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2020 – today
- 2024
[c95]Aleksei Shabanov, Aleksei Tarasov, Sergey I. Nikolenko:
STIR: Siamese Transformer for Image Retrieval Postprocessing. CIKM 2024: 4852-4857- [c94]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: 14472-14477 - [c93]Vadim Lomshakov, Andrey Podivilov, Sergey Savin, Oleg Baryshnikov, Alena Lisevych, Sergey I. Nikolenko:
ProConSuL: Project Context for Code Summarization with LLMs. EMNLP (Industry Track) 2024: 866-880 - [c92]Konstantin Yakovlev, Sergey I. Nikolenko, Andrey Bout:
Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option. EMNLP (Findings) 2024: 5967-5974 - [c91]Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva, German Magai, Serguei Barannikov, Sergey I. Nikolenko, Irina Piontkovskaya:
Robust AI-Generated Text Detection by Restricted Embeddings. EMNLP (Findings) 2024: 17036-17055 - [c90]Ilya Shenbin, Sergey I. Nikolenko:
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering. ICLR 2024 - [c89]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:
$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. NeurIPS 2024 - [c88]Mikhail Shirokikh
, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko:
Neural Click Models for Recommender Systems. SIGIR 2024: 2553-2558 - [i44]Ilya Shenbin, Sergey I. Nikolenko:
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering. CoRR abs/2406.00198 (2024) - [i43]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:
∇2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. CoRR abs/2406.14347 (2024) - [i42]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 abs/2406.15035 (2024) - [i41]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 abs/2407.13117 (2024) - [i40]Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko:
Neural Click Models for Recommender Systems. CoRR abs/2409.20055 (2024) - [i39]Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva, German Magai, Serguei Barannikov, Sergey I. Nikolenko, Irina Piontkovskaya:
Robust AI-Generated Text Detection by Restricted Embeddings. CoRR abs/2410.08113 (2024) - [i38]Konstantin Yakovlev, Sergey I. Nikolenko, Andrey Bout:
Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option. CoRR abs/2410.12004 (2024) - [i37]Anton Alekseev, Alina Tillabaeva, Gulnara Kabaeva, Sergey I. Nikolenko:
Syntactic Transfer to Kyrgyz Using the Treebank Translation Method. CoRR abs/2412.13146 (2024) - 2023
- [c87]Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya:
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding. ACL (1) 2023: 1546-1558 - [c86]Anton Alekseev, Sergey I. Nikolenko, Gulnara Kabaeva:
Benchmarking Multilabel Topic Classification in the Kyrgyz Language. AIST 2023: 21-35 - [c85]Andrey Bout, Alexander Podolskiy, Sergey I. Nikolenko, Irina Piontkovskaya:
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule. EMNLP 2023: 5800-5816 - [c84]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: 171-179 - [c83]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: 311-315 - [c82]Qi Yang, Marlo Ongpin, Sergey I. Nikolenko, Alfred Huang, Aleksandr Farseev:
Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising. ACM Multimedia 2023: 9299-9305 - [c81]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 - [c80]Dmitry Abulkhanov, Nikita Sorokin, Sergey I. Nikolenko, Valentin Malykh:
LAPCA: Language-Agnostic Pretraining with Cross-Lingual Alignment. SIGIR 2023: 2098-2102 - [c79]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. SIGIR 2023: 2394-2398 - [c78]Alfred Huang, Qi Yang, Sergey I. Nikolenko, Marlo Ongpin, Ilia Gossoudarev, Ngoc Yen Duong, Kirill Lepikhin, Sergey Vishnyakov, Yu-Yi Chu-Farseeva, Aleksandr Farseev:
SoCraft: Advertiser-level Predictive Scoring for Creative Performance on Meta. WSDM 2023: 1132-1135 - [c77]Qi Yang, Christos Tzelepis, Sergey I. Nikolenko, Ioannis Patras, Aleksandr Farseev:
