A no-regret generalization of hierarchical softmax to extreme multi-label classification M Wydmuch, K Jasinska, M Kuznetsov, R Busa-Fekete, K Dembczynski Advances in neural information processing systems 31, 2018 | 109 | 2018 |
Methods for Intrinsic Plagiarism Detection and Author Diarization. MP Kuznetsov, A Motrenko, R Kuznetsova, VV Strijov CLEF (Working notes), 912-919, 2016 | 53 | 2016 |
Methods of expert estimations concordance for integral quality estimation MP Kuznetsov, VV Strijov Expert Systems with Applications 41 (4), 1988-1996, 2014 | 37 | 2014 |
Probabilistic label trees for extreme multi-label classification K Jasinska-Kobus, M Wydmuch, K Dembczynski, M Kuznetsov, ... arXiv preprint arXiv:2009.11218, 2020 | 26 | 2020 |
Selecting an optimal model for forecasting the volumes of railway goods transportation KV Rudakov, VV Strizhov, DO Kashirin, MP Kuznetsov, AP Motrenko, ... Automation and Remote Control 78, 75-87, 2017 | 14 | 2017 |
Analytic and stochastic methods of structure parameter estimation M Kuznetsov, A Tokmakova, V Strijov Informatica 27 (3), 607-624, 2016 | 11 | 2016 |
Ordinal classification using Pareto fronts MM Stenina, MP Kuznetsov, VV Strijov Expert Systems with Applications 42 (14), 5947-5953, 2015 | 7 | 2015 |
Relevance-aware filtering of tuples sorted by an attribute value via direct optimization of search quality metrics NV Spirin, M Kuznetsov, J Kiseleva, YV Spirin, PA Izhutov Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 7 | 2015 |
Time series classification algorithm using combined feature description MP Kuznetsov, NP Ivkin Journal of Machine Learning and Data Analysis 1 (11), 1471-1483, 2014 | 7 | 2014 |
Staging e-commerce products for online advertising using retrieval assisted image generation YN Ku, M Kuznetsov, S Mishra, P de Juan arXiv preprint arXiv:2307.15326, 2023 | 6 | 2023 |
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search S Mishra, M Kuznetsov, G Srivastava, M Sviridenko Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 5 | 2021 |
Smoothing prediction algorithms MP Kuznetsov, AA Mafusailov, NK Zhivotovskii Mash. Obuch. Analiz Dann 1, 104-112, 2011 | 5 | 2011 |
On the computational complexity of the probabilistic label tree algorithms R Busa-Fekete, K Dembczynski, A Golovnev, K Jasinska, M Kuznetsov, ... arXiv preprint arXiv:1906.00294, 2019 | 4 | 2019 |
Supervised topic classification for modeling a hierarchical conference structure M Kuznetsov, M Clausel, MR Amini, E Gaussier, V Strijov Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 4 | 2015 |
Metric concentration search procedure using reduced matrix of pairwise distances AM Katrutsa, MP Kuznetsov, KV Rudakov, VV Strijov Intelligent Data Analysis 19 (5), 1091-1108, 2015 | 2 | 2015 |
Selecting the Superpositioning of Models for Railway Freight Forecasting ND Uvarov, MP Kuznetsov, AS Malkova, KV Rudakov, VV Strijov Moscow University Computational Mathematics and Cybernetics 42, 186-193, 2018 | 1 | 2018 |
Methods for intrinsic plagiarism detection KF Safin, MP Kuznetsov, MV Kuznetsova Informatika i Ee Primeneniya [Informatics and its Applications] 11 (3), 73-79, 2017 | 1 | 2017 |
Distributionally robust self-supervised learning for tabular data S Ghosh, T Xie, M Kuznetsov arXiv preprint arXiv:2410.08511, 2024 | | 2024 |
HLogformer: A Hierarchical Transformer for Representing Log Data Z Hou, M Ghashami, M Kuznetsov, MA Torkamani arXiv preprint arXiv:2408.16803, 2024 | | 2024 |
An evaluation benchmark for generative AI in security domain M Ghashami, M Kuznetsov, V Gao, G Teng, P Wallis, J Xie, A Torkamani, ... | | 2024 |