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ORCIDKonstantin V. Vorontsov
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2020 – today
- 2024
[c18]Anna Sytnik
, Polina Chernikova, Konstantin V. Vorontsov, Mariia Bazlutckaia:
Digital Publics and the Ukraine Dilemma: Topic Modelling of the Cumulative Twitter Discussion. HCI (22) 2024: 190-207- [c17]Olga Rink, Viktor Lobachev, Konstantin V. Vorontsov:
Detecting Human Values and Sentiments in Large Text Collections with a Context-Dependent Information Markup: A Methodology and Math. HCI (20) 2024: 372-383 - [i3]Victor Bulatov, Vasiliy Alekseev, Konstantin V. Vorontsov:
Determination of the Number of Topics Intrinsically: Is It Possible? CoRR abs/2406.10402 (2024) - [i2]Alex Gorbulev, Vasiliy Alekseev, Konstantin V. Vorontsov:
Iterative Improvement of an Additively Regularized Topic Model. CoRR abs/2408.05840 (2024) - 2022
- [j9]Konstantin V. Vorontsov, Alexander A. Lazarev, Darya V. Lemtyuzhnikova, Vadim V. Strijov, Yulia V. Chekhovich, Yuri V. Chekhovich:
Foreword of the Program Committee of the Conference "Mathematical Pattern Recognition Methods". Autom. Remote. Control. 83(10): 1491-1495 (2022) - [j8]N. A. Skachkov, Konstantin V. Vorontsov:
Improving the Quality of Machine Translation Using the Reverse Model. Autom. Remote. Control. 83(12): 1897-1907 (2022) - [j7]K. Ya. Khrylchenko, Konstantin V. Vorontsov:
Optimizing Modality Weights in Topic Models of Transactional Data. Autom. Remote. Control. 83(12): 1908-1922 (2022) - [c16]Alexey Grishanov, Anastasia Ianina, Konstantin V. Vorontsov:
Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems. RecSys 2022: 622-627 - 2021
- [j6]Sh. Kh. Ishkina, Konstantin V. Vorontsov:
Sharpness Estimation of Combinatorial Generalization Ability Bounds for Threshold Decision Rules. Autom. Remote. Control. 82(5): 863-876 (2021) - [j5]Konstantin V. Vorontsov, Yuriy I. Zhuravlev, Alexander A. Lazarev, Darya V. Lemtyuzhnikova, Konstantin V. Rudakov, Vadim V. Strizhov, Yulia V. Chekhovich, Yuri V. Chekhovich:
Opening Remarks by the Program Committee of the Conference "Intelligent Data Processing. Theory and Applications" (IDP-2020). Autom. Remote. Control. 82(10): 1633-1634 (2021) - [j4]Vasiliy Alekseev, Evgeny S. Egorov, Konstantin V. Vorontsov, Alexey Goncharov, Kaidar Nurumov, Timur Buldybayev:
TopicBank: Collection of coherent topics using multiple model training with their further use for topic model validation. Data Knowl. Eng. 135: 101921 (2021) - 2020
- [j3]Anastasia Ianina, Konstantin V. Vorontsov:
Hierarchical Interpretable Topical Embeddings for Exploratory Search and Real-Time Document Tracking. Int. J. Embed. Real Time Commun. Syst. 11(4): 134-152 (2020) - [c15]Eugenia Veselova, Konstantin V. Vorontsov:
Topic Balancing with Additive Regularization of Topic Models. ACL (student) 2020: 59-65 - [c14]Murat Apishev, Konstantin V. Vorontsov:
Learning Topic Models with Arbitrary Loss. FRUCT 2020: 1-8 - [c13]Victor Bulatov, Vasiliy Alekseev, Konstantin V. Vorontsov, Darya Polyudova, Eugenia Veselova, Alexey Goncharov, Evgeniy S. Egorov:
TopicNet: Making Additive Regularisation for Topic Modelling Accessible. LREC 2020: 6745-6752
2010 – 2019
- 2019
- [c12]Anastasia Ianina, Konstantin V. Vorontsov:
Regularized Multimodal Hierarchical Topic Model for Document-by-Document Exploratory Search. FRUCT 2019: 131-138 - [c11]Maksim Eremeev, Konstantin V. Vorontsov:
Lexical Quantile-Based Text Complexity Measure. RANLP 2019: 270-275 - [e3]Vadim V. Strijov, Dmitry I. Ignatov, Konstantin V. Vorontsov:
Intelligent Data Processing, 11th International Conference, IDP 2016, Barcelona, Spain, October 10-14, 2016, Revised Selected Papers. Communications in Computer and Information Science 794, Springer 2019, ISBN 978-3-030-35399-5 [contents] - 2017
- [c10]Denis Kochedykov, Murat Apishev, Lev Golitsyn, Konstantin V. Vorontsov:
Fast and modular regularized topic modelling. FRUCT 2017: 182-193 - [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] - [i1]Anna Potapenko, Artem Popov, Konstantin V. Vorontsov:
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks. CoRR abs/1711.04154 (2017) - 2016
- [j2]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) - [c9]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 - [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] - 2015
- [j1]Konstantin V. Vorontsov, Anna Potapenko:
Additive regularization of topic models. Mach. Learn. 101(1-3): 303-323 (2015) - [c8]Konstantin V. Vorontsov, Oleksandr Frei, Murat Apishev, Peter Romov, Marina Dudarenko:
BigARTM: Open Source Library for Regularized Multimodal Topic Modeling of Large Collections. AIST 2015: 370-381 - [c7]Konstantin V. Vorontsov, Oleksandr Frei, Murat Apishev, Peter Romov, Marina Suvorova, Anastasia Yanina:
Non-Bayesian Additive Regularization for Multimodal Topic Modeling of Large Collections. TM@CIKM 2015: 29-37 - [c6]Konstantin V. Vorontsov, Anna Potapenko, Alexander Plavin:
Additive Regularization of Topic Models for Topic Selection and Sparse Factorization. SLDS 2015: 193-202 - 2014
- [c5]Konstantin V. Vorontsov, Anna Potapenko:
Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization. AIST 2014: 29-46 - 2013
- [c4]Anna Potapenko, Konstantin V. Vorontsov:
Robust PLSA Performs Better Than LDA. ECIR 2013: 784-787 - 2011
- [c3]Nikita Spirin, Konstantin V. Vorontsov:
Learning to Rank with Nonlinear Monotonic Ensemble. MCS 2011: 16-25 - [c2]Konstantin V. Vorontsov, Andrey Ivahnenko:
Tight Combinatorial Generalization Bounds for Threshold Conjunction Rules. PReMI 2011: 66-73
2000 – 2009
- 2007
- [c1]Daniel Kanevskiy, Konstantin V. Vorontsov:
Cooperative Coevolutionary Ensemble Learning. MCS 2007: 469-478
Coauthor Index
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