"Just To See You Smile": SMILEY, a Voice-Guided GUY GAN. WSDM 2023: 1196-1199 - [i36]Aleksei Shabanov, Aleksei Tarasov, Sergey I. Nikolenko:
STIR: Siamese Transformer for Image Retrieval Postprocessing. CoRR abs/2304.13393 (2023) - [i35]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 abs/2305.11625 (2023) - [i34]Nikita Sorokin, Dmitry Abulkhanov, Sergey I. Nikolenko, Valentin Malykh:
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search. CoRR abs/2305.11626 (2023) - [i33]Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev:
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts. CoRR abs/2306.04723 (2023) - [i32]Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Sergey I. Nikolenko:
Machine Learning for SAT: Restricted Heuristics and New Graph Representations. CoRR abs/2307.09141 (2023) - [i31]Anton Alekseev, Sergey I. Nikolenko, Gulnara Kabaeva:
Benchmarking Multilabel Topic Classification in the Kyrgyz Language. CoRR abs/2308.15952 (2023) - [i30]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 abs/2311.08143 (2023) - [i29]Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya:
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding. CoRR abs/2311.08191 (2023) - [i28]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 abs/2311.08349 (2023) - [i27]Andrey Bout, Alexander Podolskiy, Sergey I. Nikolenko, Irina Piontkovskaya:
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule. CoRR abs/2311.11813 (2023) - 2022
- [j35]Ilseyar Alimova, Elena Tutubalina, Sergey I. Nikolenko:
Cross-Domain Limitations of Neural Models on Biomedical Relation Classification. IEEE Access 10: 1432-1439 (2022) - [j34]Qi Yang, Aleksandr Farseev, Sergey I. Nikolenko, Andrey Filchenkov:
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation. Frontiers Big Data 5 (2022) - [j33]Ilya Makarov, Maria Bakhanova, Sergey I. Nikolenko, Olga Gerasimova:
Self-supervised recurrent depth estimation with attention mechanisms. PeerJ Comput. Sci. 8: e865 (2022) - [c76]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: 11412-11420 - [c75]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: 239-245 - [c74]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: 4212-4220 - [c73]Qi Yang, Sergey I. Nikolenko, Alfred Huang, Aleksandr Farseev:
Personality-Driven Social Multimedia Content Recommendation. ACM Multimedia 2022: 7290-7299 - [i26]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 abs/2206.12514 (2022) - [i25]Qi Yang, Sergey I. Nikolenko, Alfred Huang, Aleksandr Farseev:
Personality-Driven Social Multimedia Content Recommendation. CoRR abs/2207.12236 (2022) - [i24]Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev:
Topological Data Analysis for Speech Processing. CoRR abs/2211.17223 (2022) - 2021
- [j32]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): 243-249 (2021) - [j31]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: 107915 (2021) - [j30]Alex Davydow, Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan:
Competitive buffer management for packets with latency constraints. Comput. Networks 189: 107942 (2021) - [j29]Vitalii Demianiuk, Sergey Gorinsky, Sergey I. Nikolenko, Kirill Kogan:
Robust Distributed Monitoring of Traffic Flows. IEEE/ACM Trans. Netw. 29(1): 275-288 (2021) - [j28]Vitalii Demianiuk, Kirill Kogan, Sergey I. Nikolenko:
Approximate Packet Classifiers With Controlled Accuracy. IEEE/ACM Trans. Netw. 29(3): 1141-1154 (2021) - [c72]Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko:
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. AIST 2021: 23-36 - [c71]Alex Davydow, Sergey I. Nikolenko, Vitalii Demianiuk, Pavel Chuprikov, Kirill Kogan:
SRPT-based Congestion Control for Flows with Unknown Sizes. Networking 2021: 1-9 - [p1]Isabel Amaya-Rodriguez, Javier Civit-Masot, Francisco Luna-Perejon, Lourdes Duran-Lopez, Alexander Rakhlin, Sergey I. Nikolenko, Satoshi Kondo, Pablo Laiz, Jordi Vitrià, Santi Seguí, Patrick Brandao:
