Ravil Mussabayev

According to our database, Ravil Mussabayev authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Finetuning Large Language Models for Vulnerability Detection.

Aleksei Shestov, Rodion Levichev, Ravil Mussabayev, Evgeny Maslov, Pavel Zadorozhny, Anton Cheshkov, Rustam Mussabayev, Alymzhan Toleu, Gulmira Tolegen, Alexander Krassovitskiy

IEEE Access, 2025

Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization.

Ravil Mussabayev, Rustam Mussabayev

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2025

2024

WRDScore: New Metric for Evaluation of Natural Language Generation Models.

Ravil Mussabayev

CoRR, 2024

Finetuning Large Language Models for Vulnerability Detection.

Alexey Shestov, Anton Cheshkov, Rodion Levichev, Ravil Mussabayev, Pavel Zadorozhny, Evgeny Maslov, Chibirev Vadim, Egor Bulychev

CoRR, 2024

Superior Parallel Big Data Clustering Through Competitive Stochastic Sample Size Optimization in Big-Means.

Rustam Mussabayev, Ravil Mussabayev

Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023

How to Use K-means for Big Data Clustering?

Rustam Mussabayev, Nenad Mladenovic, Bassem Jarboui, Ravil Mussabayev

Pattern Recognit., May, 2023

Strategies for Parallelizing the Big-Means Algorithm: A Comprehensive Tutorial for Effective Big Data Clustering.

Ravil Mussabayev, Rustam Mussabayev

CoRR, 2023

Optimizing K-means for Big Data: A Comparative Study.

Ravil Mussabayev, Rustam Mussabayev

CoRR, 2023

Dissecting Code Vulnerabilities: Insights from C++ and Java Vulnerability Analysis with ReVeal Model.

Ravil Mussabayev

CoRR, 2023

2022

Big-means: Less is More for K-means Clustering.

Rustam Mussabayev, Nenad Mladenovic, Bassem Jarboui, Ravil Mussabayev

CoRR, 2022