activity
20172022
most citedSynthetic Data-Based Simulators for Recommender Systems: A Survey

4 citations · 8 across the 3 of their papers we have counts for

collaborators

6 papers

cs.IR2022★ 4 cited

Synthetic Data-Based Simulators for Recommender Systems: A Survey

Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich +3

This survey aims at providing a comprehensive overview of the recent trends in the field of modeling and simulation (M&S) of interactions between users and recommender systems and…

cs.CL2022★ 2 cited

Argumentative Text Generation in Economic Domain

Irina Fishcheva, Dmitriy Osadchiy, Klavdiya Bochenina +1

The development of large and super-large language models, such as GPT-3, T5, Switch Transformer, ERNIE, etc., has significantly improved the performance of text generation. One of…

cs.CL2021★ 2 cited

Lexicon-based Methods vs. BERT for Text Sentiment Analysis

Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina +1

The performance of sentiment analysis methods has greatly increased in recent years. This is due to the use of various models based on the Transformer architecture, in particular B…

physics.soc-ph2020

Homophily based on few attributes can impede structural balance

Piotr J. Górski, Klavdiya Bochenina, Janusz A. Hołyst +1

Two complementary mechanisms are thought to shape social groups: homophily between agents and structural balance in connected triads. Here we consider fully connected agents, w…

cs.OH2018

A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification

Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner +5

Complex systems' modeling and simulation are powerful ways to investigate a multitude of natural phenomena providing extended knowledge on their structure and behavior. However, en…

cs.DL2017

Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory

Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina +3

This paper presents results of topic modeling and network models of topics using the International Conference on Computational Science corpus, which contains domain-specific (compu…