Work

A Privacy‐Preserving and Explainable Deep Learning Framework for Imbalanced Student Performance Prediction Using CTGAN ‐Based Data Augmentation

Year: 2026

Type: article

Source: Concurrency and Computation Practice and Experience

Authors: Samira Tajdar, Hakimeh Dustmohammadloo, Rauf Rakhmonov, Zokir Mamadiyarov, Dilbar Urazbaeva, Lochin Tursunov, Abror Khamraev, Husen Safoyev, Tangirov Eldor

Institutions: Islamic Azad University, Tehran, Islamic Azad University, Science and Research Branch, Multimedia University, Bukhara State University, Alfraganus University, Termez University of Economics and Service, Mamun University, Samarkand State Institute of Foreign Languages, Tashkent State Medical University, Buxoro davlat pedagogika instituti

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Reduced inequalities

Open Access status: closed

OpenAlex ID: W7170176280

FWCI:

Cites: 29

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