ResNet. Computer-Aided Analysis of Gastrointestinal Videos 2021: 99-114 - [i23]Anton Alekseev, Elena Tutubalina, Sejeong Kwon, Sergey I. Nikolenko:
Near-Zero-Shot Suggestion Mining with a Little Help from WordNet. CoRR abs/2111.12956 (2021) - 2020
- [j27]Katja Ovchinnikova, Lachlan Stuart, Alexander Rakhlin, Sergey I. Nikolenko, Theodore Alexandrov:
ColocML: machine learning quantifies co-localization between mass spectrometry images. Bioinform. 36(10): 3215-3224 (2020) - [j26]Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan:
Towards declarative self-adapting buffer management. Comput. Commun. Rev. 50(3): 30-37 (2020) - [j25]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): 2487-2496 (2020) - [j24]Vitalii Demianiuk, Sergey I. Nikolenko, Pavel Chuprikov, Kirill Kogan:
New Alternatives to Optimize Policy Classifiers. IEEE/ACM Trans. Netw. 28(3): 1088-1101 (2020) - [j23]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): 2337-2349 (2020) - [c70]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: 1886-1892 - [c69]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: 7485-7494 - [c68]Anton Alekseev, Sergey I. Nikolenko:
Recognizing Preferred Grammatical Gender in Russian Anonymous Online Confessions. TDS 2020: 222-230 - [c67]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: 528-536 - [i22]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 abs/2003.08791 (2020) - [i21]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 abs/2004.03659 (2020) - [i20]Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification. CoRR abs/2006.09766 (2020)
2010 – 2019
- 2019
- [c66]Sergey Golovanov, Rauf Kurbanov, Sergey I. Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf:
Large-Scale Transfer Learning for Natural Language Generation. ACL (1) 2019: 6053-6058 - [c65]Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko, Anton Alekseev, Ilya Shenbin:
AspeRa: Aspect-Based Rating Prediction Based on User Reviews. WNLP@ACL 2019: 11-13 - [c64]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: 166-178 - [c63]Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev:
AspeRa: Aspect-Based Rating Prediction Model. ECIR (2) 2019: 163-171 - [c62]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: 371-380 - [c61]Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey I. Nikolenko:
Free-Lunch Saliency via Attention in Atari Agents. ICCV Workshops 2019: 4240-4249 - [c60]Vitalii Demianiuk, Sergey Gorinsky, Sergey I. Nikolenko, Kirill Kogan:
Robust Distributed Monitoring of Traffic Flows. ICNP 2019: 1-11 - [c59]Vitalii Demianiuk, Kirill Kogan, Sergey I. Nikolenko:
Approximate Classifiers with Controlled Accuracy. INFOCOM 2019: 2044-2052 - [c58]Mikhail Panin, Sergey I. Nikolenko:
Faster RPNN: Rendering Clouds with Latent Space Light Probes. SIGGRAPH Asia Technical Briefs 2019: 21-24 - [i19]Pavel Ostyakov, Sergey I. Nikolenko:
Adapting Convolutional Neural Networks for Geographical Domain Shift. CoRR abs/1901.06345 (2019) - [i18]Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev:
AspeRa: Aspect-based Rating Prediction Model. CoRR abs/1901.07829 (2019) - [i17]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 abs/1905.01743 (2019) - [i16]Ivan A. Bochkov, Alex Davydow, Nikita Gaevoy, Sergey I. Nikolenko:
New Competitiveness Bounds for the Shared Memory Switch. CoRR abs/1907.04399 (2019) - [i15]Dmitry Nikulin, Anastasia Ianina, Vladimir Aliev, Sergey I. Nikolenko:
Free-Lunch Saliency via Attention in Atari Agents. CoRR abs/1908.02511 (2019) - [i14]Sergey I. Nikolenko, Elena Tutubalina, Zulfat Miftahutdinov, Eugene Beloded:
CommentsRadar: Dive into Unique Data on All Comments on the Web. CoRR abs/1908.07069 (2019) - [i13]Sergey I. Nikolenko:
