Nikolay I. Nikolaev

Lilian M. de Menezes

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013

Time-dependent series variance learning with recurrent mixture density networks.

[BibT_eX]

[DOI]

Peter Tiño

Neurocomputing, 2013

Heavy-tailed mixture GARCH volatility modeling and Value-at-Risk estimation.

[BibT_eX]

[DOI]

Georgi N. Boshnakov

Robert Zimmer

Expert Syst. Appl., 2013

Aggregating Human-Expert Opinions for Multi-Label Classification.

[BibT_eX]

[DOI]

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

2012

Analytical factor stochastic volatility modeling for portfolio allocation.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2011

Time-Dependent Series Variance Estimation via Recurrent Neural Networks.

[BibT_eX]

[DOI]

Peter Tiño

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Recursive Bayesian recurrent neural networks for time-series modeling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2010

Efficient online recurrent connectionist learning with the ensemble Kalman filter.

[BibT_eX]

[DOI]

Neurocomputing, 2010

<i>k</i>-Version-Space Multi-class Classification Based on <i>k</i>-Consistency Tests.

[BibT_eX]

[DOI]

Georgi I. Nalbantov

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Unscented grid filtering and elman recurrent networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Single-Stacking Conformity Approach to Reliable Classification.

[BibT_eX]

[DOI]

Georgi I. Nalbantov

Proceedings of the Artificial Intelligence: Methodology, 2010

2008

Sequential Bayesian kernel modelling with non-Gaussian noise.

[BibT_eX]

[DOI]

Lilian M. de Menezes

Neural Networks, 2008

Description Identification and the Consistency Problem.

[BibT_eX]

[DOI]

Georgi I. Nalbantov

Proceedings of the Research and Development in Intelligent Systems XXV, 2008

Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Recurrent Expectation Maximization Neural Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007

Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

2006

Generalizing Version Space Support Vector Machines for Non-Separable Data.

[BibT_eX]

[DOI]

Ida G. Sprinkhuizen-Kuyper

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2003

Learning polynomial feedforward neural networks by genetic programming and backpropagation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2003

Polynomial harmonic GMDH learning networks for time series modeling.

[BibT_eX]

[DOI]

Neural Networks, 2003

2002

Genetic Programming of Polynomial Harmonic Networks Using the Discrete Fourier Transform.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2002

Overfitting avoidance in genetic programming of polynomials.

[BibT_eX]

[DOI]

Lilian M. de Menezes

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

Regularization approach to inductive genetic programming.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2001

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

[BibT_eX]

[DOI]

Softw. Focus, 2001

Accelerated Genetic Programming of Polynomials.

[BibT_eX]

[DOI]

Genet. Program. Evolvable Mach., 2001

Genetic programming of polynomial harmonic models using the discrete Fourier transform.

[BibT_eX]

[DOI]

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

1999

Automated Discovery of Polynomials by Inductive Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

1998

Inductive Genetic Programming with Decision Trees.

[BibT_eX]

[DOI]

Intell. Data Anal., 1998

Immune Network Dynamics for Inductive Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 1998

Genetic Algorithms, Fitness Sublandscapes and Subpopulations.

[BibT_eX]

Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998

Concepts of Inductive Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming, First European Workshop, 1998

1997

Inductive Genetic Programming and Superposition of Fitness Landscapes.

[BibT_eX]

Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Fitness Landscapes and Inductive Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1996

Stochastically Guided Disjunctive Version Space Learning.

[BibT_eX]

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1995

Multiple Explanation-based Learning Guided by Space Fragmenting.

[BibT_eX]

Proceedings of the Fifth Scandinavian Conference on Artificial Intelligence, 1995

Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract).

[BibT_eX]

[DOI]