Nikolay I. Nikolaev

32 papers A 3B 6C 2Misc 1Journal 10Unranked 10
YearRankTypeTitle / Venue / Authors
2023 C conf
Multi-view Semi-supervised Learning Using Privileged Information.
EANN
Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev
2013 — conf
Aggregating Human-Expert Opinions for Multi-Label Classification.
HCOMP (Works in Progress / Demos)
Evgueni N. Smirnov, Hua Zhang, Ralf Peeters, Nikolay I. Nikolaev, Maike Imkamp
2013 J jnl
Time-dependent series variance learning with recurrent mixture density networks.
Neurocomputing
Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov
2011 J jnl
Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks.
Neural Comput. Appl.
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
2011 — conf
Time-Dependent Series Variance Estimation via Recurrent Neural Networks.
ICANN (1)
Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov
2010 J jnl
Efficient online recurrent connectionist learning with the ensemble Kalman filter.
Neurocomputing
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
2010 J jnl
Recursive Bayesian recurrent neural networks for time-series modeling.
IEEE Trans. Neural Networks
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
2010 Misc conf
Single-Stacking Conformity Approach to Reliable Classification.
AIMSA
Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov
2008 C conf
Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks.
ICMLA
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
2008 — conf
Recurrent Expectation Maximization Neural Modeling.
CIMCA/IAWTIC/ISE
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
2007 B conf
Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks.
IJCNN
Derrick Takeshi Mirikitani, Nikolay I. Nikolaev
2006 — conf
Generalizing Version Space Support Vector Machines for Non-Separable Data.
ICDM Workshops
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev
2005 B conf
Sequential relevance vector machine learning from time series.
IJCNN
Nikolay I. Nikolaev, Peter Tino
2003 J jnl
Polynomial harmonic GMDH learning networks for time series modeling.
Neural Networks
Nikolay I. Nikolaev, Hitoshi Iba
2002 J jnl
Genetic Programming of Polynomial Harmonic Networks Using the Discrete Fourier Transform.
Int. J. Neural Syst.
Nikolay I. Nikolaev, Hitoshi Iba
2002 B conf
Overfitting avoidance in genetic programming of polynomials.
IEEE Congress on Evolutionary Computation
Nikolay I. Nikolaev, Lilian M. de Menezes, Hitoshi Iba
2001 J jnl
Accelerated Genetic Programming of Polynomials.
Genet. Program. Evolvable Mach.
Nikolay I. Nikolaev, Hitoshi Iba
2001 J jnl
Genetic Programming and Data Structures: Genetic Programming+Data Structures=Automatic Programming.
Softw. Focus
Nikolay I. Nikolaev
2001 B conf
Genetic programming of polynomial harmonic models using the discrete Fourier transform.
CEC
Nikolay I. Nikolaev, Hitoshi Iba
2001 B conf
Genetic programming of polynomial harmonic models using the discrete Fourier transform.
CEC
Nikolay I. Nikolaev, Hitoshi Iba
2001 J jnl
Regularization approach to inductive genetic programming.
IEEE Trans. Evol. Comput.
Nikolay I. Nikolaev, Hitoshi Iba
1999 — conf
Automated Discovery of Polynomials by Inductive Genetic Programming.
PKDD
Nikolay I. Nikolaev, Hitoshi Iba
1998 B conf
Concepts of Inductive Genetic Programming.
EuroGP
Nikolay I. Nikolaev, Vanio Slavov
1998 A conf
Genetic Algorithms, Fitness Sublandscapes and Subpopulations.
FOGA
Vanio Slavov, Nikolay I. Nikolaev
1998 A conf
Immune Network Dynamics for Inductive Problem Solving.
PPSN
Vanio Slavov, Nikolay I. Nikolaev
1998 J jnl
Inductive Genetic Programming with Decision Trees.
Intell. Data Anal.
Nikolay I. Nikolaev, Vanio Slavov
1997 — conf
Fitness Landscapes and Inductive Genetic Programming.
ICANNGA
Vanio Slavov, Nikolay I. Nikolaev
1997 — conf
Inductive Genetic Programming and Superposition of Fitness Landscapes.
ICGA
Vanio Slavov, Nikolay I. Nikolaev
1997 — conf
Inductive Genetic Programming with Decision Trees.
ECML
Nikolay I. Nikolaev, Vanio Slavov
1996 A conf
Stochastically Guided Disjunctive Version Space Learning.
ECAI
Nikolay I. Nikolaev, Evgueni N. Smirnov
1995 — conf
Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract).
ECML
Nikolay I. Nikolaev, Evgueni N. Smirnov
1995 — conf
Multiple Explanation-based Learning Guided by Space Fragmenting.
SCAI
Evgueni N. Smirnov, Nikolay I. Nikolaev