Evgueni N. Smirnov

	2011
30		Nikolay I. Nikolaev, Peter Tino, Evgueni N. Smirnov: Time-Dependent Series Variance Estimation via Recurrent Neural Networks. ICANN (1) 2011: 176-184
29		Evgueni N. Smirnov, Matthijs Moed, Georgi I. Nalbantov, Ida G. Sprinkhuizen-Kuyper: Minimally-Sized Balanced Decomposition Schemes for Multi-class Classification. Ensembles in Machine Learning Applications 2011: 39-58
	2010
28		Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov: Single-Stacking Conformity Approach to Reliable Classification. AIMSA 2010: 161-170
27		Georgi I. Nalbantov, Evgueni N. Smirnov: Soft Nearest Convex Hull Classifier. ECAI 2010: 841-846
26		Evgueni N. Smirnov, Georgi I. Nalbantov, Nikolay I. Nikolaev: k-Version-Space Multi-class Classification Based on k-Consistency Tests. ECML/PKDD (3) 2010: 277-292
25		Nikolay Y. Nikolaev, Derrick Takeshi Mirikitani, Evgueni N. Smirnov: Unscented grid filtering and elman recurrent networks. IJCNN 2010: 1-7
24		Georgi I. Nalbantov, Evgueni N. Smirnov, Dilyan I. Nalbantov, Gerhard Weiss, Karl Nienhaus, Manuel Warcholik, Fiona Mavroudis: Image Mining for Intelligent Autonomous Coal Mining. Industrial Conference on Data Mining - Poster and Industry Proceedings 2010: 17-23
	2009
23		Matthijs Moed, Evgueni N. Smirnov: Efficient AdaBoost Region Classification. MLDM 2009: 123-136
22		Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper, Evgueni N. Smirnov, H. Jaap van den Herik: The ROC isometrics approach to construct reliable classifiers. Intell. Data Anal. 13(1): 3-37 (2009)
21		Evgueni N. Smirnov, Georgi I. Nalbantov, A. M. Kaptein: Meta-conformity approach to reliable classification. Intell. Data Anal. 13(6): 901-915 (2009)
	2008
20		J. van Prehn, Evgueni N. Smirnov: Region Classification with Decision Trees. ICDM Workshops 2008: 53-59
	2007
19		Nikolay Y. Nikolaev, Evgueni N. Smirnov: A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems. ICANN (1) 2007: 747-756
	2006
18		Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov, Stijn Vanderlooy: Version Space Support Vector Machines. ECAI 2006: 809-810
17		Evgueni N. Smirnov, Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper: Meta-Typicalness Approach to Reliable Classification. ECAI 2006: 811-812
16		Evgueni N. Smirnov, A. M. Kaptein: Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification. ICDM Workshops 2006: 739-743
15		Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev: Generalizing Version Space Support Vector Machines for Non-Separable Data. ICDM Workshops 2006: 744-748
	2004
14		Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik: One-Sided Instance-Based Boundary Sets. Database Support for Data Mining Applications 2004: 270-288
13		Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper: A Unifying Version-Space Representation. Ann. Math. Artif. Intell. 41(1): 47-76 (2004)
	2002
12		Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik: Efficient Instance Retraction. AIMSA 2002: 21-30
11		Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper: Adaptable Boundary Sets. AMAI 2002
10		Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper: Adaptable Boundary Sets. ISAIM 2002
9		Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik: New Version-Space Representations for Efficient Instance Retraction. KDID 2002: 32-49
	2000
8		Evgueni N. Smirnov, H. Jaap van den Herik: Applying Preference Biases to Conjunctive and Disjunctive Version Spaces. AIMSA 2000: 321-330
	1998
7		Evgueni N. Smirnov, Peter J. Braspenning: Version Space Retraction with Instance-Based Boundary Sets. AIMSA 1998: 389-402
6		Evgueni N. Smirnov, Peter J. Braspenning: Version Space Learning with Instance-Based Boundary Sets. ECAI 1998: 460-464
5		Evgueni N. Smirnov: A Report on the ECAI-98 Conference from the Machine Learning Perspective. AI Commun. 11(3-4): 233-235 (1998)
	1996
4		Nikolay I. Nikolaev, Evgueni N. Smirnov: Stochastically Guided Disjunctive Version Space Learning. ECAI 1996: 443-447
	1995
3		Nikolay I. Nikolaev, Evgueni N. Smirnov: Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract). ECML 1995: 327-330
2		Evgueni N. Smirnov, Nikolay I. Nikolaev: Multiple Explanation-based Learning Guided by Space Fragmenting. SCAI 1995: 85-96
	1992
1		Evgueni N. Smirnov: Space Fragmenting - A Method of Disjunctive Concept Acquisition. AIMSA 1992: 97-104

Coauthor Index

1	Peter J. Braspenning	[6] [7]
2	H. Jaap van den Herik	[8] [9] [10] [11] [12] [13] [14] [22]
3	A. M. Kaptein	[16] [21]
4	Fiona Mavroudis	[24]
5	Derrick Takeshi Mirikitani	[25]
6	Matthijs Moed	[23] [29]
7	Dilyan I. Nalbantov	[24]
8	Georgi I. Nalbantov	[18] [21] [24] [26] [27] [28] [29]
9	Karl Nienhaus	[24]
10	Nikolay I. Nikolaev (Nikolay Y. Nikolaev)	[2] [3] [4] [15] [19] [25] [26] [28] [30]
11	J. van Prehn	[20]
12	Ida G. Sprinkhuizen-Kuyper	[9] [10] [11] [12] [13] [14] [15] [17] [18] [22] [29]
13	Peter Tiño (Peter Tino)	[30]
14	Stijn Vanderlooy	[17] [18] [22]
15	Manuel Warcholik	[24]
16	Gerhard Weiss	[24]

Colors in the list of coauthors

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