Prediction of the Incidence Rate of Lung Cancer Patients using Machine Learning. - Anel Abdugulova; Aizhan Altaibek; Dina Kulzhanova; Aigerim Altayeva (DTESI (workshops, short papers), 2023)

Comprehensive Study on Machine Learning Applications for Heart Disease Risk Prediction. - Lashyn Adiat; Aizhan Altaibek; Marat Nurtas; Aigerim Altayeva (DTESI (workshops, short papers), 2023)

Forecasting Vegetation Dynamics in Kazakhstan's Ecosystems Through Deep Learning. - Dauren Amangeldi; Marat Nurtas; Nurzhan Duzbayev; Aizhan Altaibek (DTESI (workshops, short papers), 2023)

Violence Recognition in Surveillance Videos with Dense Networks. - Askarbek Asubaev; Aizhan Altaibek; Marat Nurtas; Aigerim Altayeva (DTESI (workshops, short papers), 2023)

Data Pre-processing and Visualization for Machine Learning Models and its Applications in Education. - Konstantin Borodkin; Marat Nurtas; Aizhan Altaibek; Yevgeniya A. Daineko; Temirlan Otepov (DTESI (workshops, short papers), 2023)

Machine Learning in Finalizing Grades of Students' Performance in Distance Learning. - Marat Nurtas; Temirlan Otepov; Aizhan Altaibek; Kateryna Kolesnikova; Konstantin Borodkin (DTESI (workshops, short papers), 2023)

Speech recognition for Kazakh language: a research paper. - Galym Kapyshev; Marat Nurtas; Aizhan Altaibek (EUSPN/ICTH, 2023)

Earthquake time-series forecast in Kazakhstan territory: Forecasting accuracy with SARIMAX. - Marat Nurtas; Zhumabek Zhantaev; Aizhan Altaibek (EUSPN/ICTH, 2023)

The Efficacy of Autoencoders in the Utilization of Tabular Data for Classification Tasks. - Aizhan Altaibek; Il'murat Tokhtakhunov; Marat Nurtas; Dinara Kozhamzharova; Murat Aitimov (ANT/EDI40, 2024)

Modern methods of visualization and preprocessing of seismic data for deep learning: a review of python-based approaches. - Bekzat Bukhatov; Aizhan Altaibek; Marat Nurtas (DTESI, 2024)

Time series forecast of inbound call volume in call center using machine learning methods. - Ruslan Krasnozhonov; Aizhan Altaibek; Aizhan Ydydrys; Marat Nurtas (DTESI, 2024)

Enhancing Breast Cancer Detection with Dimensionality Reduction Techniques: A Study Using PCA and LDA on Wisconsin Breast Cancer Data. - Gani Esen; Aizhan Altaibek; Jandos Amankulov; Bazargul Matkerim; Marat Nurtas (EUSPN/ICTH, 2024)

Development of a Long Short-Term Memory (LSTM)-Based Statistical Model for Earthquake Forecasting in Central Asia. - Marat Nurtas; Aizhan Altaibek; Aizhan Ydyrys; Andrey Vilayev; Takhmina Nessipbay (IEEE Access, 2025)