Sergey I. Nikolenko

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 119

Top Venues

CoRR

AIST

IEEE/ACM Trans. Netw.

ICNP

Publications

Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko
Neural Click Models for Recommender Systems. SIGIR (2024)
Qi Yang, Sergey I. Nikolenko, Marlo Ongpin, Ilia Gossoudarev, Yu-Yi Chu-Farseeva, Aleksandr Farseev
SOMONITOR: Explainable Marketing Data Processing and Analysis with Large Language Models. CoRR (2024)
Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey I. Nikolenko, Martin Benning, Serguei Barannikov, Gregory G. Slabaugh
Improving Interpretability and Robustness for the Detection of AI-Generated Images. CoRR (2024)
Ilya Shenbin, Sergey I. Nikolenko
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering. CoRR (2024)
Ivan Sedykh, Nikita Sorokin, Dmitry Abulkhanov, Sergey I. Nikolenko, Valentin Malykh
Searching by Code: A New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets. LREC/COLING (2024)
Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey I. Nikolenko, Elena Tutubalina, Artur Kadurin
DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. CoRR (2024)
Ilya Shenbin, Sergey I. Nikolenko
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering. ICLR (2024)
Andrey Bout, Alexander Podolskiy, Sergey I. Nikolenko, Irina Piontkovskaya
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule. EMNLP (2023)
Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. CoRR (2023)
Andrey Bout, Alexander Podolskiy, Sergey I. Nikolenko, Irina Piontkovskaya
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule. CoRR (2023)
Anton Alekseev, Sergey I. Nikolenko, Gulnara Kabaeva
Benchmarking Multilabel Topic Classification in the Kyrgyz Language. CoRR (2023)
Vadim Lomshakov, Sergey V. Kovalchuk, Maxim Omelchenko, Sergey I. Nikolenko, Artem Aliev
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets. ICCS (2) (2023)
Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey I. Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts. NeurIPS (2023)
Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Sergey I. Nikolenko
Machine Learning for SAT: Restricted Heuristics and New Graph Representations. CoRR (2023)
Ivan Sedykh, Dmitry Abulkhanov, Nikita Sorokin, Sergey I. Nikolenko, Valentin Malykh
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets. CoRR (2023)
Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev
Topological Data Analysis for Speech Processing. INTERSPEECH (2023)
Anton Alekseev, Sergey I. Nikolenko, Gulnara Kabaeva
Benchmarking Multilabel Topic Classification in the Kyrgyz Language. AIST (2023)
Laida Kushnareva, Tatiana Gaintseva, German Magai, Serguei Barannikov, Dmitry Abulkhanov, Kristian Kuznetsov, Irina Piontkovskaya, Sergey I. Nikolenko
Artificial Text Boundary Detection with Topological Data Analysis and Sliding Window Techniques. CoRR (2023)
Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding. CoRR (2023)
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. CoRR (2022)
Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko
RuCCoN: Clinical Concept Normalization in Russian. ACL (Findings) (2022)
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. AAAI (2022)
Ilya Makarov, Maria Bakhanova, Sergey I. Nikolenko, Olga Gerasimova
Self-supervised recurrent depth estimation with attention mechanisms. PeerJ Comput. Sci. 8 (2022)
Anton Alekseev, Zulfat Miftahutdinov, Elena Tutubalina, Artem Shelmanov, Vladimir Ivanov, Vladimir Kokh, Alexandr Nesterov, Manvel Avetisian, Andrey Chertok, Sergey I. Nikolenko
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity Linking. LREC (2022)
Ilseyar Alimova, Elena Tutubalina, Sergey I. Nikolenko
Cross-Domain Limitations of Neural Models on Biomedical Relation Classification. IEEE Access 10 (2022)
