output
20032026
most citedOntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning

40 citations

27 papers

cs.CR2026

Vulnerability Detection in AArch64 Machine Code Using a Digital Twin

Oleksandr Mostovyi, Denys Symonov

This paper proposes an explainable digital twin for vulnerability detection in AArch64 machine code without access to source code. The digital twin reproduces the concrete executio…

cs.CR2026

Control Flow Graph Recovery for Dynamically Loaded Code via Symbolic Library Resolution

Oleksandr Mostovyi

Control Flow Graphs are one of the main data sources for software analysis that use dynamic and static software analysis methods. Protected software and modern malware increasingly…

cs.LG2024★ 1 cited

Robust Clustering on High-Dimensional Data with Stochastic Quantization

Anton Kozyriev, Vladimir Norkin

This paper addresses the limitations of conventional vector quantization algorithms, particularly K-Means and its variant K-Means++, and investigates the Stochastic Quantization (S…

math.ST2024★ 1 cited

Constrained recursive kernel density/regression estimation by stochastic quasi-gradient methods

Vladimir Norkin, Vladimir Kirilyuk

The paper considers nonparametric kernel density/regression estimation from a stochastic optimization point of view. The estimation problem is represented through a family of stoch…

math.OC2023

On Shor's r-Algorithm for Problems with Constraints

Vladimir Norkin, Anton Kozyriev

Shor's r-algorithm (Shor, Zhurbenko (1971), Shor (1979)) with space stretching in the direction of difference of two adjacent subgradients is a competitive method of nonsmooth opti…

cs.DL2023★ 19 cited

Ontology-Driven Processing of Transdisciplinary Domain Knowledge

Oleksandr Palagin, Mykola Petrenko, Sergii Kryvyi +2

The monograph discusses certain aspects of modern real-world problems facing humanity, which are much more challenging than scientific ones. Modern science is unable to solve them…