Qureshi, Vitaly Schetinin:
Computer-Aided Segmentation and Estimation of Indices in Brain CT Scans. MIUA 2014: 161-166 - 2013
- [j13]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) - [j12]Vitaly Schetinin, Livia Jakaite, Wojtek J. Krzanowski:
Prediction of survival probabilities with Bayesian Decision Trees. Expert Syst. Appl. 40(14): 5466-5476 (2013) - 2012
- [j11]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) - [j10]Vitaly Schetinin, Livia Jakaite:
Classification of newborn EEG maturity with Bayesian averaging over decision trees. Expert Syst. Appl. 39(10): 9340-9347 (2012) - 2011
- [c15]Livia Jakaite, Vitaly Schetinin, Joachim Schult:
Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity. CBMS 2011: 1-6 - [c14]Vitaly Schetinin, Livia Jakaite, Joachim Schult:
Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation. CBMS 2011: 1-6 - 2010
- [i23]Livia Jakaite, Vitaly Schetinin, Carsten Maple:
Feature Importance in Bayesian Assessment of Newborn Brain Maturity from EEG. CoRR abs/1002.4522 (2010) - [i22]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems. CoRR abs/1012.0322 (2010)
2000 – 2009
- 2008
- [j9]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) - [c13]Vitaly Schetinin, Dayou Li, Carsten Maple:
An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data. ICNC (1) 2008: 40-44 - [i21]Vitaly Schetinin, Dayou Li, Carsten Maple:
An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data. CoRR abs/0805.3800 (2008) - [i20]Livia Jakaite, Vitaly Schetinin:
Feature Selection for Bayesian Evaluation of Trauma Death Risk. CoRR abs/0805.3802 (2008) - 2007
- [j8]Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin:
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. Neural Comput. Appl. 16(1): 1-10 (2007) - [j7]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Timothy J. Coats, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications. IEEE Trans. Inf. Technol. Biomed. 11(3): 312-319 (2007) - [c12]Vitaly Schetinin, Wojtek J. Krzanowski, Carsten Maple:
The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme. CBMS 2007: 121-126 - [c11]Vitaly Schetinin, Carsten Maple:
A Bayesian Model Averaging Methodology for Detecting EEG Artifacts. DSP 2007: 499-502 - [p3]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:
Advanced Feature Recognition and Classification Using Artificial Intelligence Paradigms. Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images 2007: 151-338 - [p2]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data. Perception-based Data Mining and Decision Making in Economics and Finance 2007: 155-179 - [i19]Jegor Uglov, Vitaly Schetinin, Carsten Maple:
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition. CoRR abs/0704.3515 (2007) - 2006
- [j6]Wojtek J. Krzanowski, Trevor C. Bailey, Derek Partridge, Jonathan E. Fieldsend, Richard M. Everson, Vitaly Schetinin:
Confidence in Classification: A Bayesian Approach. J. Classif. 23(2): 199-220 (2006) - [j5]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. J. Math. Model. Algorithms 5(4): 397-416 (2006) - [j4]Vitaly Schetinin, Joachim Schult:
Learning polynomial networks for classification of clinical electroencephalograms. Soft Comput. 10(4): 397-403 (2006) - [c10]Carsten Maple, Vitaly Schetinin:
Using A Bayesian Averaging Model for Estimating the Reliability of Decisions in Multimodal Biometrics. ARES 2006: 929-935 - [c9]Derek Partridge, Vitaly Schetinin, Dayou Li, Timothy J. Coats, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey:
Interpretability of Bayesian Decision Trees Induced from Trauma Data. ICAISC 2006: 972-981 - [c8]Vitaly Schetinin, Valentina V. Zharkova, Sergei I. Zharkov:
Bayesian Decision Tree Averaging for the Probabilistic Interpretation of Solar Flare Occurrences. KES (3) 2006: 523-532 - [c7]Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin, Adolfo Hernández:
Optimising Data-Driven Safety Related Systems. SSS 2006: 217-230 - [c6]Derek Partridge, Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Adolfo Hernández, Wojtek J. Krzanowski, Vitaly Schetinin:
