O. Semenkina

SELF-CONFIGURING HYBRID EVOLUTIONARY ALGORITHM FOR FUZZY CLASSIFIER DESIGN WITH ACTIVE LEARNING FOR UNBALANCED DATASETS

Russian Federation., M. Reshetnev, V. Stanovov, 2014 .

GENERIC SCHEME OF A RESTART META-HEURISTIC OPERATOR FOR MULTI-OBJECTIVE GENETIC ALGORITHMS

C. Brester, I. Ryzhikov, O. Semenkina, 2018 .

SELF-CONFIGURING HYBRID EVOLUTIONARY ALGORITHM FOR MULTI-CLASS UNBALANCED DATASETS

M. Reshetnev, V. Stanovov, O. Semenkina, 2015 .

Multi-objective genetic algorithms as an effective tool for feature selection in the speech-based emotion recognition problem

Olga Semenkina, Christina Brester, Maxim Sidorov, 2016 .

Multicriteria neural network design in the speech-based emotion recognition problem

Eugene Semenkin, Olga Semenkina, Maxim Sidorov, 2015, 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

Robust and reliable techniques for speech-based emotion recognition

Olga Semenkina, C. Yu Brester, M. Yu Sidorov, 2015 .

The optimal solution prediction for genetic and distribution building algorithms with binary representation

O. Semenkina, E. Sopov, 2015 .

Success-history based biology-inspired algorithms for global trajectory optimization

S. Akhmedova, V. Stanovov, O. Semenkina, 2019, IOP Conference Series: Materials Science and Engineering.

Hybrid approach to the dynamic systems identification based on the self-configuring genetic programming algorithm and the differential evolution method

T S Karaseva, O E Semenkina, O. Semenkina, 2021 .