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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
182512012
Глубокое обучение
С Николенко, А Кадурин, Е Архангельская
" Издательский дом"" Питер""", 2017
8762017
Байесовские сети: логико-вероятностный подход
АЛ Тулупьев, СИ Николенко, АВ Сироткин
Наука, 2006
466*2006
BayesHammer: Bayesian clustering for error correction in single-cell sequencing
SI Nikolenko, AI Korobeynikov, MA Alekseyev
BMC genomics 14 (1), 1-11, 2013
4502013
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
3872017
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, 565644, 2020
2902020
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
2782017
Topic modelling for qualitative studies
SI Nikolenko, S Koltcov, O Koltsova
Journal of Information Science 43 (1), 88-102, 2017
2642017
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
2192019
Байесовские сети доверия: логико-вероятностный вывод в ациклических направленных графах
АЛ Тулупьев, АВ Сироткин, СИ Николенко
Изд-во Петербургского университета, 2009
189*2009
Synthetic data for deep learning
SI Nikolenko
arXiv preprint arXiv:1909.11512, 2019
1242019
Самообучающиеся системы
СИ Николенко, АЛ Тулупьев
М.: МНЦМО, 2009
116*2009
Recvae: A new variational autoencoder for top-n recommendations with implicit feedback
I Shenbin, A Alekseev, E Tutubalina, V Malykh, SI Nikolenko
Proceedings of the 13th international conference on web search and data …, 2020
1132020
Deep learning
S Nikolenko, A Kadurin, E Arkhangelskaya
SPb.: Peter, 2018
1132018
Glubokoe obuchenie
S Nikolenko, A Kadurin, E Arkhangel'skaya
SPb.: Piter, 2018
1112018
Synthetic data for deep learning
SI Nikolenko
Springer Nature, 2021
1102021
Land cover classification from satellite imagery with u-net and lovász-softmax loss
A Rakhlin, A Davydow, S Nikolenko
Proceedings of the IEEE conference on computer vision and pattern …, 2018
962018
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
962014
High-resolution daytime translation without domain labels
I Anokhin, P Solovev, D Korzhenkov, A Kharlamov, T Khakhulin, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
902020
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
872014
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Articles 1–20