most citedFormal concept analysis for evaluating intrinsic dimension of a natural language

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Spot the bot: Coarse-Grained Partition of Semantic Paths for Bots and Humans

Vasilii A. Gromov, Alexandra S. Kogan

Nowadays, technology is rapidly advancing: bots are writing comments, articles, and reviews. Due to this fact, it is crucial to know if the text was written by a human or by a bot.…

cs.CL20232 cited

Spot the Bot: Distinguishing Human-Written and Bot-Generated Texts Using Clustering and Information Theory Techniques

Vasilii Gromov, Quynh Nhu Dang

With the development of generative models like GPT-3, it is increasingly more challenging to differentiate generated texts from human-written ones. There is a large number of studi…

cs.CL20233 cited

Formal concept analysis for evaluating intrinsic dimension of a natural language

Sergei O. Kuznetsov, Vasilii A. Gromov, Nikita S. Borodin +1

Some results of a computational experiment for determining the intrinsic dimension of linguistic varieties for the Bengali and Russian languages are presented. At the same time, bo…

cs.NE2023

Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems

Majid Sohrabi, Amir M. Fathollahi-Fard, Vasilii A. Gromov

Genetic Algorithms (GAs) are known for their efficiency in solving combinatorial optimization problems, thanks to their ability to explore diverse solution spaces, handle various r…

physics.med-ph2023

Date-Driven Approach for Identifying State of Hemodialysis Fistulas: Entropy-Complexity and Formal Concept Analysis

Vasilii A. Gromov, E. I. Zvorykina, Yurii N. Beschastnov +1

The paper explores mathematical methods that differentiate regular and chaotic time series, specifically for identifying pathological fistulas. It proposes a noise-resistant method…