Interval Semi-supervised LDA: Classifying Needles in a Haystack. - Svetlana Bodrunova; Sergei Koltsov; Olessia Koltsova; Sergey I. Nikolenko; Anastasia Shimorina (MICAI (1), 2013)

Общественное мнение онлайн: сравнение структуры и тематики постов «обычных» и «популярных» блогеров Живого Журнала (Vox Populi Online: The Comparison of Posts' Structure and Topics Among the "Regular" and "Popular" Bloggers on LiveJournal). - Svetlana Alexeeva; Olessia Koltsova; Sergei Koltsov (AIST (Supplement), 2014)

Latent dirichlet allocation: stability and applications to studies of user-generated content. - Sergei Koltsov; Olessia Koltsova; Sergey I. Nikolenko (WebSci, 2014)

Do ordinary bloggers really differ from blog celebrities? - Olessia Koltsova; Sergei Koltsov; Svetlana Alexeeva (WebSci, 2014)

9th Russian Summer School in Information Retrieval (RuSSIR 2015). - Pavel Braslavski 001; Ilya Markov; Panos M. Pardalos; Yana Volkovich; Sergei Koltsov; Olessia Koltsova; Dmitry I. Ignatov (SIGIR Forum, 2015)

Stable Topic Modeling with Local Density Regularization. - Sergei Koltcov; Sergey I. Nikolenko; Olessia Koltsova; Vladimir Filippov; Svetlana Bodrunova (INSCI, 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 (MICAI (1), 2016)

Stable topic modeling for web science: granulated LDA. - Sergei Koltsov; Sergey I. Nikolenko; Olessia Koltsova; Svetlana Bodrunova (WebSci, 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)

Communities of co-commenting in the Russian LiveJournal and their topical coherence. - Olessia Koltsova; Sergei Koltcov; Sergey I. Nikolenko (Internet Res., 2016)

When Internet Really Connects Across Space: Communities of Software Developers in Vkontakte Social Networking Site. - Olessia Koltsova; Sergei Koltsov; Yadviga Sinyavskaya (SocInfo (2), 2017)

Topic modelling for qualitative studies. - Sergey I. Nikolenko; Sergei Koltcov; Olessia Koltsova (J. Inf. Sci., 2017)

Echo Chambers vs Opinion Crossroads in News Consumption on Social Media. - Sofia Dokuka; Sergei Koltcov; Olessia Koltsova; Maxim Koltsov (AIST, 2018)

A Full-Cycle Methodology for News Topic Modeling and User Feedback Research. - Sergei Koltsov; Sergei Pashakhin; Sofia Dokuka (SocInfo (1), 2018)

Estimating Topic Modeling Performance with Sharma-Mittal Entropy. - Sergei Koltcov; Vera Ignatenko; Olessia Koltsova (Entropy, 2019)

Renormalization Approach to the Task of Determining the Number of Topics in Topic Modeling. - Sergei Koltcov; Vera Ignatenko (SAI (1), 2020)

How Many Clusters? An Entropic Approach to Hierarchical Cluster Analysis. - Sergei Koltcov; Vera Ignatenko; Sergei Pashakhin (SAI (3), 2020)

Renormalization Analysis of Topic Models. - Sergei Koltcov; Vera Ignatenko (Entropy, 2020)

Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi Entropy. - Sergei Koltcov; Vera Ignatenko; Zeyd Boukhers; Steffen Staab (Entropy, 2020)

Testing Users' Ability to Recognize Fake News in Three Countries. An Experimental Perspective. - Victoria Vziatysheva; Yadviga Sinyavskaya; Alexander Porshnev; Maxim Terpilovskii; Sergei Koltcov; Kirill Bryanov (HCI (13), 2021)

Analysis and tuning of hierarchical topic models based on Renyi entropy approach. - Sergei Koltcov; Vera Ignatenko; Maxim Terpilovskii; Paolo Rosso (PeerJ Comput. Sci., 2021)

Application of Duality Properties of Renyi Entropy for Parameter Tuning in an Unsupervised Machine Learning Task. - Sergei Koltcov (ICAI, 2022)

STTM: an efficient approach to estimating news impact on stock movement direction. - Aleksei Riabykh; Denis Surzhko; Maxim Konovalikhin; Sergei Koltcov (PeerJ Comput. Sci., 2022)

Random forests with parametric entropy-based information gains for classification and regression problems. - Vera Ignatenko; Anton Surkov; Sergei Koltcov (PeerJ Comput. Sci., 2024)

Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics. - Sergei Koltcov; Anton Surkov; Vladimir Filippov; Vera Ignatenko (PeerJ Comput. Sci., 2024)

Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language. - Sergei Koltcov; Anton Surkov; Olessia Koltsova; Vera Ignatenko (PeerJ Comput. Sci., 2024)