Author

S. Serikbayeva

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Open access Oct 2026

A multilingual heterogeneous knowledge graph framework for curriculum–vacancy–MOOC alignment: edge-weight regression with heterogeneous graph transformers for educational recommendation

Digitalisation and artificial intelligence have widened the gap between competencies certified by university curricula and skills demanded by employers. MOOCs could close this gap, but existing recommenders rarely connect what a programme teaches, what the market requires, and what online courses develop within a s...

S. Serikbayeva, M. Sambetbayeva, V. Ramazanova et al. · Frontiers in Artificial Inte... · 0 citations

Open access Aug 2026

Stage-Oriented Text Classification for Russian-Language Clinical and Genetic Documents: Pre-Genetic Triage and Post-Genetic Report Interpretation

The growing volume of unstructured clinical and genetic text calls for automated processing methods that can meaningfully support clinical decision-making. Most existing work, however, treats the analysis of patient clinical descriptions and the interpretation of genetic reports as unrelated tasks, disregarding the seq...

A. Shayakhmetova, M. Sambetbayeva, V. Barakhnin et al. · Information · 0 citations

Open access Sep 2026

Fine-tuning multilingual sentence transformers for low-resource skill-concept matching across Kazakh, Russian, and English

Introduction Matching short, specialized skill expressions across English, Russian, and Kazakh is challenging because general-domain multilingual encoders underperform on terse, code-mixed, domain-specific phrases, particularly in the low-resource Kazakh setting. Methods We fine-tuned a multilingual Sentence Transforme...

S. Serikbayeva, M. Sambetbayeva, V. Ramazanova et al. · Frontiers in Big Data · 0 citations