Synthetic Data for Deep Learning. CoRR abs/1909.11512 (2019) - [i12]Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. CoRR abs/1912.11160 (2019) - 2018
- [j22]Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh:
Medical concept normalization in social media posts with recurrent neural networks. J. Biomed. Informatics 84: 93-102 (2018) - [j21]Elena Tutubalina, Sergey I. Nikolenko:
Exploring convolutional neural networks and topic models for user profiling from drug reviews. Multim. Tools Appl. 77(4): 4791-4809 (2018) - [j20]Patrick Eugster, Alexander Kesselman, Kirill Kogan, Sergey I. Nikolenko, Alexander Sirotkin:
Admission control in shared memory switches. J. Sched. 21(5): 533-543 (2018) - [j19]Pavel Chuprikov, Sergey I. Nikolenko, Alex Davydow, Kirill Kogan:
Priority Queueing for Packets With Two Characteristics. IEEE/ACM Trans. Netw. 26(1): 342-355 (2018) - [c57]Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko:
Concorde: Morphological Agreement in Conversational Models. ACML 2018: 407-421 - [c56]Kirill Kogan, Sergey I. Nikolenko, Vitalii Demianiuk, Pavel Chuprikov, Alex Davydow:
Personal insights on three research directions in networked systems. COMSNETS 2018: 97-104 - [c55]Sergey Golovanov, Rauf Kurbanov, Aleksey Artamonov, Alex Davydow, Sergey I. Nikolenko:
Building Detection From Satellite Imagery Using a Composite Loss Function. CVPR Workshops 2018: 229-232 - [c54]Alexander Rakhlin, Alex Davydow, Sergey I. Nikolenko:
Land Cover Classification From Satellite Imagery With U-Net and Lovasz-Softmax Loss. CVPR Workshops 2018: 262-266 - [c53]Alex Davydow, Sergey I. Nikolenko:
Land Cover Classification With Superpixels and Jaccard Index Post-Optimization. CVPR Workshops 2018: 280-284 - [c52]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: 250-261 - [c51]Vitalii Demianiuk, Sergey I. Nikolenko, Pavel Chuprikov, Kirill Kogan:
New Alternatives to Optimize Policy Classifiers. ICNP 2018: 121-131 - [c50]Vitalii Demianiuk, Sergey Gorinsky, Sergey I. Nikolenko, Kirill Kogan:
Distributed Counting Along Lossy Paths Without Feedback. SIROCCO 2018: 30-33 - [c49]Pavel Chuprikov, Alex Davydow, Kirill Kogan, Sergey I. Nikolenko, Alexander Sirotkin:
Formalizing Compute-Aggregate Problems in Cloud Computing. SIROCCO 2018: 377-391 - [c48]Pavel Chuprikov, Kirill Kogan, Sergey I. Nikolenko:
How to implement complex policies on existing network infrastructure. SOSR 2018: 9:1-9:7 - [i11]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 abs/1809.04403 (2018) - [i10]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 abs/1811.07630 (2018) - [i9]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 abs/1811.11067 (2018) - [i8]Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh:
Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts. CoRR abs/1811.11523 (2018) - [i7]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 abs/1811.12823 (2018) - 2017
- [j18]Anton Alekseev, Sergey I. Nikolenko:
Word Embeddings for User Profiling in Online Social Networks. Computación y Sistemas 21(2) (2017) - [j17]Elena Tutubalina, Sergey I. Nikolenko:
Demographic Prediction Based on User Reviews about Medications. Computación y Sistemas 21(2) (2017) - [j16]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: 220-235 (2017) - [j15]Sergey I. Nikolenko, Sergei Koltcov, Olessia Koltsova:
Topic modelling for qualitative studies. J. Inf. Sci. 43(1): 88-102 (2017) - [j14]Patrick Eugster, Kirill Kogan, Sergey I. Nikolenko, Alexander V. Sirotkin:
Heterogeneous packet processing in shared memory buffers. J. Parallel Distributed Comput. 99: 1-13 (2017) - [j13]Kirill Kogan, Sergey I. Nikolenko, Patrick Eugster, Alexander Shalimov, Ori Rottenstreich:
Efficient FIB Representations on Distributed Platforms. IEEE/ACM Trans. Netw. 25(6): 3309-3322 (2017) - [c47]Pavel Chuprikov, Alex Davydow, Kirill Kogan, Sergey I. Nikolenko, Alexander V. Sirotkin:
