Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare P Mamoshina, L Ojomoko, Y Yanovich, A Ostrovski, A Botezatu, ... Oncotarget 9 (5), 5665, 2018 | 445 | 2018 |
Flare: An approach to routing in lightning network P Prihodko, S Zhigulin, M Sahno, A Ostrovskiy, O Osuntokun White Paper (bitfury. com/content/5-white-papers-research …, 2016 | 173 | 2016 |
Emotion recognition from speech with recurrent neural networks V Chernykh, G Sterling, P Prihodko arXiv preprint arXiv:1701.08071, 2017 | 165 | 2017 |
Gtapprox: Surrogate modeling for industrial design M Belyaev, E Burnaev, E Kapushev, M Panov, P Prikhodko, D Vetrov, ... Advances in Engineering Software 102, 29-39, 2016 | 69 | 2016 |
Surrogate modeling of stability constraints for optimization of composite structures S Grihon, E Burnaev, M Belyaev, P Prikhodko Surrogate-based modeling and optimization: Applications in engineering, 359-391, 2013 | 37 | 2013 |
On a method for constructing ensembles of regression models. EV Burnaev, PV Prikhod'ko Autom. Remote. Control. 74 (10), 1630-1644, 2013 | 25 | 2013 |
Методология построения суррогатных моделей для аппроксимации пространственно неоднородных функций ЕВ Бурнаев, ПВ Приходько Труды Московского физико-технического института 5 (4 (20)), 122-132, 2013 | 20 | 2013 |
About hybrid algorithm for tuning of parameters in approximation based on linear expansions in parametric functions E Burnaev, M Belyaev, PV Prihodko Proceedings of the 8th International conference “Intelligent Information …, 2010 | 20 | 2010 |
Comparison of different techniques for surrogate modeling of stability constraints for composite structures S Grihon, S Alestra, D Bettebghor, E Burnaev, P Prikhodko Proceedings of 1st International Conference on Composite Dynamics, Archanon …, 2012 | 19 | 2012 |
Flare: an approach to routing in lightning network (2016) P Prihodko, S Zhigulin, M Sahno, A Ostrovskiy, O Osuntokun URL: https://bitfury. com/content/downloads/whitepaper_flare_an_approach_to …, 0 | 18 | |
Surrogate modeling of buckling analysis in support of composite structure optimization S Grihon, S Alestra, E Burnaev, P Prikhodko Proceedings of the 1st International Conference on Composite Dynamics …, 2012 | 16 | 2012 |
Modeling of nonstationary covariance function of gaussian process using decomposition in dictionary of nonlinear functions E Burnaev, A Zaytsev, M Panov, P Prihodko, Y Yanovich Information Technologies and Systems–2011, 2-7, 2011 | 11 | 2011 |
Approximation of multidimensional dependency based on an expansion in parametric functions from the dictionary EV Burnaev, MG Belyaev, PV Prihodko Minsk: BSU, 2010 | 10 | 2010 |
Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare. Oncotarget. 2018 Jan 19; 9 (5 … P Mamoshina, L Ojomoko, Y Yanovich, A Ostrovski, A Botezatu, ... | 10 | |
On approximation of reserve factors dependency on loads for composite stiffened panels G Sterling, P Prikhodko, E Burnaev, M Belyaev, S Grihon Advanced materials research 1016, 85-89, 2014 | 9 | 2014 |
Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare. Oncotarget 9: 5665–5690 P Mamoshina, L Ojomoko, Y Yanovich, A Ostrovski, A Botezatu, ... | 6 | 2018 |
Глубокое обучение в задаче распознавания эмоций из речи Г Стерлинг, П Приходько | 6 | 2016 |
Neural Approximation based on regression and boosting E Burnaev, M Belyaev, S Chernova, P Prihodko MMR 2009–Mathematical Methods in Reliability: Theory. Methods. Applications …, 2009 | 6 | 2009 |
Emotion recognition from speech with recurrent neural networks (2017) V Chernykh, P Prikhodko arXiv preprint arXiv:1701.08071, 0 | 6 | |
Flare: an approach to routing in lightning network. Whitepaper (2016) P Prihodko, S Zhigulin, M Sahno, A Ostrovskiy, O Osuntokun | 5 | 2016 |