| 2023 | EANN | Multi-view Semi-supervised Learning Using Privileged Information. | Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev |
| 2013 | HCOMP | Aggregating Human-Expert Opinions for Multi-Label Classification. | Evgueni N. Smirnov, Hua Zhang, Ralf Peeters, Nikolay I. Nikolaev, Maike Imkamp |
| 2011 | ICANN | Time-Dependent Series Variance Estimation via Recurrent Neural Networks. | Nikolay I. Nikolaev, Peter Tio, Evgueni N. Smirnov |
| 2010 | AIMSA | Single-Stacking Conformity Approach to Reliable Classification. | Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov |
| 2008 | ICMLA | Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural Networks. | Derrick Takeshi Mirikitani, Nikolay I. Nikolaev |
| 2007 | IJCNN | Recursive Bayesian Levenberg-Marquardt Training of Recurrent Neural Networks. | Derrick Takeshi Mirikitani, Nikolay I. Nikolaev |
| 2006 | ICDM | Generalizing Version Space Support Vector Machines for Non-Separable Data. | Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev |
| 2005 | IJCNN | Sequential relevance vector machine learning from time series. | Nikolay I. Nikolaev, Peter Tino |
| 2002 | CEC | Overfitting avoidance in genetic programming of polynomials. | Nikolay I. Nikolaev, Lilian M. de Menezes, Hitoshi Iba |
| 2001 | CEC | Genetic programming of polynomial harmonic models using the discrete Fourier transform. | Nikolay I. Nikolaev, Hitoshi Iba |
| 2001 | CEC | Genetic programming of polynomial harmonic models using the discrete Fourier transform. | Nikolay I. Nikolaev, Hitoshi Iba |
| 1998 | EUROGP | Concepts of Inductive Genetic Programming. | Nikolay I. Nikolaev, Vanio Slavov |
| 1998 | FOGA | Genetic Algorithms, Fitness Sublandscapes and Subpopulations. | Vanio Slavov, Nikolay I. Nikolaev |
| 1998 | PPSN | Immune Network Dynamics for Inductive Problem Solving. | Vanio Slavov, Nikolay I. Nikolaev |
| 1996 | ECAI | Stochastically Guided Disjunctive Version Space Learning. | Nikolay I. Nikolaev, Evgueni N. Smirnov |