Research topics 2017 » History » Version 2
Evgeniy Pavlovskiy, 2017-11-17 00:45
| 1 | 1 | Evgeniy Pavlovskiy | h1. Research topics |
|---|---|---|---|
| 2 | 1 | Evgeniy Pavlovskiy | |
| 3 | 2 | Evgeniy Pavlovskiy | h2. Sviridenko, Dmitry Ivanovich [SDI]. |
| 4 | 1 | Evgeniy Pavlovskiy | |
| 5 | 2 | Evgeniy Pavlovskiy | Doctor of Sciences, leading researcher at SDAML lab NSU, leading researcher at Sobolev Institute of Mathematics. |
| 6 | 2 | Evgeniy Pavlovskiy | Contacts: dsviridenko47@gmail.com |
| 7 | 2 | Evgeniy Pavlovskiy | |
| 8 | 2 | Evgeniy Pavlovskiy | 1. Semantic contracts development: semantic models, blockchain, semantic programming [SDI] |
| 9 | 2 | Evgeniy Pavlovskiy | |
| 10 | 2 | Evgeniy Pavlovskiy | h2. Vityaev, Evgeniy Evgenievich |
| 11 | 2 | Evgeniy Pavlovskiy | |
| 12 | 2 | Evgeniy Pavlovskiy | Contacts: vityaev@math.nsc.ru |
| 13 | 2 | Evgeniy Pavlovskiy | |
| 14 | 2 | Evgeniy Pavlovskiy | Doctor of Sciences, leading researcher at Sobolev Institute of Mathematics, leading researcher at SDAML lab NSU. |
| 15 | 2 | Evgeniy Pavlovskiy | Keyword: ScientificDiscovery (can be found via every search engine). http://math.nsc.ru/AP/ScientificDiscovery |
| 16 | 2 | Evgeniy Pavlovskiy | |
| 17 | 2 | Evgeniy Pavlovskiy | 2. New forecasting method development in Finance [VEE] |
| 18 | 2 | Evgeniy Pavlovskiy | 3. Logically probabilistic deep learning [VEE] |
| 19 | 2 | Evgeniy Pavlovskiy | 4. Human comprehension and new notion formation modeling [VEE] |
| 20 | 2 | Evgeniy Pavlovskiy | |
| 21 | 2 | Evgeniy Pavlovskiy | h2. Kolonin, Anton Germanovich [KAG], Ph.D. |
| 22 | 1 | Evgeniy Pavlovskiy | |
| 23 | 1 | Evgeniy Pavlovskiy | Contacts: akolonin@aigents.com. |
| 24 | 1 | Evgeniy Pavlovskiy | |
| 25 | 1 | Evgeniy Pavlovskiy | 5. Proof-or-Reputation consensus algorithm for distributed computing (mathematical study of security and simulation modeling) |
| 26 | 1 | Evgeniy Pavlovskiy | 6. Structuring society and figuring out opinion leaders using online communication data (using machine learning and different data sources and subject domains) |
| 27 | 1 | Evgeniy Pavlovskiy | 7. Extracting emotional contexts from online communication data (using machine learning and different data sources and subject domains) |
| 28 | 1 | Evgeniy Pavlovskiy | 8. Unsupervised learning of linguistic patterns and grammar (using machine learning and training corpora from different domains and languages) |