Planning in compute-aggregate problems as optimization problems on graphs. ICNP 2017: 1-2 - [c46]Pavel Chuprikov, Kirill Kogan, Sergey I. Nikolenko:
General ternary bit strings on commodity longest-prefix-match infrastructures. ICNP 2017: 1-10 - [c45]Kirill Kogan, Danushka Menikkumbura, Gustavo Petri, Yangtae Noh, Sergey I. Nikolenko, Alexander Sirotkin, Patrick Eugster:
A programmable buffer management platform. ICNP 2017: 1-10 - [c44]Alex Davydow, Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan:
Throughput optimization with latency constraints. INFOCOM 2017: 1-9 - [c43]Sergey I. Nikolenko, Kirill Kogan, Antonio Fernández Anta:
Network simplification preserving bandwidth and routing capabilities. INFOCOM 2017: 1-9 - [e2]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. Communications in Computer and Information Science 661, 2017, ISBN 978-3-319-52919-6 [contents] - 2016
- [j12]Murat Apishev, Sergei Koltcov, Olessia Koltsova, Sergey I. Nikolenko, Konstantin V. Vorontsov:
Mining Ethnic Content Online with Additively Regularized Topic Models. Computación y Sistemas 20(3): 387-403 (2016) - [j11]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: 546-558 (2016) - [j10]Olessia Koltsova, Sergei Koltcov, Sergey I. Nikolenko:
Communities of co-commenting in the Russian LiveJournal and their topical coherence. Internet Res. 26(3): 710-732 (2016) - [j9]Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Gabriel Scalosub, Michael Segal:
Large profits or fast gains: A dilemma in maximizing throughput with applications to network processors. J. Netw. Comput. Appl. 74: 31-43 (2016) - [j8]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): 322-344 (2016) - [j7]Kirill Kogan, Sergey I. Nikolenko, Ori Rottenstreich, William Culhane, Patrick Eugster:
Exploiting Order Independence for Scalable and Expressive Packet Classification. IEEE/ACM Trans. Netw. 24(2): 1251-1264 (2016) - [c42]Anton Alekseev, Sergey I. Nikolenko:
User Profiling in Text-Based Recommender Systems Based on Distributed Word Representations. AIST 2016: 196-207 - [c41]Elena Tutubalina, Sergey I. Nikolenko:
Constructing Aspect-Based Sentiment Lexicons with Topic Modeling. AIST 2016: 208-220 - [c40]Sergey I. Nikolenko:
ARTM vs. LDA: an SVD Extension Case Study. AIST (Supplement) 2016: 276-282 - [c39]Kirill Kogan, Danushka Menikkumbura, Gustavo Petri, Youngtae Noh, Sergey I. Nikolenko, Patrick Eugster:
BASEL (Buffer mAnagement SpEcification Language). ANCS 2016: 69-74 - [c38]Kirill Kogan, Sergey I. Nikolenko, Patrick Eugster, Alexander Shalimov, Ori Rottenstreich:
FIB efficiency in distributed platforms. ICNP 2016: 1-10 - [c37]Aleksandr M. Semenov, Igor Zakhlebin, Alexander Tolmach, Sergey I. Nikolenko:
Pseudo-bimodal community detection in Twitter-based networks. ICUMT 2016: 336-341 - [c36]Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan:
On demand elastic capacity planning for service auto-scaling. INFOCOM 2016: 1-9 - [c35]Sergey I. Nikolenko, Kirill Kogan, Gábor Rétvári, Erika R. Bérczi-Kovács, Alexander Shalimov:
How to represent IPv6 forwarding tables on IPv4 or MPLS dataplanes. INFOCOM Workshops 2016: 521-526 - [c34]Sergei Koltcov, Sergey I. Nikolenko, Olessia Koltsova, Vladimir Filippov, Svetlana Bodrunova:
Stable Topic Modeling with Local Density Regularization. INSCI 2016: 176-188 - [c33]Murat Apishev, Sergei Koltcov, Olessia Koltsova, Sergey I. Nikolenko, Konstantin V. Vorontsov:
Additive Regularization for Topic Modeling in Sociological Studies of User-Generated Texts. MICAI (1) 2016: 169-184 - [c32]Elena Tutubalina, Sergey I. Nikolenko:
Automated Prediction of Demographic Information from Medical User Reviews. MIKE 2016: 174-184 - [c31]Sergey I. Nikolenko:
Topic Quality Metrics Based on Distributed Word Representations. SIGIR 2016: 1029-1032 - [c30]Sergei Koltsov, Sergey I. Nikolenko, Olessia Koltsova, Svetlana Bodrunova:
