Nikolay I. Nikolaev

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 1

Top Topics

Connectionist Networks

Expert Opinions

Multi Label Classification

Image Annotation

Top Venues

HCOMP (Works in Progress / Demos)

Publications

Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev
Multi-view Semi-supervised Learning Using Privileged Information. EANN (2023)
Evgueni N. Smirnov, Hua Zhang, Ralf Peeters, Nikolay I. Nikolaev, Maike Imkamp
Aggregating Human-Expert Opinions for Multi-Label Classification. HCOMP (Works in Progress / Demos) (2013)
Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov
Time-dependent series variance learning with recurrent mixture density networks. Neurocomputing 122 (2013)
Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov
Time-Dependent Series Variance Estimation via Recurrent Neural Networks. ICANN (1) (2011)
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks. Neural Comput. Appl. 20 (1) (2011)
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
Efficient online recurrent connectionist learning with the ensemble Kalman filter. Neurocomputing 73 (4-6) (2010)
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
Recursive Bayesian recurrent neural networks for time-series modeling. IEEE Trans. Neural Networks 21 (2) (2010)
Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov
Single-Stacking Conformity Approach to Reliable Classification. AIMSA (2010)
Evgueni N. Smirnov, Georgi I. Nalbantov, Nikolay I. Nikolaev
-Consistency Tests. ECML/PKDD (3) (2010)
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks. ICMLA (2008)
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
Recurrent Expectation Maximization Neural Modeling. CIMCA/IAWTIC/ISE (2008)
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks. IJCNN (2007)
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev
Generalizing Version Space Support Vector Machines for Non-Separable Data. ICDM Workshops (2006)
Nikolay I. Nikolaev, Hitoshi Iba
Polynomial harmonic GMDH learning networks for time series modeling. Neural Networks 16 (10) (2003)
Nikolay I. Nikolaev, Lilian M. de Menezes, Hitoshi Iba
Overfitting avoidance in genetic programming of polynomials. IEEE Congress on Evolutionary Computation (2002)
Nikolay I. Nikolaev, Hitoshi Iba
Genetic Programming of Polynomial Harmonic Networks Using the Discrete Fourier Transform. Int. J. Neural Syst. 12 (5) (2002)
Nikolay I. Nikolaev, Hitoshi Iba
Genetic programming of polynomial harmonic models using the discrete Fourier transform. CEC (2001)
Nikolay I. Nikolaev, Hitoshi Iba
Accelerated Genetic Programming of Polynomials. Genet. Program. Evolvable Mach. 2 (3) (2001)
Nikolay I. Nikolaev
Genetic Programming and Data Structures: Genetic Programming+Data Structures=Automatic Programming. Softw. Focus 2 (4) (2001)
Nikolay I. Nikolaev, Hitoshi Iba
Genetic programming of polynomial harmonic models using the discrete Fourier transform. CEC (2001)
Nikolay I. Nikolaev, Hitoshi Iba
Regularization approach to inductive genetic programming. IEEE Trans. Evol. Comput. 5 (4) (2001)
Nikolay I. Nikolaev, Hitoshi Iba
Automated Discovery of Polynomials by Inductive Genetic Programming. PKDD (1999)
Vanio Slavov, Nikolay I. Nikolaev
Genetic Algorithms, Fitness Sublandscapes and Subpopulations. FOGA (1998)
Nikolay I. Nikolaev, Vanio Slavov
Inductive Genetic Programming with Decision Trees. Intell. Data Anal. 2 (1-4) (1998)
Nikolay I. Nikolaev, Vanio Slavov
Concepts of Inductive Genetic Programming. EuroGP (1998)
Vanio Slavov, Nikolay I. Nikolaev
Immune Network Dynamics for Inductive Problem Solving. PPSN (1998)
Vanio Slavov, Nikolay I. Nikolaev
Fitness Landscapes and Inductive Genetic Programming. ICANNGA (1997)
Nikolay I. Nikolaev, Vanio Slavov
Inductive Genetic Programming with Decision Trees. ECML (1997)
Vanio Slavov, Nikolay I. Nikolaev
Inductive Genetic Programming and Superposition of Fitness Landscapes. ICGA (1997)
Nikolay I. Nikolaev, Evgueni N. Smirnov
Stochastically Guided Disjunctive Version Space Learning. ECAI (1996)
Evgueni N. Smirnov, Nikolay I. Nikolaev
Multiple Explanation-based Learning Guided by Space Fragmenting. SCAI (1995)
Nikolay I. Nikolaev, Evgueni N. Smirnov
Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract). ECML (1995)