Vitalii Demianiuk, Kirill Kogan, Sergey I. Nikolenko
Approximate Packet Classifiers With Controlled Accuracy. IEEE/ACM Trans. Netw. 29 (3) (2021)
Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. AIST (2021)
Pavel Chuprikov, Alex Davydow, Kirill Kogan, Sergey I. Nikolenko, Alexander Sirotkin
Formalization and taxonomy of compute-aggregate problems for cloud computing applications. Comput. Networks 189 (2021)
Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. CoRR (2021)
Alex Davydow, Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan
Competitive buffer management for packets with latency constraints. Comput. Networks 189 (2021)
Vitalii Demianiuk, Sergey Gorinsky, Sergey I. Nikolenko, Kirill Kogan
Robust Distributed Monitoring of Traffic Flows. IEEE/ACM Trans. Netw. 29 (1) (2021)
Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko
The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews. Bioinform. 37 (2) (2021)
Alex Davydow, Sergey I. Nikolenko, Vitalii Demianiuk, Pavel Chuprikov, Kirill Kogan
SRPT-based Congestion Control for Flows with Unknown Sizes. Networking (2021)
Katja Ovchinnikova, Lachlan Stuart, Alexander Rakhlin, Sergey I. Nikolenko, Theodore Alexandrov
ColocML: machine learning quantifies co-localization between mass spectrometry images. Bioinform. 36 (10) (2020)
Andrey V. Savchenko, Anton Alekseev, Sejeong Kwon, Elena Tutubalina, Evgeny Myasnikov, Sergey I. Nikolenko
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. COLING (2020)
Anton Alekseev, Sergey I. Nikolenko
Recognizing Preferred Grammatical Gender in Russian Anonymous Online Confessions. TDS (2020)
Vitalii Demianiuk, Sergey I. Nikolenko, Pavel Chuprikov, Kirill Kogan
New Alternatives to Optimize Policy Classifiers. IEEE/ACM Trans. Netw. 28 (3) (2020)
Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Aleksei Silvestrov, Sergey I. Nikolenko, Victor Lempitsky, Gleb Sterkin
High-Resolution Daytime Translation Without Domain Labels. CVPR (2020)
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. WSDM (2020)
Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. CoRR (2020)
Kirill Kogan, Danushka Menikkumbura, Gustavo Petri, Youngtae Noh, Sergey I. Nikolenko, Alexander Sirotkin, Patrick Eugster
Towards Software-Defined Buffer Management. IEEE/ACM Trans. Netw. 28 (5) (2020)
Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan
Towards declarative self-adapting buffer management. Comput. Commun. Rev. 50 (3) (2020)
Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey I. Nikolenko
The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews. CoRR (2020)
Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. J. Intell. Fuzzy Syst. 39 (2) (2020)
Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Alexey Silvestrov, Sergey I. Nikolenko, Victor Lempitsky, Gleb Sterkin
High-Resolution Daytime Translation Without Domain Labels. CoRR (2020)
Mikhail Panin, Sergey I. Nikolenko
Faster RPNN: Rendering Clouds with Latent Space Light Probes. SIGGRAPH Asia Technical Briefs (2019)
Sergey Golovanov, Rauf Kurbanov, Sergey I. Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf
Large-Scale Transfer Learning for Natural Language Generation. ACL (1) (2019)
Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey I. Nikolenko
Free-Lunch Saliency via Attention in Atari Agents. ICCV Workshops (2019)
Sergey I. Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov, Eugene Beloded
CommentsRadar: Dive into Unique Data on All Comments on the Web. CoRR (2019)
Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey I. Nikolenko
Free-Lunch Saliency via Attention in Atari Agents. CoRR (2019)
Pavel Ostyakov, Sergey I. Nikolenko
Adapting Convolutional Neural Networks for Geographical Domain Shift. CoRR (2019)
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. CoRR (2019)
Sergey I. Nikolenko
