Big-means: Less is More for K-means Clustering. - Rustam Mussabayev; Nenad Mladenovic; Bassem Jarboui; Ravil Mussabayev (CoRR, 2022)

Dissecting Code Vulnerabilities: Insights from C++ and Java Vulnerability Analysis with ReVeal Model. - Ravil Mussabayev (CoRR, 2023)

Optimizing K-means for Big Data: A Comparative Study. - Ravil Mussabayev; Rustam Mussabayev (CoRR, 2023)

Strategies for Parallelizing the Big-Means Algorithm: A Comprehensive Tutorial for Effective Big Data Clustering. - Ravil Mussabayev; Rustam Mussabayev (CoRR, 2023)

How to Use K-means for Big Data Clustering? - Rustam Mussabayev; Nenad Mladenovic; Bassem Jarboui; Ravil Mussabayev (Pattern Recognit., 2023)

Superior Parallel Big Data Clustering Through Competitive Stochastic Sample Size Optimization in Big-Means. - Rustam Mussabayev; Ravil Mussabayev (ACIIDS (2), 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)

WRDScore: New Metric for Evaluation of Natural Language Generation Models. - Ravil Mussabayev (CoRR, 2024)

Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization. - Ravil Mussabayev; Rustam Mussabayev (CoRR, 2024)

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)