Acoustic Emotion Recognition - Two Ways of Features Selection based on Self-Adaptive Multi-Objective Genetic Algorithm. - Christina Brester; Maxim Sidorov; Eugene Semenkin (ICINCO (2), 2014)

Speaker State Recognition with Neural Network-based Classification and Self-adaptive Heuristic Feature Selection. - Maxim Sidorov; Christina Brester; Eugene Semenkin; Wolfgang Minker (ICINCO (1), 2014)

Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm. - Maxim Sidorov; Christina Brester; Wolfgang Minker; Eugene Semenkin (LREC, 2014)

Evolutionary feature selection for emotion recognition in multilingual speech analysis. - Christina Brester; Eugene Semenkin; Igor Kovalev; Pavel Zelenkov; Maxim Sidorov (CEC, 2015)

Multicriteria Neural Network Design in the Speech-based Emotion Recognition Problem. - Christina Brester; Eugene Semenkin; Maxim Sidorov; Olga Semenkina (ICINCO (1), 2015)

Contemporary stochastic feature selection algorithms for speech-based emotion recognition. - Maxim Sidorov; Christina Brester; Alexander Schmitt (INTERSPEECH, 2015)

Cooperative Multi-objective Genetic Algorithm with Parallel Implementation. - Christina Brester; Eugene Semenkin (ICSI (1), 2015)

Comparison of Two-Criterion Evolutionary Filtering Techniques in Cardiovascular Predictive Modelling. - Christina Brester; Jussi Kauhanen; Tomi-Pekka Tuomainen; Eugene Semenkin; Mikko Kolehmainen (ICINCO (1), 2016)

Choice of Spacecraft Control Contour Variant with Self-configuring Stochastic Algorithms of Multi-criteria Optimization. - Maria Semenkina; Shakhnaz Akhmedova; Christina Brester; Eugene Semenkin (ICINCO (1), 2016)

Salient Cross-Lingual Acoustic and Prosodic Features for English and German Emotion Recognition. - Maxim Sidorov; Christina Brester; Stefan Ultes; Alexander Schmitt (IWSDS, 2016)

Multi-Objective Heuristic Feature Selection for Speech-Based Multilingual Emotion Recognition. - Christina Brester; Eugene Semenkin; Maxim Sidorov (J. Artif. Intell. Soft Comput. Res., 2016)

Multi-objective Order Reduction Problem Solving with Restart Meta-heuristic Implementation. - Ivan Ryzhikov; Christina Brester; Eugene Semenkin (ICINCO (1), 2017)

Multi-objective Dynamical System Parameters and Initial Value Identification Approach in Chemical Disintegration Reaction Modelling. - Ivan Ryzhikov; Christina Brester; Eugene Semenkin (ICINCO (1), 2017)

Inverse Mathematical Modelling of Hexadecane Disintegration Reaction with Cooperative Multi-objective Genetic Algorithms. - Ivan Ryzhikov; Christina Brester; Eugene Semenkin (ICINCO (Selected Papers), 2017)

On Performance Improvement Based on Restart Meta-Heuristic Implementation for Solving Multi-objective Optimization Problems. - Christina Brester; Ivan Ryzhikov; Eugene Semenkin (ICSI (2), 2017)

A Novel Linear Time Invariant Systems Order Reduction Approach Based on a Cooperative Multi-objective Genetic Algorithm. - Ivan Ryzhikov; Christina Brester; Eugene Semenkin (ICSI (2), 2017)

Multi-Objective Approach for Support Vector Machine Parameter Optimization and Variable Selection in Cardiovascular Predictive Modeling. - Christina Brester; Ivan Ryzhikov; Tomi-Pekka Tuomainen; Ari Voutilainen; Eugene Semenkin; Mikko Kolehmainen (ICINCO (1), 2018)

Multi-objective Evolutionary Approach in the Linear Dynamical System Inverse Modeling. - Ivan Ryzhikov; Christina Brester; Eugene Semenkin; Mikko Kolehmainen (IJCCI, 2018)

On Island Model Performance for Cooperative Real-Valued Multi-objective Genetic Algorithms. - Christina Brester; Ivan Ryzhikov; Eugene Semenkin; Mikko Kolehmainen (ICSI (1), 2018)

Evolutionary methods for variable selection in the epidemiological modeling of cardiovascular diseases. - Christina Brester; Jussi Kauhanen; Tomi-Pekka Tuomainen; Sari Voutilainen; Mauno Rönkkö; Kimmo Ronkainen; Eugene Semenkin; Mikko Kolehmainen (BioData Min., 2018)

On a restart metaheuristic for real-valued multi-objective evolutionary algorithms. - Christina Brester; Ivan Ryzhikov; Eugene Semenkin; Mikko Kolehmainen (GECCO (Companion), 2019)

Tuning Parameters of Differential Evolution: Self-adaptation, Parallel Islands, or Co-operation. - Christina Brester; Ivan Ryzhikov (IJCCI, 2019)

Evolutionary Fuzzy Logic-based Model Design in Predicting Coronary Heart Disease and Its Progression. - Christina Brester; Vladimir Stanovov; Ari Voutilainen; Tomi-Pekka Tuomainen; Eugene Semenkin; Mikko Kolehmainen (IJCCI, 2019)

Restart Operator for Optimization Heuristics in Solving Linear Dynamical System Parameter Identification Problem. - Ivan Ryzhikov; Christina Brester (IJCCI, 2019)

Weather-based Fault Prediction in Electricity Networks with Artificial Neural Networks. - Christina Brester; Harri Niska; Robert Ciszek; Mikko Kolehmainen (CEC, 2020)

Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience. - Daniel Gutierrez-Rojas; Aleksei Mashlakov; Christina Brester; Harri Niska; Mikko Kolehmainen; Arun Narayanan; Samuli Honkapuro; Pedro H. J. Nardelli (IEEE Access, 2021)