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)

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

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)