Stable topic modeling for web science: granulated LDA. WebSci 2016: 342-343 - [e1]Dmitry I. Ignatov, Mikhail Yu. Khachay, Valeri G. Labunets, Natalia V. Loukachevitch, Sergey I. Nikolenko, Alexander Panchenko, Andrey V. Savchenko, Konstantin V. Vorontsov:
Supplementary Proceedings of the Fifth International Conference on Analysis of Images, Social Networks and Texts (AIST 2016), Yekaterinburg, Russia, April 6-8, 2016. CEUR Workshop Proceedings 1710, CEUR-WS.org 2016 [contents] - [r1]Sergey I. Nikolenko, Kirill Kogan:
Single and Multiple Buffer Processing. Encyclopedia of Algorithms 2016: 1988-1994 - 2015
- [c29]Sergey I. Nikolenko:
A Probabilistic Rating System for Team Competitions with Individual Contributions. AIST 2015: 3-13 - [c28]Aleksandr M. Semenov, Alexey Natekin, Sergey I. Nikolenko, Philipp Upravitelev, Mikhail Trofimov, Maxim Kharchenko:
Discerning Depression Propensity Among Participants of Suicide and Depression-Related Groups of Vk.com. AIST 2015: 24-35 - [c27]Pavel Chuprikov, Sergey I. Nikolenko, Kirill Kogan:
Priority queueing with multiple packet characteristics. INFOCOM 2015: 1418-1426 - [c26]Sergey I. Nikolenko:
SVD-LDA: Topic Modeling for Full-Text Recommender Systems. MICAI (2) 2015: 67-79 - [c25]Elena Tutubalina, Sergey I. Nikolenko:
Inferring Sentiment-Based Priors in Topic Models. MICAI (2) 2015: 92-104 - [c24]Igor Zakhlebin, Aleksandr M. Semenov, Alexander Tolmach, Sergey I. Nikolenko:
Detecting Opinion Polarisation on Twitter by Constructing Pseudo-Bimodal Networks of Mentions and Retweets. RuSSIR 2015: 169-178 - [c23]Patrick Eugster, Alexander Kesselman, Kirill Kogan, Sergey I. Nikolenko, Alexander Sirotkin:
Essential Traffic Parameters for Shared Memory Switch Performance. SIROCCO 2015: 61-75 - [i6]Kirill Kogan, Danushka Menikkumbura, Gustavo Petri, Youngtae Noh, Sergey I. Nikolenko, Patrick Eugster:
BASEL (Buffering Architecture SpEcification Language). CoRR abs/1510.04235 (2015) - 2014
- [c22]Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Gabriel Scalosub, Michael Segal:
Balancing work and size with bounded buffers. COMSNETS 2014: 1-8 - [c21]Kirill Kogan, Sergey I. Nikolenko, Patrick Th. Eugster, Eddie Ruan:
Strategies for Mitigating TCAM Space Bottlenecks. Hot Interconnects 2014: 25-32 - [c20]Patrick Th. Eugster, Kirill Kogan, Sergey I. Nikolenko, Alexander Sirotkin:
Shared Memory Buffer Management for Heterogeneous Packet Processing. ICDCS 2014: 471-480 - [c19]Kirill Kogan, Sergey I. Nikolenko, Ori Rottenstreich, William Culhane, Patrick Eugster:
SAX-PAC (Scalable And eXpressive PAcket Classification). SIGCOMM 2014: 15-26 - [c18]Dmitry I. Ignatov, Sergey I. Nikolenko, Taimuraz Abaev, Natalia Konstantinova:
Online Recommender System for Radio Station Hosting: Experimental Results Revisited. WI-IAT (2) 2014: 229-236 - [c17]Sergei Koltsov, Olessia Koltsova, Sergey I. Nikolenko:
Latent dirichlet allocation: stability and applications to studies of user-generated content. WebSci 2014: 161-165 - 2013
- [j6]Sergey I. Nikolenko, Anton I. Korobeynikov, Max A. Alekseyev:
BayesHammer: Bayesian clustering for error correction in single-cell sequencing. BMC Genom. 14(S-1): S7 (2013) - [c16]Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Alexander Sirotkin:
Multi-queued network processors for packets with heterogeneous processing requirements. COMSNETS 2013: 1-10 - [c15]Kirill Kogan, Sergey I. Nikolenko, Srinivasan Keshav, Alejandro López-Ortiz:
Efficient demand assignment in multi-connected microgrids. e-Energy 2013: 277-278 - [c14]Kirill Kogan, Sergey I. Nikolenko, Srinivasan Keshav, Alejandro López-Ortiz:
Efficient demand assignment in multi-connected microgrids with a shared central grid. SustainIT 2013: 1-5 - [c13]Svetlana Bodrunova, Sergei Koltsov, Olessia Koltsova, Sergey I. Nikolenko, Anastasia Shimorina:
