Identifying students at academic risk early calls for forecasting that respects the temporal structure of educational data and stays readable for advising staff. In this work, linear, gradient-boosted, and deep tabular models are compared under one protocol on two tasks: next-semester performance prediction and binary...
Tole Bi Yermek, B. Yergesh, Amanzhol Yelemessov et al.· Artificial Intelligence and...· 0 citations
Emotion-conditioned text-to-speech (TTS) is attractive for low-resource narrative, educational, and accessibility applications, but acoustic rendering for expressivity may also reduce content preservation. This paper presents an objective diagnostic study of Kazakh TTS using translated-CARER planning labels and automat...
Mamyr Altaibek, A. Zulkhazhav, A. Omarbekova et al.· 2026 14th International Conf...· 0 citations
The experimental results demonstrated that the proposed stacking model achieves strong predictive performance, with an accuracy of 95.82% and an Area Under the ROC Curve (AUC) close to 1.0 on the primary dataset, while maintaining strong generalization across external datasets.
Tole Bi Yermek, Amanzhol Yelemessov, B. Yergesh et al.· Engineering, Technology &...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.