Accepted Papers

Note that the titles/authors may change and papers may be withdrawn. For the final titles/authors, please refer to the proceedings when they are out.

Data Analysis and Machine Learning

LNCS

Ensemble Clustering with Heterogeneous Transfer Learning
Vladimir Berikov

Metamorphic testing for recommender systems
Sofia Iakusheva and Anton Khritankov

Application of Dynamic Graph CNN* and FICP for Detection and Research Archaeology Sites
Aleksandr Vokhmintcev, Olga Khristodulo, Andrey Melnikov and Matvei Romanov

Detecting design patterns in Android applications with CodeBERT embeddings and CK metrics
Gcinizwe Dlamini, Ahmad Usman, Lionel Randall Kharkrang and Vladimir Ivanov


CCIS

Data-Driven Approach for Identifying Functional State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis
Ekaterina Zvorykina, Yurii Beschastnov, Majid Sohrabi and Vasilii Gromov

Interpretable Embeddings for Geographic Transactional Activity Analysis
Gleb Glukhov, Pavel Zhdanov and Egor Shikov

Application of Multimodal Machine Learning for Image Recommendation Systems
Mikhail Foniakov, Anatoly Bardukov and Ilya Makarov

Computer Vision

LNCS

MiVOLO: Multi-input Transformer for Age and Gender Estimation
Maksim Kuprashevich and Irina Tolstykh

DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images
Razan Dibo, Andrey Galichin, Pavel Astashev, Dmitry V. Dylov and Oleg Y. Rogov

Greedy Algorithm for Fast Finding Curvilinear Symmetry of Binary Raster Images
Oleg Seredin, Daniil Liakhov, Nikita Lomov, Olesia Kushnir and Andrei Kopylov

Handwritten Text Recognition and Browsing in Archive of Prisoners’ Letters from Smolensk Convict Prison
Nikita Lomov, Dmitry Kropotov, Danila Stepochkin and Anton Laptev


CCIS

Interactive Image Segmentation with Superpixel Propagation
Hrach Ayunts, Varduhi Yeghiazaryan, Shant Navasardyan and Humphrey Shi

Acne recognition: training models with experts
Stefan Nikolic, Dmitriy Ignatov and Peter Fedorov

Gesture recognition on video data
Georgy Gunkin and Ilya Makarov

Learning facial expression recognition in-the-wild from synthetic data based on an ensemble of lightweight neural networks
Long Nguyen and Andrey Savchenko

Semantic-aware GAN Manipulations for Human Face Editing
Pavel Khlusov and Ilya Makarov

Natural Language Processing

LNCS

Paraphrasers and Classifiers: Controllable Text Generation for Text Style Transfer
Evgeny Orlov and Murat Apishev

Controllable story generation based on perplexity minimization
Sergey Vychegzhanin, Anastasia Kotelnikova, Alexander Sergeev and Evgeny Kotelnikov

Leveraging Lexical Taxonomy Data in Large Language Models for Hyponymy Prediction
Polina Chernomorchenko, Alexander Panchenko and Irina Nikishina

Static, dynamic, or contextualized: what is the best approach for discovering semantic shifts in Russian media?
Maria Tikhonova and Veronika Nikonova

Less than Necessary or More than Sufficient: Validating Probing Dataset Size
Evgeny Orlov and Oleg Serikov

Needle in a Haystack: Finding Suitable Idioms Based on Text Descriptions
Dmitrii Zhernokleev and Pavel Braslavski

Benchmarking Multi-Label Topic Classification in Kyrgyz Language
Anton Alekseev, Sergey Nikolenko and Gulnara Kabaeva

Content selection in abstractive summarization with biased encoder mixtures
Daniil Chernyshev and Boris Dobrov

Automatic Detection of Dialectal Features of Pskov Dialects in the Speech of Native Speakers
Ekaterina Zalivina

A computational study of matrix decomposition methods for compression of pre-trained Transformers
Viktoriia Chekalina, Sergey Pletenev, Daniil Moskovskiy, Sergey Zagoruyko, Mikhail Seleznev and Alexander Panchenko

Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses
Özge Sevgili, Steffen Remus, Abhik Jana, Alexander Panchenko and Chris Biemann

RuCAM: Comparative Argumentative Machine for the Russian Language
Maria Maslova, Stefan Rebrikov, Chris Biemann and Irina Nikishina


CCIS

The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends
Andrei Zaichenko, Aleksei Kazakov, Elizaveta Kovtun and Semen Budennyy

Prompt-tuning for Targeted Sentiment Analysis in Russian
Yuliana Solomatina and Natalia Loukachevitch

Tuning-free Discriminative Nearest Neighbor Few-shot Intent Detection via Consecutive Knowledge Transfer
Maksim Savkin and Vasily Konovalov

Determination of the Number of Topics Intrinsically: Is It Possible?
Victor Bulatov, Vasiliy Alekseev and Konstantin Vorontsov

User Review Summarization in Russian
Artem Prisiazhniuk and Valentin Malykh

Automatic aspect extraction from scientific texts
Anna Marshalova, Elena Bruches and Tatiana Batura

Whether Large Language Models Learn at the Inference Stage?
Vladlen Kulikov, Ilya Makarov and Radoslav Neychev

Sentence Difficulty in Three Languages: Russian Dataset compared to Italian and English
Vladimir Ivanov and Elbayoumi Mohamed Gamal

Document-level relation extraction in Russian
Alexey Yandutov and Natalia Loukachevitch

On the Way to Controllable Text Summarization in Russian
Maria Tikhonova and Alyona Dryomina

Machine Translation for Russian-Khakas language pair: translation results in low-resource setting
Anna Lebedeva

Machine Translation Models Stand Strong in the Face of Adversarial Attacks
Elizaveta Kostenok, Pavel Burnyshev and Alexey Zaytsev

Social Network Analysis

LNCS

Visualization-Driven Graph Sampling Strategy for Exploring Large-Scale Networks
Gagik Khalafyan, Irina Tirosyan and Varduhi Yeghiazaryan

Limit Distributions of Friendship Index in Scale-Free Networks
Sergei Sidorov, Sergei Mironov and Alexey Grigoriev


CCIS

Approximate Density Computation for OA-biclustering
Dmitry Ignatov, Kamila Usmanova and Daria Komissarova

Theoretical Machine Learning and Optimization

LNCS

Is Canfield Right? On the Asymptotic Coefficients for the Maximum Antichain of Partitions and Related Counting Inequalities
Dmitry Ignatov

The Problem of Finding Several Given Diameter Spanning Trees of Maximum Total Weight in a Complete Graph
Edward Kh. Gimadi and Alexandr Shtepa


CCIS

Distributed Bayesian Coresets
Vladimir Omelyusik and Maxim Panov