Interval Semi-supervised LDA: Classifying Needles in a Haystack. MICAI (1) 2013: 265-274 - [c12]Kirill Kogan, Sergey I. Nikolenko, William Culhane, Patrick Eugster, Eddie Ruan:
Towards efficient implementation of packet classifiers in SDN/OpenFlow. HotSDN 2013: 153-154 - [c11]Vasily A. Leksin, Sergey I. Nikolenko:
Semi-supervised Tag Extraction in a Web Recommender System. SISAP 2013: 206-212 - 2012
- [j5]Dima Grigoriev, Sergey I. Nikolenko:
Continuous hard-to-invert functions and biometric authentication. Groups Complex. Cryptol. 4(1): 19-32 (2012) - [j4]Anton Bankevich, Sergey Nurk, Dmitry Antipov, Alexey A. Gurevich, Mikhail Dvorkin, Alexander S. Kulikov, Valery M. Lesin, Sergey I. Nikolenko, Son K. Pham, Andrey D. Prjibelski, Alex Pyshkin, Alexander Sirotkin, Nikolay Vyahhi, Glenn Tesler, Max A. Alekseyev, Pavel A. Pevzner:
SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing. J. Comput. Biol. 19(5): 455-477 (2012) - [c10]Dmitry I. Ignatov, Andrey V. Konstantinov, Sergey I. Nikolenko, Jonas Poelmans, Vasily Zaharchuk:
Online Recommender System for Radio Station Hosting. BIR 2012: 1-12 - [c9]Ilya Chernyavsky, Theodore Alexandrov, Peter Maass, Sergey I. Nikolenko:
A Two-Step Soft Segmentation Procedure for MALDI Imaging Mass Spectrometry Data. GCB 2012: 39-48 - [c8]Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Alexander Sirotkin:
A taxonomy of Semi-FIFO policies. IPCCC 2012: 295-304 - [c7]Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Alexander Sirotkin, Denis Tugaryov:
FIFO Queueing Policies for Packets with Heterogeneous Processing. MedAlg 2012: 248-260 - [i5]Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Alexander Sirotkin, Denis Tugaryov:
FIFO Queueing Policies for Packets with Heterogeneous Processing. CoRR abs/1204.5443 (2012) - [i4]Sergey I. Nikolenko, Anton I. Korobeynikov, Max A. Alekseyev:
BayesHammer: Bayesian clustering for error correction in single-cell sequencing. CoRR abs/1211.2756 (2012) - 2011
- [c6]Alex Davydow, Sergey I. Nikolenko:
Gate Elimination for Linear Functions and New Feebly Secure Constructions. CSR 2011: 148-161 - [c5]Sergey I. Nikolenko, Alexander Sirotkin:
A New Bayesian Rating System for Team Competitions. ICML 2011: 601-608
2000 – 2009
- 2009
- [j3]Cyril A. Pshenichny, Sergey I. Nikolenko, Roberto Carniel, P. A. Vaganov, Zinaida V. Khrabrykh, V. P. Moukhachov, V. L. Akimova-Shterkhun, A. A. Rezyapkin:
The event bush as a semantic-based numerical approach to natural hazard assessment (exemplified by volcanology). Comput. Geosci. 35(5): 1017-1034 (2009) - [j2]Edward A. Hirsch, Arist Kojevnikov, Alexander S. Kulikov, Sergey I. Nikolenko:
Complexity of Semialgebraic Proofs with Restricted Degree of Falsity. J. Satisf. Boolean Model. Comput. 6(1-3): 53-69 (2009) - [j1]A. A. Kozhevnikov, Sergey I. Nikolenko:
On complete one-way functions. Probl. Inf. Transm. 45(2): 168-183 (2009) - [c4]Edward A. Hirsch, Sergey I. Nikolenko:
A Feebly Secure Trapdoor Function. CSR 2009: 129-142 - 2008
- [c3]Arist Kojevnikov, Sergey I. Nikolenko:
New Combinatorial Complete One-Way Functions. STACS 2008: 457-466 - [i3]Arist Kojevnikov, Sergey I. Nikolenko:
New Combinatorial Complete One-Way Functions. CoRR abs/0802.2863 (2008) - 2005
- [c2]Alexander L. Tulupyev, Sergey I. Nikolenko:
Directed Cycles in Bayesian Belief Networks: Probabilistic Semantics and Consistency Checking Complexity. MICAI 2005: 214-223 - [c1]Edward A. Hirsch, Sergey I. Nikolenko:
Simulating Cutting Plane Proofs with Restricted Degree of Falsity by Resolution. SAT 2005: 135-142 - [i2]Edward A. Hirsch, Sergey I. Nikolenko:
Simulating Cutting Plane proofs with restricted degree of falsity by Resolution. Electron. Colloquium Comput. Complex. TR05 (2005) - 2003
- [i1]Sergey I. Nikolenko:
Hard satisfiable formulas for DPLL-type algorithms. CoRR cs.CC/0301012 (2003)
Coauthor Index
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