Energy-Based Centroid Identification and Cluster Propagation with Noise Detection. - Alexander Krassovitskiy; Rustam Mussabayev (ICCCI (1), 2018)

Neural Named Entity Recognition for Kazakh. - Gulmira Tolegen; Alymzhan Toleu; Orken Mamyrbayev; Rustam Mussabayev (CICLing (2), 2019)

Using Centroid Keywords and Word Mover's Distance for Single Document Extractive Summarization. - Dauken Seitkali; Rustam Mussabayev (NLPIR, 2019)

KeyVector: Unsupervised Keyphrase Extraction Using Weighted Topic via Semantic Related. - Alymzhan Toleu; Gulmira Tolegen; Rustam Mussabayev (Computación y Sistemas, 2019)

Deep Learning for Multilingual POS Tagging. - Alymzhan Toleu; Gulmira Tolegen; Rustam Mussabayev (ICCCI (CCIS Volume), 2020)

Voted-Perceptron Approach for Kazakh Morphological Disambiguation. - Gulmira Tolegen; Alymzhan Toleu; Rustam Mussabayev (SLTU-CCURL@LREC, 2020)

An Open-Source Lemmatizer for Russian Language based on Tree Regression Models. - Iskander Akhmetov; Alexander Krassovitskiy; Irina Ualiyeva; Alexander F. Gelbukh; Rustam Mussabayev (Res. Comput. Sci., 2020)

Classification of Negative Information on Socially Significant Topics in Mass Media. - Ravil I. Muhamedyev; Kirill Yakunin; Rustam Mussabayev; Timur Buldybayev; Yan I. Kuchin; Sanzhar Murzakhmetov; Marina Yelis (Symmetry, 2020)

Using K-Means and Variable Neighborhood Search for Automatic Summarization of Scientific Articles. - Iskander Akhmetov; Nenad Mladenovic; Rustam Mussabayev (ICVNS, 2021)

Plagiarism Detection in Students' Answers Using FP-Growth Algorithm. - Sabina Nurlybayeva; Iskander Akhmetov; Alexander F. Gelbukh; Rustam Mussabayev (MICAI (2), 2021)

Greedy Optimization Method for Extractive Summarization of Scientific Articles. - Iskander Akhmetov; Alexander F. Gelbukh; Rustam Mussabayev (IEEE Access, 2021)

KazNewsDataset: Single Country Overall Digital Mass Media Publication Corpus. - Kirill Yakunin; Maksat Kalimoldayev; Ravil I. Mukhamediev; Rustam Mussabayev; Vladimir B. Barakhnin; Yan I. Kuchin; Sanzhar Murzakhmetov; Timur Buldybayev; Ulzhan Ospanova; Marina Yelis; Akylbek Zhumabayev; Viktors I. Gopejenko; et al. (Data, 2021)

A New Sentence-Based Interpretative Topic Modeling and Automatic Topic Labeling. - Olzhas Kozbagarov; Rustam Mussabayev; Nenad Mladenovic (Symmetry, 2021)

Language-Independent Approach for Morphological Disambiguation. - Alymzhan Toleu; Gulmira Tolegen; Rustam Mussabayev (COLING, 2022)

Greedy Texts Similarity Mapping. - Aliya Jangabylova; Alexander Krassovitskiy; Rustam Mussabayev; Irina Ualiyeva (Comput., 2022)

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

Topic-Aware Sentiment Analysis of News Articles. - Iskander Akhmetov; Alexander F. Gelbukh; Rustam Mussabayev (Computación y Sistemas, 2022)

Reaching for upper bound ROUGE score of extractive summarization methods. - Iskander Akhmetov; Rustam Mussabayev; Alexander F. Gelbukh (PeerJ Comput. Sci., 2022)

Data-Driven Approach for Spellchecking and Autocorrection. - Alymzhan Toleu; Gulmira Tolegen; Rustam Mussabayev; Alexander Krassovitskiy; Irina Ualiyeva (Symmetry, 2022)

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)

Literature review on aftershock and earthquake prediction models aided by NLP summarization and ontology extraction techniques. - Daulet Baktibayev; Beibarys Baigozha; Iskander Akhmetov; Rustam Mussabayev; Alexander Krassovitskiy; Alymzhan Toleu (ANT/EDI40, 2024)

Interpretable Dense Embedding for Large-Scale Textual Data via Fast Fuzzy Clustering. - Olzhas Kozbagarov; Rustam Mussabayev; Alexander Krassovitskiy; Nursultan Kuldeyev (ICCCI (CCIS Volume 1), 2024)

Enhancing Low-Resource NER via Knowledge Transfer from LLM. - Gulmira Tolegen; Alymzhan Toleu; Rustam Mussabayev (ICCCI (1), 2024)

Topic Modeling with Variable Neighborhood Search. - Alymzhan Toleu; Gulmira Tolegen; Rustam Mussabayev (ICCCI (CCIS Volume 2), 2024)

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

Distributed random swap: An efficient algorithm for minimum sum-of-squares clustering. - Olzhas Kozbagarov; Rustam Mussabayev (Inf. Sci., 2024)

Automatic Creation of Multilingual Knowledge Graph with Large Language Models. - Gulmira Tolegen; Alymzhan Toleu; Rustam Mussabayev; Alexander Krassovitskiy; Nurbakyt Zhuldyzbayuly (ACIIDS (1), 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)

Dynamic optimization of min-df in the GreedSum algorithm for enhanced extractive summarization. - Shakarim Aubakirov; Iskander Akhmetov; Alexander F. Gelbukh; Rustam Mussabayev (Artif. Intell. Rev., 2025)