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https://github.com/yaricom/yaricom

My GitHub profile
https://github.com/yaricom/yaricom

Last synced: 11 days ago
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My GitHub profile

Host: GitHub
URL: https://github.com/yaricom/yaricom
Owner: yaricom
Created: 2023-02-08T19:40:10.000Z (almost 2 years ago)
Default Branch: main
Last Pushed: 2024-12-20T16:38:42.000Z (14 days ago)
Last Synced: 2024-12-20T17:42:59.013Z (14 days ago)
Size: 28.3 KB
Stars: 0
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        ![Iaroslav Omelianenko's GitHub stats](https://github-readme-stats.vercel.app/api?username=yaricom&count_private=true&show_icons=true&theme=transparent) ![Top Langs](https://github-readme-stats.vercel.app/api/top-langs/?username=yaricom&layout=compact)

### 📖 My Books

- **Hands-On Neuroevolution with Python:** Build high-performing artificial neural network architectures using neuroevolution-based algorithms.

ISBN: [978-1-838-82491-4](https://www.worldcat.org/isbn/9781838824914) ( [Packt](https://www.packtpub.com/product/hands-on-neuroevolution-with-python/9781838824914) | [O’Reilly](https://www.oreilly.com/library/view/hands-on-neuroevolution-with/9781838824914/) | [Google Books](https://books.google.com/books?id=iiLHDwAAQBAJ&printsec=frontcover&dq=Hands-On+Neuroevolution+with+Python&hl=en&sa=X&redir_esc=y#v=onepage&q=Hands-On%20Neuroevolution%20with%20Python&f=false) | [Amazon](https://www.amazon.com/Hands-Neuroevolution-Python-high-performing-neuroevolution-based/dp/183882491X/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1658229322&sr=) )

- **Machine Learning and the City.** Chapter 12 Autonomous Artificial Intelligent Agents.

DOI: [10.1002/9781119815075.ch21](https://doi.org/10.1002/9781119815075.ch21) part of ISBN: [978-1-119-74963-9](https://www.worldcat.org/isbn/9781119749639) ( [Wiley-Blackwell](https://www.wiley.com/en-gb/Machine+Learning+and+the+City%3A+Applications+in+Architecture+and+Urban+Design-p-9781119749639) | [Wiley Online Library](https://onlinelibrary.wiley.com/doi/10.1002/9781119815075.ch21) | [Google Books](https://books.google.com/books/about/Machine_Learning_and_the_City.html?id=phh1EAAAQBAJ&printsec=frontcover&source=kp_read_button&hl=en&redir_esc=y#v=onepage&q&f=false) | [Amazon](https://www.amazon.com/Machine-Learning-City-Applications-Architecture/dp/1119749638/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=&sr=) )

  

### 📑 My Papers

- Omelianenko, I. Design of Cluster-Computing Architecture to Improve Training Speed of the Neuroevolution Algorithm. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Ninth International Congress on Information and Communication Technology. ICICT 2024. Lecture Notes in Networks and Systems. Singapore, Springer, ISSN: 2367-3370, 2024. Vol 1012. P. 397-408. [DOI: 10.1007/978-981-97-3556-3_32](https://doi.org/10.1007/978-981-97-3556-3_32)

- Omelianenko, I. and Sinitsyn, I. **Artificial swarm intelligence.** _International Scientific Technical Journal "Problems of Control and Informatics"_, 2024, Vol. 69. N 3. P. 91–103. [DOI: 10.34229/1028-0979-2024-3-7](https://doi.org/10.34229/1028-0979-2024-3-7)

- Omelianeko, I. **Simulation of the autonomous maze navigation using the NEAT algorithm.** _Problems in programming_, 2023. Vol. 4, P. 76–89. [DOI: 10.15407/pp2023.04.076](https://doi.org/10.15407/pp2023.04.076)

- Omelianeko, I. **Artificial Swarm Intelligence and Cooperative Robotic Systems.** _Preprints.org_, 2019, P. 1–8. [DOI: 10.20944/preprints201901.0282.v1](https://www.preprints.org/manuscript/201901.0282/v1) 

- Omelianenko, I. **Creation of Autonomous Artificial Intelligent Agents using Novelty Search method of fitness function optimization.** _Hal.science_, 2018. P. 1–7. [URL: https://hal.science/hal-01868756](https://hal.science/hal-01868756)

- Omelianenko, Iaroslav. **Applying Deep Machine Learning for Psycho-Demographic Profiling of Internet Users Using O.C.E.A.N. Model of Personality.** _arXiv [Cs.LG]_, 2017. P. 1–24. [DOI: 10.48550/arxiv.1703.06914](https://doi.org/10.48550/arxiv.1703.06914)

- Omelianenko, Iaroslav. **Applying Advanced Machine Learning Models to Classify Electro-Physiological Activity of Human Brain for Use in Biometric Identification.** _arXiv [Cs.LG]_, 2017. P. 1–8.  [DOI: 10.48550/arxiv.1708.01167](https://doi.org/10.48550/arxiv.1708.01167)

### 🔭 Researcher Profiles

- [Google Scholar](https://scholar.google.com.ua/citations?user=Ol0asEUAAAAJ&hl=en)

- [Research Gate](https://www.researchgate.net/profile/Iaroslav-Omelianenko/publications)

- [ORCID: 0000-0002-2190-5664](https://orcid.org/0000-0002-2190-5664)

- [Scopus](https://www.scopus.com/authid/detail.uri?authorId=57219478752&origin=recordPage#)

- [SciProfiles](https://sciprofiles.com/profile/io42)