Vitaly Schetinin

2008
37	EE	Vitaly Schetinin, Dayou Li, Carsten Maple: An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data CoRR abs/0805.3800: (2008)
36	EE	L. Jakaite, Vitaly Schetinin: Feature Selection for Bayesian Evaluation of Trauma Death Risk CoRR abs/0805.3802: (2008)
2007
35	EE	Vitaly Schetinin, Wojtek J. Krzanowski, Carsten Maple: The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme. CBMS 2007: 121-126
34	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
33	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
32	EE	J. Uglov, Vitaly Schetinin, Carsten Maple: Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition CoRR abs/0704.3515: (2007)
31	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)
30	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
29	EE	Carsten Maple, Vitaly Schetinin: Using A Bayesian Averaging Model for Estimating the Reliability of Decisions in Multimodal Biometrics. ARES 2006: 929-935
28	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
27	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
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)

Coauthor Index

1	Victor Abrukov	[2]
2	Trevor C. Bailey	[7] [12] [13] [23] [24] [28] [30] [31] [33]
3	Luigi Bedini	[34]
4	Anatoly Brazhnikov	[14] [17] [34]
5	Boris Cigale	[34]
6	Timothy J. Coats	[28] [31]
7	Pavel Deltsov	[2]
8	Richard M. Everson	[7] [12] [13] [23] [24] [28] [30] [31] [33]
9	Jonathan E. Fieldsend	[7] [12] [13] [23] [24] [28] [30] [31] [33]
10	Adolfo Hernandez	[7] [12] [13] [23] [24] [31] [33]
11	L. Jakaite	[36]
12	A. Kostunin	[10]
13	Wojtek J. Krzanowski	[7] [12] [13] [23] [24] [28] [30] [31] [33] [35]
14	Valery Kuriakin	[3] [22]
15	Ercan E. Kuruoglu	[34]
16	Dayou Li	[28] [37]
17	Carsten Maple	[29] [32] [35] [37]
18	Derek Partridge	[7] [12] [13] [23] [24] [28] [30] [31] [33]
19	Emanuele Salerno	[34]
20	Burkhart Scheidt	[3] [22]
21	Joachim Schult	[3] [6] [8] [9] [14] [22] [25] [26]
22	Anna Tonazzini	[34]
23	J. Uglov	[32]
24	Hiroyuki Yoshida	[34]
25	Damjan Zazula	[34]
26	Sergei I. Zharkov	[27] [34]
27	Valentina V. Zharkova	[4] [5] [21] [27] [34]

Colors in the list of coauthors