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Sergey Nikolenko

Showing results (1-10 of 18) with videos related to

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Journal of Healthcare Engineering|November 28, 2017
Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User ReviewsElena Tutubalina, Sergey Nikolenko
Frontiers in Big Data|August 22, 2022
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendationQi Yang, Aleksandr Farseev, Sergey Nikolenko, et al.
Journal of Biomedical Informatics|June 16, 2018
Medical concept normalization in social media posts with recurrent neural networksElena Tutubalina, Zulfat Miftahutdinov, Sergey Nikolenko, et al.
Peerj. Computer Science|May 2, 2022
Self-supervised recurrent depth estimation with attention mechanismsIlya Makarov, Maria Bakhanova, Sergey Nikolenko, et al.
Molecular Pharmaceutics|July 14, 2017
druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in SilicoArtur Kadurin, Sergey Nikolenko, Kuzma Khrabrov, et al.
Frontiers in Chemistry|January 10, 2022
Computational Discovery of TTF Molecules with Deep Generative ModelsAlexander Yakubovich, Alexey Odinokov, Sergey Nikolenko, et al.
Bioinformatics (Oxford, England)|February 13, 2020
ColocML: machine learning quantifies co-localization between mass spectrometry imagesKatja Ovchinnikova, Lachlan Stuart, Alexander Rakhlin, et al.
Molecular Systems Biology|October 6, 2020
DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networksLuca Rappez, Alexander Rakhlin, Angelos Rigopoulos, et al.
Analytical Chemistry|November 5, 2013
Analysis and interpretation of imaging mass spectrometry data by clustering mass-to-charge images according to their spatial similarityTheodore Alexandrov, Ilya Chernyavsky, Michael Becker, et al.
Bioinformatics (Oxford, England)|July 30, 2020
The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviewsElena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of Healthcare Engineering|November 28, 2017
Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User ReviewsElena Tutubalina, Sergey Nikolenko
Frontiers in Big Data|August 22, 2022
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendationQi Yang, Aleksandr Farseev, Sergey Nikolenko, et al.
Journal of Biomedical Informatics|June 16, 2018
Medical concept normalization in social media posts with recurrent neural networksElena Tutubalina, Zulfat Miftahutdinov, Sergey Nikolenko, et al.
Peerj. Computer Science|May 2, 2022
Self-supervised recurrent depth estimation with attention mechanismsIlya Makarov, Maria Bakhanova, Sergey Nikolenko, et al.
Molecular Pharmaceutics|July 14, 2017
druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in SilicoArtur Kadurin, Sergey Nikolenko, Kuzma Khrabrov, et al.
Frontiers in Chemistry|January 10, 2022
Computational Discovery of TTF Molecules with Deep Generative ModelsAlexander Yakubovich, Alexey Odinokov, Sergey Nikolenko, et al.
Bioinformatics (Oxford, England)|February 13, 2020
ColocML: machine learning quantifies co-localization between mass spectrometry imagesKatja Ovchinnikova, Lachlan Stuart, Alexander Rakhlin, et al.
Molecular Systems Biology|October 6, 2020
DeepCycle reconstructs a cyclic cell cycle trajectory from unsegmented cell images using convolutional neural networksLuca Rappez, Alexander Rakhlin, Angelos Rigopoulos, et al.
Analytical Chemistry|November 5, 2013
Analysis and interpretation of imaging mass spectrometry data by clustering mass-to-charge images according to their spatial similarityTheodore Alexandrov, Ilya Chernyavsky, Michael Becker, et al.
Bioinformatics (Oxford, England)|July 30, 2020
The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviewsElena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, et al.
Pageof 2