Cooperative Coevolutionary Ensemble Learning. - Daniel Kanevskiy; Konstantin V. Vorontsov (MCS, 2007)

Learning to Rank with Nonlinear Monotonic Ensemble. - Nikita Spirin; Konstantin V. Vorontsov (MCS, 2011)

Tight Combinatorial Generalization Bounds for Threshold Conjunction Rules. - Konstantin V. Vorontsov; Andrey Ivahnenko (PReMI, 2011)

Robust PLSA Performs Better Than LDA. - Anna Potapenko; Konstantin V. Vorontsov (ECIR, 2013)

Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization. - Konstantin V. Vorontsov; Anna Potapenko (AIST, 2014)

BigARTM: Open Source Library for Regularized Multimodal Topic Modeling of Large Collections. - Konstantin V. Vorontsov; Oleksandr Frei; Murat Apishev; Peter Romov; Marina Dudarenko (AIST, 2015)

Non-Bayesian Additive Regularization for Multimodal Topic Modeling of Large Collections. - Konstantin V. Vorontsov; Oleksandr Frei; Murat Apishev; Peter Romov; Marina Suvorova; Anastasia Yanina (TM@CIKM, 2015)

Additive Regularization of Topic Models for Topic Selection and Sparse Factorization. - Konstantin V. Vorontsov; Anna Potapenko; Alexander Plavin (SLDS, 2015)

Additive regularization of topic models. - Konstantin V. Vorontsov; Anna Potapenko (Mach. Learn., 2015)

Additive Regularization for Topic Modeling in Sociological Studies of User-Generated Texts. - Murat Apishev; Sergei Koltcov; Olessia Koltsova; Sergey I. Nikolenko; Konstantin V. Vorontsov (MICAI (1), 2016)

Mining Ethnic Content Online with Additively Regularized Topic Models. - Murat Apishev; Sergei Koltcov; Olessia Koltsova; Sergey I. Nikolenko; Konstantin V. Vorontsov (Computación y Sistemas, 2016)

Fast and modular regularized topic modelling. - Denis Kochedykov; Murat Apishev; Lev Golitsyn; Konstantin V. Vorontsov (FRUCT, 2017)

Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks. - Anna Potapenko; Artem Popov; Konstantin V. Vorontsov (CoRR, 2017)

Regularized Multimodal Hierarchical Topic Model for Document-by-Document Exploratory Search. - Anastasia Ianina; Konstantin V. Vorontsov (FRUCT, 2019)

Lexical Quantile-Based Text Complexity Measure. - Maksim Eremeev; Konstantin V. Vorontsov (RANLP, 2019)

Topic Balancing with Additive Regularization of Topic Models. - Eugenia Veselova; Konstantin V. Vorontsov (ACL (student), 2020)

Learning Topic Models with Arbitrary Loss. - Murat Apishev; Konstantin V. Vorontsov (FRUCT, 2020)

TopicNet: Making Additive Regularisation for Topic Modelling Accessible. - Victor Bulatov; Vasiliy Alekseev; Konstantin V. Vorontsov; Darya Polyudova; Eugenia Veselova; Alexey Goncharov; Evgeniy S. Egorov (LREC, 2020)

Hierarchical Interpretable Topical Embeddings for Exploratory Search and Real-Time Document Tracking. - Anastasia Ianina; Konstantin V. Vorontsov (Int. J. Embed. Real Time Commun. Syst., 2020)

Sharpness Estimation of Combinatorial Generalization Ability Bounds for Threshold Decision Rules. - Sh. Kh. Ishkina; Konstantin V. Vorontsov (Autom. Remote. Control., 2021)

Opening Remarks by the Program Committee of the Conference "Intelligent Data Processing. Theory and Applications" (IDP-2020). - Konstantin V. Vorontsov; Yuriy I. Zhuravlev; Alexander A. Lazarev; Darya V. Lemtyuzhnikova; Konstantin V. Rudakov; Vadim V. Strizhov; Yulia V. Chekhovich; Yuri V. Chekhovich (Autom. Remote. Control., 2021)

TopicBank: Collection of coherent topics using multiple model training with their further use for topic model validation. - Vasiliy Alekseev; Evgeny S. Egorov; Konstantin V. Vorontsov; Alexey Goncharov; Kaidar Nurumov; Timur Buldybayev (Data Knowl. Eng., 2021)

Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems. - Alexey Grishanov; Anastasia Ianina; Konstantin V. Vorontsov (RecSys, 2022)

Foreword of the Program Committee of the Conference "Mathematical Pattern Recognition Methods". - Konstantin V. Vorontsov; Alexander A. Lazarev; Darya V. Lemtyuzhnikova; Vadim V. Strijov; Yulia V. Chekhovich; Yuri V. Chekhovich (Autom. Remote. Control., 2022)

Optimizing Modality Weights in Topic Models of Transactional Data. - K. Ya. Khrylchenko; Konstantin V. Vorontsov (Autom. Remote. Control., 2022)

Improving the Quality of Machine Translation Using the Reverse Model. - N. A. Skachkov; Konstantin V. Vorontsov (Autom. Remote. Control., 2022)

Determination of the Number of Topics Intrinsically: Is It Possible? - Victor Bulatov; Vasiliy Alekseev; Konstantin V. Vorontsov (AIST (Supplement), 2023)

Iterative Improvement of an Additively Regularized Topic Model. - Alex Gorbulev; Vasiliy Alekseev; Konstantin V. Vorontsov (AIST, 2024)

Detecting Human Values and Sentiments in Large Text Collections with a Context-Dependent Information Markup: A Methodology and Math. - Olga Rink; Viktor Lobachev; Konstantin V. Vorontsov (HCI (20), 2024)

Digital Publics and the Ukraine Dilemma: Topic Modelling of the Cumulative Twitter Discussion. - Anna Sytnik; Polina Chernikova; Konstantin V. Vorontsov; Mariia Bazlutckaia (HCI (22), 2024)

Automated Detection of Human Values in Texts: ML Challenges and Performance Benchmarks. - Olga Rink; Archil Maysuradze; Artem Fedorov; Roman Ischenko; Anna Korchagina; Andrey Tabachenkov; Ilya Tsybanov; Konstantin V. Vorontsov (HCI (22), 2025)