| Hands-On Neuroevolution with Python: Build high-performing artificial neural network architectures using neuroevolution-based algorithms I Omelianenko | 32 | 2019 |
| Autonomous Artificial Intelligent Agents I Omelianenko Machine Learning and the City: Applications in Architecture and Urban Design …, 2022 | 3 | 2022 |
| Applying Deep Machine Learning for psycho-demographic profiling of Internet users using OCEAN model of personality I Omelianenko arXiv preprint arXiv:1703.06914, 2017 | 3 | 2017 |
| Artificial Swarm Intelligence and Cooperative Robotic Systems I Omelianenko | 1 | 2019 |
| Applying advanced machine learning models to classify electro-physiological activity of human brain for use in biometric identification I Omelianenko arXiv preprint arXiv:1708.01167, 2017 | 1 | 2017 |
| The GOlang implementation of NeuroEvolution of Augmenting Topologies (NEAT) algorithm I Omelianenko https://doi.org/10.5281/zenodo.13628842, 2024 | | 2024 |
| Штучний ройовий інтелект I Omelianenko, I Sinitsyn International Scientific Technical Journal" Problems of Control and …, 2024 | | 2024 |
| The GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization I Omelianenko https://doi.org/10.5281/zenodo.10951521, 2024 | | 2024 |
| Design of Cluster-Computing Architecture to Improve Training Speed of the Neuroevolution Algorithm I Omelianenko International Congress on Information and Communication Technology, 397-408, 2024 | | 2024 |
| Simulation of the autonomous maze navigation using the NEAT algorithm. IV Omelianenko Problems of Programming, 76-89, 2023 | | 2023 |
| Creation of Autonomous Artificial Intelligent Agents using Novelty Search method of fitness function optimization I Omelianenko | | 2018 |
| Method of Data Exchange Y Omelianenko | | 2008 |
