Konstantin V. Vorontsov

According to our database, Konstantin V. Vorontsov authored at least 30 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Iterative Improvement of an Additively Regularized Topic Model.

Alex Gorbulev, Vasiliy Alekseev, Konstantin V. Vorontsov

CoRR, 2024

Digital Publics and the Ukraine Dilemma: Topic Modelling of the Cumulative Twitter Discussion.

Anna Sytnik, Polina Chernikova, Konstantin V. Vorontsov, Mariia Bazlutckaia

Proceedings of the Social Computing and Social Media, 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

Proceedings of the Social Computing and Social Media, 2024

2023

Determination of the Number of Topics Intrinsically: Is It Possible?

Victor Bulatov, Vasiliy Alekseev, Konstantin V. Vorontsov

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2023

2022

Improving the Quality of Machine Translation Using the Reverse Model.

N. A. Skachkov, Konstantin V. Vorontsov

Autom. Remote. Control., December, 2022

Optimizing Modality Weights in Topic Models of Transactional Data.

K. Ya. Khrylchenko, Konstantin V. Vorontsov

Autom. Remote. Control., December, 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

Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems.

Alexey Grishanov, Anastasia Ianina, Konstantin V. Vorontsov

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

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

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

Sharpness Estimation of Combinatorial Generalization Ability Bounds for Threshold Decision Rules.

Sh. Kh. Ishkina, Konstantin V. Vorontsov

Autom. Remote. Control., 2021

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

TopicNet: Making Additive Regularisation for Topic Modelling Accessible.

Victor Bulatov, Vasiliy Alekseev, Konstantin V. Vorontsov, Darya Polyudova, Eugenia Veselova, Alexey Goncharov, Evgeniy S. Egorov

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Learning Topic Models with Arbitrary Loss.

Murat Apishev, Konstantin V. Vorontsov

Proceedings of the 26th Conference of Open Innovations Association, 2020

Topic Balancing with Additive Regularization of Topic Models.

Eugenia Veselova, Konstantin V. Vorontsov

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

Lexical Quantile-Based Text Complexity Measure.

Maksim Eremeev, Konstantin V. Vorontsov

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Regularized Multimodal Hierarchical Topic Model for Document-by-Document Exploratory Search.

Anastasia Ianina, Konstantin V. Vorontsov

Proceedings of the 25th Conference of Open Innovations Association, 2019

2017

Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks.

Anna Potapenko, Artem Popov, Konstantin V. Vorontsov

CoRR, 2017

Fast and modular regularized topic modelling.

Denis Kochedykov, Murat Apishev, Lev Golitsyn, Konstantin V. Vorontsov

Proceedings of the 21st Conference of Open Innovations Association, 2017

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

Additive Regularization for Topic Modeling in Sociological Studies of User-Generated Texts.

Murat Apishev, Sergei Koltcov, Olessia Koltsova, Sergey I. Nikolenko, Konstantin V. Vorontsov

Proceedings of the Advances in Computational Intelligence, 2016

2015

Additive regularization of topic models.

Konstantin V. Vorontsov, Anna Potapenko

Mach. Learn., 2015

Additive Regularization of Topic Models for Topic Selection and Sparse Factorization.

Konstantin V. Vorontsov, Anna Potapenko, Alexander Plavin

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 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

Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, 2015

BigARTM: Open Source Library for Regularized Multimodal Topic Modeling of Large Collections.

Konstantin V. Vorontsov, Oleksandr Frei, Murat Apishev, Peter Romov, Marina Dudarenko

Proceedings of the Analysis of Images, Social Networks and Texts, 2015

2014

Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization.

Konstantin V. Vorontsov, Anna Potapenko

Proceedings of the Analysis of Images, Social Networks and Texts, 2014

2013

Robust PLSA Performs Better Than LDA.

Anna Potapenko, Konstantin V. Vorontsov

Proceedings of the Advances in Information Retrieval, 2013

2011

Tight Combinatorial Generalization Bounds for Threshold Conjunction Rules.

Konstantin V. Vorontsov, Andrey Ivahnenko

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Learning to Rank with Nonlinear Monotonic Ensemble.

Nikita Spirin, Konstantin V. Vorontsov

Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2007

Cooperative Coevolutionary Ensemble Learning.

Daniel Kanevskiy, Konstantin V. Vorontsov

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007