Classification with Confidence for Critical Systems. SSS 2006: 231-239 - [p1]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems. Integrated Intelligent Systems for Engineering Design 2006: 82-96 - 2005
- [j3]Vitaly Schetinin, Joachim Schult:
A neural-network technique to learn concepts from electroencephalograms. Theory Biosci. 124(1): 41-53 (2005) - [i18]Vitaly Schetinin, Joachim Schult:
Learning Polynomial Networks for Classification of Clinical Electroencephalograms. CoRR abs/cs/0504041 (2005) - [i17]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
The Bayesian Decision Tree Technique with a Sweeping Strategy. CoRR abs/cs/0504042 (2005) - [i16]Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernández:
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. CoRR abs/cs/0504043 (2005) - [i15]Vitaly Schetinin, Joachim Schult, Burkhart Scheidt, Valery Kuriakin:
Learning Multi-Class Neural-Network Models from Electroencephalograms. CoRR abs/cs/0504052 (2005) - [i14]Valentina V. Zharkova, Vitaly Schetinin:
A Neural-Network Technique for Recognition of Filaments in Solar Images. CoRR abs/cs/0504053 (2005) - [i13]Vitaly Schetinin:
Learning from Web: Review of Approaches. CoRR abs/cs/0504054 (2005) - [i12]Vitaly Schetinin:
A Learning Algorithm for Evolving Cascade Neural Networks. CoRR abs/cs/0504055 (2005) - [i11]Vitaly Schetinin:
Self-Organizing Multilayered Neural Networks of Optimal Complexity. CoRR abs/cs/0504056 (2005) - [i10]Vitaly Schetinin, Anatoly Brazhnikov:
Diagnostic Rule Extraction Using Neural Networks. CoRR abs/cs/0504057 (2005) - [i9]Vitaly Schetinin:
Polynomial Neural Networks Learnt to Classify EEG Signals. CoRR abs/cs/0504058 (2005) - [i8]Vitaly Schetinin:
A Neural Network Decision Tree for Learning Concepts from EEG Data. CoRR abs/cs/0504059 (2005) - [i7]Vitaly Schetinin, Joachim Schult, Anatoly Brazhnikov:
Neural-Network Techniques for Visual Mining Clinical Electroencephalograms. CoRR abs/cs/0504064 (2005) - [i6]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data. CoRR abs/cs/0504065 (2005) - [i5]Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey, Adolfo Hernández:
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique. CoRR abs/cs/0504066 (2005) - [i4]Vitaly Schetinin:
An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms. CoRR abs/cs/0504067 (2005) - [i3]Vitaly Schetinin, A. Kostunin:
Self-Organization of the Neuron Collective of Optimal Complexity. CoRR abs/cs/0504068 (2005) - [i2]Vitaly Schetinin, Joachim Schult:
A Neural-Network Technique to Learn Concepts from Electroencephalograms. CoRR abs/cs/0504069 (2005) - [i1]Vitaly Schetinin, Joachim Schult:
The Combined Technique for Detection of Artifacts in Clinical Electroencephalograms of Sleeping Newborns. CoRR abs/cs/0504070 (2005) - 2004
- [j2]Vitaly Schetinin, Joachim Schult:
The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns. IEEE Trans. Inf. Technol. Biomed. 8(1): 28-35 (2004) - [c5]Vitaly Schetinin, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Jonathan E. Fieldsend, Trevor C. Bailey, Adolfo Hernández:
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles. IDEAL 2004: 726-732 - 2003
- [j1]Vitaly Schetinin:
A Learning Algorithm for Evolving Cascade Neural Networks. Neural Process. Lett. 17(1): 21-31 (2003) - [c4]Valentina V. Zharkova, Vitaly Schetinin:
A recognition of filaments in solar images with an artificial neural network. ESANN 2003: 521-526 - [c3]Valentina V. Zharkova, Vitaly Schetinin:
A Neural-Network Technique for Recognition of Filaments in Solar Images. KES 2003: 148-154 - [c2]Vitaly Schetinin, Joachim Schult, Burkhart Scheidt, Valery Kuriakin:
Learning Multi-class Neural-Network Models from Electroencephalograms. KES 2003: 155-162 - [c1]Victor Abrukov, Vitaly Schetinin, Pavel Deltsov:
Using Artificial Neural Networks for Combustion Interferometry. KES 2003: 684-690
Coauthor Index
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