2008 |
38 | EE | Vitaly Schetinin,
Dayou Li,
Carsten Maple:
An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data
CoRR abs/0805.3800: (2008) |
37 | EE | L. Jakaite,
Vitaly Schetinin:
Feature Selection for Bayesian Evaluation of Trauma Death Risk
CoRR abs/0805.3802: (2008) |
2007 |
36 | EE | Vitaly Schetinin,
Wojtek J. Krzanowski,
Carsten Maple:
The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme.
CBMS 2007: 121-126 |
35 | EE | 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 |
34 | EE | Vitaly Schetinin,
Jonathan E. Fieldsend,
Derek Partridge,
Wojtek J. Krzanowski,
Richard M. Everson,
Trevor C. Bailey,
Adolfo Hernandez:
Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data.
Perception-based Data Mining and Decision Making in Economics and Finance 2007: 155-179 |
33 | EE | J. Uglov,
Vitaly Schetinin,
Carsten Maple:
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition
CoRR abs/0704.3515: (2007) |
32 | EE | Vitaly Schetinin,
Jonathan E. Fieldsend,
Derek Partridge,
Timothy J. Coats,
Wojtek J. Krzanowski,
Richard M. Everson,
Trevor C. Bailey,
Adolfo Hernandez:
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications.
IEEE Transactions on Information Technology in Biomedicine 11(3): 312-319 (2007) |
31 | EE | 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 Computing and Applications 16(1): 1-10 (2007) |
2006 |
30 | EE | Carsten Maple,
Vitaly Schetinin:
Using A Bayesian Averaging Model for Estimating the Reliability of Decisions in Multimodal Biometrics.
ARES 2006: 929-935 |
29 | EE | 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 |
28 | EE | 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 |
27 | | Vitaly Schetinin,
Jonathan E. Fieldsend,
Derek Partridge,
Wojtek J. Krzanowski,
Richard M. Everson,
Trevor C. Bailey,
Adolfo Hernandez:
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems.
Integrated Intelligent Systems for Engineering Design 2006: 82-96 |
26 | EE | Vitaly Schetinin,
Joachim Schult:
Learning polynomial networks for classification of clinical electroencephalograms.
Soft Comput. 10(4): 397-403 (2006) |
2005 |
25 | EE | Vitaly Schetinin,
Joachim Schult:
Learning Polynomial Networks for Classification of Clinical Electroencephalograms
CoRR abs/cs/0504041: (2005) |
24 | EE | Vitaly Schetinin,
Jonathan E. Fieldsend,
Derek Partridge,
Wojtek J. Krzanowski,
Richard M. Everson,
Trevor C. Bailey,
Adolfo Hernandez:
The Bayesian Decision Tree Technique with a Sweeping Strategy
CoRR abs/cs/0504042: (2005) |
23 | EE | Vitaly Schetinin,
Derek Partridge,
Wojtek J. Krzanowski,
Richard M. Everson,
Jonathan E. Fieldsend,
Trevor C. Bailey,
Adolfo Hernandez:
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles
CoRR abs/cs/0504043: (2005) |
22 | EE | Vitaly Schetinin,
Joachim Schult,
Burkhart Scheidt,
Valery Kuriakin:
Learning Multi-Class Neural-Network Models from Electroencephalograms
CoRR abs/cs/0504052: (2005) |
21 | EE | Valentina V. Zharkova,
Vitaly Schetinin:
A Neural-Network Technique for Recognition of Filaments in Solar Images
CoRR abs/cs/0504053: (2005) |
20 | EE | Vitaly Schetinin:
Learning from Web: Review of Approaches
CoRR abs/cs/0504054: (2005) |
19 | EE | Vitaly Schetinin:
A Learning Algorithm for Evolving Cascade Neural Networks
CoRR abs/cs/0504055: (2005) |
18 | EE | Vitaly Schetinin:
Self-Organizing Multilayered Neural Networks of Optimal Complexity
CoRR abs/cs/0504056: (2005) |
17 | EE | Vitaly Schetinin,
Anatoly Brazhnikov:
Diagnostic Rule Extraction Using Neural Networks
CoRR abs/cs/0504057: (2005) |
16 | EE | Vitaly Schetinin:
Polynomial Neural Networks Learnt to Classify EEG Signals
CoRR abs/cs/0504058: (2005) |
15 | EE | Vitaly Schetinin:
A Neural Network Decision Tree for Learning Concepts from EEG Data
CoRR abs/cs/0504059: (2005) |
14 | EE | Vitaly Schetinin,
Joachim Schult,
Anatoly Brazhnikov:
Neural-Network Techniques for Visual Mining Clinical Electroencephalograms
CoRR abs/cs/0504064: (2005) |
13 | EE | Vitaly Schetinin,
Jonathan E. Fieldsend,
Derek Partridge,
Wojtek J. Krzanowski,
Richard M. Everson,
Trevor C. Bailey,
Adolfo Hernandez:
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data
CoRR abs/cs/0504065: (2005) |
12 | EE | Vitaly Schetinin,
Jonathan E. Fieldsend,
Derek Partridge,
Wojtek J. Krzanowski,
Richard M. Everson,
Trevor C. Bailey,
Adolfo Hernandez:
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique
CoRR abs/cs/0504066: (2005) |
11 | EE | Vitaly Schetinin:
An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms
CoRR abs/cs/0504067: (2005) |
10 | EE | Vitaly Schetinin,
A. Kostunin:
Self-Organization of the Neuron Collective of Optimal Complexity
CoRR abs/cs/0504068: (2005) |
9 | EE | Vitaly Schetinin,
Joachim Schult:
A Neural-Network Technique to Learn Concepts from Electroencephalograms
CoRR abs/cs/0504069: (2005) |
8 | EE | Vitaly Schetinin,
Joachim Schult:
The Combined Technique for Detection of Artifacts in Clinical Electroencephalograms of Sleeping Newborns
CoRR abs/cs/0504070: (2005) |
2004 |
7 | EE | Vitaly Schetinin,
Derek Partridge,
Wojtek J. Krzanowski,
Richard M. Everson,
Jonathan E. Fieldsend,
Trevor C. Bailey,
Adolfo Hernandez:
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles.
IDEAL 2004: 726-732 |
6 | | Vitaly Schetinin,
Joachim Schult:
The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns.
IEEE Transactions on Information Technology in Biomedicine 8(1): 28-35 (2004) |
2003 |
5 | EE | Valentina V. Zharkova,
Vitaly Schetinin:
A recognition of filaments in solar images with an artificial neural network.
ESANN 2003: 521-526 |
4 | EE | Valentina V. Zharkova,
Vitaly Schetinin:
A Neural-Network Technique for Recognition of Filaments in Solar Images.
KES 2003: 148-154 |
3 | EE | Vitaly Schetinin,
Joachim Schult,
Burkhart Scheidt,
Valery Kuriakin:
Learning Multi-class Neural-Network Models from Electroencephalograms.
KES 2003: 155-162 |
2 | EE | Victor Abrukov,
Vitaly Schetinin,
Pavel Deltsov:
Using Artificial Neural Networks for Combustion Interferometry.
KES 2003: 684-690 |
1 | | Vitaly Schetinin:
A Learning Algorithm for Evolving Cascade Neural Networks.
Neural Processing Letters 17(1): 21-31 (2003) |