Sergey Nikolenko
Sergey Nikolenko
Steklov Institute of Mathematics at St. Petersburg, Russia
Verified email at logic.pdmi.ras.ru - Homepage
Title
Cited by
Cited by
Year
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
122422012
Байесовские сети: логико-вероятностный подход
АЛ Тулупьев, СИ Николенко, АВ Сироткин
Наука, 2006
421*2006
BayesHammer: Bayesian clustering for error correction in single-cell sequencing
SI Nikolenko, AI Korobeynikov, MA Alekseyev
BMC genomics 14 (1), 1-11, 2013
3522013
Глубокое обучение
С Николенко, А Кадурин, Е Архангельская
" Издательский дом"" Питер""", 2017
3492017
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
2232017
Байесовские сети доверия: логико-вероятностный вывод в ациклических направленных графах
АЛ Тулупьев, АВ Сироткин, СИ Николенко
Изд-во Петербургского университета, 2009
179*2009
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
1372017
Topic modelling for qualitative studies
SI Nikolenko, S Koltcov, O Koltsova
Journal of Information Science 43 (1), 88-102, 2017
1332017
Самообучающиеся системы
СИ Николенко, АЛ Тулупьев
М.: МНЦМО, 2009
97*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
782014
Molecular sets (MOSES): a benchmarking platform for molecular generation models
D Polykovskiy, A Zhebrak, B Sanchez-Lengeling, S Golovanov, O Tatanov, ...
Frontiers in pharmacology 11, 2020
752020
Deep learning
S Nikolenko, A Kadurin, E Arkhangelskaya
SPb.: Peter, 2018
672018
Structure of Chevalley groups: The proof from the book
NA Vavilov, MR Gavrilovich, SI Nikolenko
Journal of Mathematical Sciences 140 (5), 626-645, 2007
66*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
642014
Tooth detection and numbering in panoramic radiographs using convolutional neural networks
DV Tuzoff, LN Tuzova, MM Bornstein, AS Krasnov, MA Kharchenko, ...
Dentomaxillofacial Radiology 48 (4), 20180051, 2019
612019
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
532018
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
462017
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
432009
Medical concept normalization in social media posts with recurrent neural networks
E Tutubalina, Z Miftahutdinov, S Nikolenko, V Malykh
Journal of biomedical informatics 84, 93-102, 2018
422018
Glubokoe obuchenie
S Nikolenko, A Kadurin, E Arkhangel'skaya
SPb.: Piter, 2018
422018
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Articles 1–20