Evgueni Smirnov

 

Publications 2004-2010

 

 

Journals

 

Smirnov, E.N., Nalbantov, G.I., and Kaptein, A., (2009).  Meta-Conformity Approach to Reliable Classification, to appear in Intelligent Data Analysis Journal 13(6), pp. 901-915.

Vanderlooy, S., Sprinkhuizen-Kuyper, I., Smirnov, E.N.,  and van den Herik. J. (2009).  The ROC Isometrics Approach to Construct Reliable Classifiers. To appear in Intelligent Data Analysis Journal 13 (1), pp. 3-37.

Nikolaev, N., and Smirnov, E.N. (2007). Stochastic Volatility Inference with Monte Carlo Filters, Wilmott Magazine, Willey.

Smirnov, E.N., Sprinkhuizen-Kuyper, I. G. and van den Herik, H.J. (2006). Adaptable One-Sided Boundary Sets, (submitted).

Smirnov, E.N., Sprinkhuizen-Kuyper, I. G. and van den Herik, H.J. (2006). Version Spaces with Instance-Based Boundary Sets, (submitted).

Smirnov, E.N., Van den Herik, H.J., and Sprinkhuizen-Kuyper, I.G. (2004).  A Unifying Version-Space Representation. Annals of Mathematics and Artificial Intelligence 41 (1): 47-76, May 2004. See http://dx.doi.org/10.1023/B:AMAI.0000018576.88552.df

 

 

Book Chapters

 

Smirnov, E.N., Sprinkhuizen-Kuyper, I.G., and Van den Herik, H.J. (2004).  One-Sided Instance-Based Boundary Sets. In: Meo, R., Lanzi, P. L., and Klemettinen, M. (eds.). Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, Lecture Notes in Artificial Intelligence , Vol. 2682, Springer.

 

 

Conferences

 

Nikolaev,N. and Smirnov, E. (2009). Unscented Grid Filtering and Smoothing for Nonlinear Time Series Analysis, In: Proc. of the Int. Conference on Neural Networks ICNN-2009, Oslo, Norway, pp.222-228.

M. Moed, Evgueni N. Smirnov (2009). Efficient AdaBoost Region Classification. In Procceding of 6th International Conference Machine Learning and Data Mining in Pattern Recognition (MLDM 2009), Leipzig, Germany, July 23-25, 2009. Lecture Notes in Computer Science 5632 Springer, pp.: 123-136.

Smirnov, E.N., Nikolaev, N., and Nalbantov, G.I..  (2008). Description Identification and the Consistency Problem. In Proceedings of the 28th SGAI International Conference on Innovative techniques and Applications of Artificial Intelligence (AI 2004), Springer, December, 2008,  Cambridge, UK, 2008.

Van Prehn, J., and Smirnov, E.N., (2008). Region Classification with Decision Trees. In: Proceedings of the Second  IEEE International Workshop on Reliability Issues in Knowledge Discovery (RIKD-08), IEEE Computer Society, pp. 53-59, Pisa, Italy, December 15, 2008. 

Smirnov, E.N., Winands,M., Spronck, P.,  and Schadd, M.  (2007). Constructing Reliable Classifiers for Road Side Assistance. Proceedings of the Annual Belgian-Dutch Machine Learning Conference (Benelearn 2007) (eds.  van Someren, M., Katrenko, S., and  Adriaans, P.), pp. 105-111. University of Amsterdam.

Nikolaev, N. and Smirnov, E.N. (2007). A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems, In: Proceeding of 17th International Conference on Artificial Neural Networks (ICANN-2007), Porto, Portugal, Lecture Notes in Computer Science 4668, Springer, pp.747-756.

Smirnov, E.N., Sprinkhuizen-Kuyper, I.G., and N.I. Nikolaev (2006). Generalizing Version Space Support Vector Machines for Non-Separable Data. In: Proceedings of the  IEEE International Workshop on Reliability Issues in Knowledge Discovery (RIKD'06), IEEE Computer Society, Hong Kong, China, December 18, 2006. pp. 744-748.

Smirnov, E.N. and A.M. Kaptein (2006). Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification. In: Proceedings of the  IEEE International Workshop on Reliability Issues in Knowledge Discovery (RIKD'06), IEEE Computer Society, Hong Kong, China, December 18, 2006 , pp. 739-743.

Smirnov, E.N.,  Vanderlooy, S., and Sprinkhuizen-Kuyper, I.G. (2006). Meta-Typicalness Approach to Reliable Classification. In: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI 2006), (pp.810-811), August 28 - September 1, Riva del Garda, Italy. [PDF]

Smirnov, E.N., Sprinkhuizen-Kuyper, I.G., Nalbantov, G.I., and Vanderlooy, S. (2006). Version Space Support Vector Machines. In: Proceedings of the 17th European Conference on Artificial Intelligence (ECAI 2006), (pp.809-810), August 28 - September 1, Riva del Garda, Italy. [PDF]

Vanderlooy,S., Sprinkhuizen-Kuyper,I.G.,  and Smirnov,E.N. (2006). An Analysis of Reliable Classifiers through ROC Isometrics. To appear in Proceedings of the ICML 2006 Workshop on ROC Analysis (ROCML 2006), Pittsburgh, USA. [PDF]

Vanderlooy, S.,  Sprinkhuizen-Kuyper, I.G.,  and Smirnov, E.N. (2006). Reliable Classifiers in ROC Space. In Proceedings of the 15th Annual Machine Learning Conference of Belgium and the Netherlands (BENELEARN 2006) (pp. 113 - 120), May 11-12, 2006, Ghent, Belgium. [PDF]

Smirnov, E.N.,  Sprinkhuizen-Kuyper, I.G., and Nalbantov, G.I. (2006). Reliable Classification with Version Spaces. In Proceedings of the 25th SGAI International Conference on Innovative techniques and Applications of Artificial Intelligence (AI 2004), Springer, December, 2005,  Cambridge, UK, 288-304, 2006.

Sprinkhuizen-Kuyper, I.G., Smirnov, E.N., and Nalbantov, G.I. (2005). Reliability yields Information Gain. Proceedings of the 14th Annual Machine Learning Conference of Belgium and the Netherlands: BENELEARN 2005, M. van Otterlo, M. Poel, and A. Nijholt (eds.), Februari 17-18 2005, Enschede, University of Twente. ISSN 0929-0672, CTIT Workshop Proceeding Series WP05-03, pp. 89-96. [PDF]

Smirnov, E.N., Sprinkhuizen-Kuyper, I.G., and Nalbantov, G. (2004). Anonymous Voting with Suport Vector Machines, in: Proceedings of the Sixteenth  Belgian-Dutch Conference on Artificial Intelligence (BNAIC-04),  43-50. [PDF]

Smirnov, E.N., Sprinkhuizen-Kuyper, I.G., and Van den Herik, H.J. (2004). Unifying Version Space Representations: Part Two, in: Proceedings of the Thirteenth  Belgian-Dutch Conference on Machine Learning (BENELEARN-04), 110-117. [PDF]