Synthetic Data for Deep Learning. CoRR (2019)
Alexander Rakhlin, Alexey A. Shvets, Alexandr A. Kalinin, Aleksei Tiulpin, Vladimir I. Iglovikov, Sergey I. Nikolenko
Breast Tumor Cellularity Assessment using Deep Neural Networks. CoRR (2019)
Vitalii Demianiuk, Sergey Gorinsky, Sergey I. Nikolenko, Kirill Kogan
Robust Distributed Monitoring of Traffic Flows. ICNP (2019)
Valentin Malykh, Anton Alekseev, Elena Tutubalina, Ilya Shenbin, Sergey I. Nikolenko
Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspect Extraction. AIST (2019)
Ivan A. Bochkov, Alex Davydow, Nikita Gaevoy, Sergey I. Nikolenko
New Competitiveness Bounds for the Shared Memory Switch. CoRR (2019)
Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko, Anton Alekseev, Ilya Shenbin
AspeRa: Aspect-Based Rating Prediction Based on User Reviews. WNLP@ACL (2019)
Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev
AspeRa: Aspect-based Rating Prediction Model. CoRR (2019)
Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev
AspeRa: Aspect-Based Rating Prediction Model. ECIR (2) (2019)
Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko
Breast Tumor Cellularity Assessment Using Deep Neural Networks. ICCV Workshops (2019)
Vitalii Demianiuk, Kirill Kogan, Sergey I. Nikolenko
Approximate Classifiers with Controlled Accuracy. INFOCOM (2019)
Kirill Kogan, Sergey I. Nikolenko, Vitalii Demianiuk, Pavel Chuprikov, Alex Davydow
Personal insights on three research directions in networked systems. COMSNETS (2018)
Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov, Vladimir Aliev, Gleb Sterkin, Oleg Khomenko, Sergey I. Nikolenko
Label Denoising with Large Ensembles of Heterogeneous Neural Networks. CoRR (2018)
Pavel Ostyakov, Elizaveta Logacheva, Roman Suvorov, Vladimir Aliev, Gleb Sterkin, Oleg Khomenko, Sergey I. Nikolenko
Label Denoising with Large Ensembles of Heterogeneous Neural Networks. ECCV Workshops (4) (2018)
Sergey Golovanov, Rauf Kurbanov, Aleksey Artamonov, Alex Davydow, Sergey I. Nikolenko
Building Detection From Satellite Imagery Using a Composite Loss Function. CVPR Workshops (2018)
Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh
Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts. CoRR (2018)
Elena Tutubalina, Sergey I. Nikolenko
Exploring convolutional neural networks and topic models for user profiling from drug reviews. Multim. Tools Appl. 77 (4) (2018)
Vitalii Demianiuk, Sergey Gorinsky, Sergey I. Nikolenko, Kirill Kogan
Distributed Counting Along Lossy Paths Without Feedback. SIROCCO (2018)
Alexander Rakhlin, Alex Davydow, Sergey I. Nikolenko
Land Cover Classification From Satellite Imagery With U-Net and Lovasz-Softmax Loss. CVPR Workshops (2018)
Pavel Chuprikov, Sergey I. Nikolenko, Alex Davydow, Kirill Kogan
Priority Queueing for Packets With Two Characteristics. IEEE/ACM Trans. Netw. 26 (1) (2018)
Pavel Chuprikov, Kirill Kogan, Sergey I. Nikolenko
How to implement complex policies on existing network infrastructure. SOSR (2018)
Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh
Medical concept normalization in social media posts with recurrent neural networks. J. Biomed. Informatics 84 (2018)
Alex Davydow, Sergey I. Nikolenko
Land Cover Classification With Superpixels and Jaccard Index Post-Optimization. CVPR Workshops (2018)
Vitalii Demianiuk, Sergey I. Nikolenko, Pavel Chuprikov, Kirill Kogan
New Alternatives to Optimize Policy Classifiers. ICNP (2018)
Pavel Chuprikov, Alex Davydow, Kirill Kogan, Sergey I. Nikolenko, Alexander Sirotkin
Formalizing Compute-Aggregate Problems in Cloud Computing. SIROCCO (2018)
Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko
Concorde: Morphological Agreement in Conversational Models. ACML (2018)
Pavel Ostyakov, Roman Suvorov, Elizaveta Logacheva, Oleg Khomenko, Sergey I. Nikolenko
SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint. CoRR (2018)
Patrick Eugster, Alexander Kesselman, Kirill Kogan, Sergey I. Nikolenko, Alexander Sirotkin
Admission control in shared memory switches. J. Sched. 21 (5) (2018)
Daniil Polykovskiy, Alexander Zhebrak, Benjamín Sánchez-Lengeling, Sergey Golovanov, Oktai Tatanov, Stanislav Belyaev, Rauf Kurbanov, Aleksey Artamonov, Vladimir Aladinskiy, Mark Veselov, Artur Kadurin, Sergey I. Nikolenko, Alán Aspuru-Guzik, Alex Zhavoronkov
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models. CoRR (2018)
Pavel Solovev, Vladimir Aliev, Pavel Ostyakov, Gleb Sterkin, Elizaveta Logacheva, Stepan Troeshestov, Roman Suvorov, Anton Mashikhin, Oleg Khomenko, Sergey I. Nikolenko
Learning State Representations in Complex Systems with Multimodal Data. CoRR (2018)
Kirill Kogan, Sergey I. Nikolenko, Patrick Eugster, Alexander Shalimov, Ori Rottenstreich
Efficient FIB Representations on Distributed Platforms. IEEE/ACM Trans. Netw. 25 (6) (2017)
Sergey I. Nikolenko, Sergei Koltcov, Olessia Koltsova
Topic modelling for qualitative studies. J. Inf. Sci. 43 (1) (2017)
Elena Tutubalina, Sergey I. Nikolenko
Demographic Prediction Based on User Reviews about Medications. Computación y Sistemas 21 (2) (2017)
Sergey I. Nikolenko, Kirill Kogan, Antonio Fernández Anta
Network simplification preserving bandwidth and routing capabilities. INFOCOM (2017)
Pavel Chuprikov, Kirill Kogan, Sergey I. Nikolenko
General ternary bit strings on commodity longest-prefix-match infrastructures. ICNP (2017)
Kirill Kogan, Danushka Menikkumbura, Gustavo Petri, Yangtae Noh, Sergey I. Nikolenko, Alexander Sirotkin, Patrick Eugster
A programmable buffer management platform. ICNP (2017)
Alex Davydow, Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan
Throughput optimization with latency constraints. INFOCOM (2017)
Patrick Eugster, Kirill Kogan, Sergey I. Nikolenko, Alexander V. Sirotkin
Heterogeneous packet processing in shared memory buffers. J. Parallel Distributed Comput. 99 (2017)
Pavel Chuprikov, Alex Davydow, Kirill Kogan, Sergey I. Nikolenko, Alexander V. Sirotkin
Planning in compute-aggregate problems as optimization problems on graphs. ICNP (2017)
Anton Alekseev, Sergey I. Nikolenko
Word Embeddings for User Profiling in Online Social Networks. Computación y Sistemas 21 (2) (2017)
Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Alexander V. Sirotkin
The impact of processing order on performance: A taxonomy of semi-FIFO policies. J. Comput. Syst. Sci. 88 (2017)
Dmitry I. Ignatov, Sergey I. Nikolenko, Taimuraz Abaev, Jonas Poelmans
Online recommender system for radio station hosting based on information fusion and adaptive tag-aware profiling. Expert Syst. Appl. 55 (2016)
Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Alexander V. Sirotkin
Online Scheduling FIFO Policies with Admission and Push-Out. Theory Comput. Syst. 58 (2) (2016)
Elena Tutubalina, Sergey I. Nikolenko
Constructing Aspect-Based Sentiment Lexicons with Topic Modeling. AIST (2016)
Sergei Koltcov, Sergey I. Nikolenko, Olessia Koltsova, Vladimir Filippov, Svetlana Bodrunova
Stable Topic Modeling with Local Density Regularization. INSCI (2016)
Kirill Kogan, Danushka Menikkumbura, Gustavo Petri, Youngtae Noh, Sergey I. Nikolenko, Patrick Eugster
BASEL (Buffer mAnagement SpEcification Language). ANCS (2016)
Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan
On demand elastic capacity planning for service auto-scaling. INFOCOM (2016)
Olessia Koltsova, Sergei Koltcov, Sergey I. Nikolenko
Communities of co-commenting in the Russian LiveJournal and their topical coherence. Internet Res. 26 (3) (2016)
Sergey I. Nikolenko
ARTM vs. LDA: an SVD Extension Case Study. AIST (Supplement) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sergey I. Nikolenko