Nikolay I. Nikolaev

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Efficient online recurrent connectionist learning with the ensemble Kalman filter

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, N. Nikolaev, 2010, Neurocomputing.

Polynomial harmonic GMDH learning networks for time series modeling

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2003, Neural Networks.

Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, N. Nikolaev, 2011, Neural Computing and Applications.

Learning polynomial feedforward neural networks by genetic programming and backpropagation

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2003, IEEE Trans. Neural Networks.

Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, N. Nikolaev, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Genetic Programming and Data Structures: Genetic Programming+Data Structures=Automatic Programming

Nikolay I. Nikolaev, N. Nikolaev, 2001, Softw. Focus.

Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks

Nikolay I. Nikolaev, Derrick Takeshi Mirikitani, 2007, 2007 International Joint Conference on Neural Networks.

Multiple Explanation-based Learning Guided by Space Fragmenting

Nikolay I. Nikolaev, Evgueni N. Smirnov, 1995, SCAI.

Nonlinear filtering of asymmetric stochastic volatility models and Value-at-Risk estimation

Nikolay I. Nikolaev, Evgueni N. Smirnov, Lilian M. de Menezes, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Fitness Landscapes and Inductive Genetic Programming

Nikolay I. Nikolaev, Vanio Slavov, N. Nikolaev, 1997, ICANNGA.

Unscented grid filtering and elman recurrent networks

Nikolay I. Nikolaev, Evgueni N. Smirnov, Derrick Takeshi Mirikitani, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Generalizing Version Space Support Vector Machines for Non-Separable Data

Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev, Evgueni N. Smirnov, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Time-Dependent Series Variance Estimation via Recurrent Neural Networks

Peter Tiño, Nikolay I. Nikolaev, Evgueni N. Smirnov, 2011, ICANN.

Analytical factor stochastic volatility modeling for portfolio allocation

Nikolay I. Nikolaev, Evgueni N. Smirnov, N. Nikolaev, 2012, 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Inductive genetic programming with immune network dynamics

Hitoshi Iba, Nikolay I. Nikolaev, Vanio Slavov, 1999 .

Accelerated Genetic Programming of Polynomials

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2001, Genetic Programming and Evolvable Machines.

Inductive Genetic Programming with Decision Trees

Nikolay I. Nikolaev, Vanio Slavov, N. Nikolaev, 1997, Intell. Data Anal..

Instance-Based Decompositions of Error Correcting Output Codes

Ralf Peeters, Nikolay I. Nikolaev, Evgueni N. Smirnov, 2015, MCS.

Immune Network Dynamics for Inductive Problem Solving

Nikolay I. Nikolaev, Vanio Slavov, 1998, PPSN.

A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems

Nikolay I. Nikolaev, Evgueni N. Smirnov, N. Nikolaev, 2007, ICANN.

Aggregating Human-Expert Opinions for Multi-Label Classification

Ralf Peeters, Hua Zhang, Nikolay I. Nikolaev, 2013, HCOMP.

Stochastically Guided Disjunctive Version Space Learning

Nikolay I. Nikolaev, Evgueni N. Smirnov, 1996, ECAI.

Time-dependent series variance learning with recurrent mixture density networks

Peter Tiño, Nikolay I. Nikolaev, Evgueni N. Smirnov, 2013, Neurocomputing.

Description Identification and the Consistency Problem

Nikolay I. Nikolaev, Evgueni N. Smirnov, Georgi I. Nalbantov, 2008, SGAI Conf..

Genetic Algorithms, Fitness Sublandscapes and Subpopulations

Nikolay I. Nikolaev, Vanio Slavov, 1998, FOGA.

Inductive Genetic Programming and Superposition of Fitness Landscapes

Nikolay I. Nikolaev, Vanio Slavov, 1997, ICGA.

Genetic programming of polynomial harmonic models using the discrete Fourier transform

Hitoshi Iba, Nikolay I. Nikolaev, H. Iba, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Overfitting avoidance in genetic programming of polynomials

Hitoshi Iba, Nikolay I. Nikolaev, Lilian M. de Menezes, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).