Sergey Nikolenko
Sergey Nikolenko
Steklov Institute of Mathematics at St. Petersburg, Russia
Verified email at - Homepage
Cited by
Cited by
SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing
A Bankevich, S Nurk, D Antipov, AA Gurevich, M Dvorkin, AS Kulikov, ...
Journal of computational biology 19 (5), 455-477, 2012
Байесовские сети: логико-вероятностный подход
АЛ Тулупьев, СИ Николенко, АВ Сироткин
Наука, 2006
BayesHammer: Bayesian clustering for error correction in single-cell sequencing
SI Nikolenko, AI Korobeynikov, MA Alekseyev
BMC genomics 14 (S1), S7, 2013
Глубокое обучение
С Николенко, А Кадурин, Е Архангельская
" Издательский дом"" Питер""", 2017
Байесовские сети доверия: логико-вероятностный вывод в ациклических направленных графах
АЛ Тулупьев, АВ Сироткин, СИ Николенко
Изд-во Петербургского университета, 2009
druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular properties in silico
A Kadurin, S Nikolenko, K Khrabrov, A Aliper, A Zhavoronkov
Molecular pharmaceutics 14 (9), 3098-3104, 2017
Topic modelling for qualitative studies
SI Nikolenko, S Koltcov, O Koltsova
Journal of Information Science 43 (1), 88-102, 2017
FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry
A Palmer, P Phapale, I Chernyavsky, R Lavigne, D Fay, A Tarasov, ...
Nature methods 14 (1), 57-60, 2017
Самообучающиеся системы
СИ Николенко, АЛ Тулупьев
М.: МНЦМО, 2009
SAX-PAC (scalable and expressive packet classification)
K Kogan, S Nikolenko, O Rottenstreich, W Culhane, P Eugster
Proceedings of the 2014 ACM conference on SIGCOMM, 15-26, 2014
Structure of Chevalley groups: The proof from the book
NA Vavilov, MR Gavrilovich, SI Nikolenko
Journal of Mathematical Sciences 140 (5), 626-645, 2007
Latent dirichlet allocation: stability and applications to studies of user-generated content
S Koltcov, O Koltsova, S Nikolenko
Proceedings of the 2014 ACM conference on Web science, 161-165, 2014
The event bush as a semantic-based numerical approach to natural hazard assessment (exemplified by volcanology)
CA Pshenichny, SI Nikolenko, R Carniel, PA Vaganov, ZV Khrabrykh, ...
Computers & Geosciences 35 (5), 1017-1034, 2009
Molecular sets (MOSES): a benchmarking platform for molecular generation models
D Polykovskiy, A Zhebrak, B Sanchez-Lengeling, S Golovanov, O Tatanov, ...
arXiv preprint arXiv:1811.12823, 2018
3d molecular representations based on the wave transform for convolutional neural networks
D Kuzminykh, D Polykovskiy, A Kadurin, A Zhebrak, I Baskov, S Nikolenko, ...
Molecular pharmaceutics 15 (10), 4378-4385, 2018
An A2-proof of structure theorems for Chevalley groups of type F4
NA Vavilov, SI Nikolenko
St. Petersburg Math. J 20 (3), 2008
Теория экономических механизмов
СИ Николенко
Бином. Лаб. знаний, 2009
Combination of deep recurrent neural networks and conditional random fields for extracting adverse drug reactions from user reviews
E Tutubalina, S Nikolenko
Journal of healthcare engineering 2017, 2017
Towards efficient implementation of packet classifiers in SDN/OpenFlow
K Kogan, S Nikolenko, W Culhane, P Eugster, E Ruan
Proceedings of the second ACM SIGCOMM workshop on Hot topics in software …, 2013
Deep learning
S Nikolenko, A Kadurin, E Arkhangelskaya
SPb.: Peter, 2018
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