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Conference Aug 2026

An Explainable Feature-Engineered Stacking Ensemble Framework for Student Outcome Prediction Using Learning Analytics

Making accurate predictions about student academic outcomes is critical to ensure that interventions can be made in time to enhance student learning in the contemporary learning environment. But, a lot of the current prediction models focus mainly on prediction accuracy without offering much interpretability and that m...

P. S. S. Chakravarthy, M. Azhar, Racharla Siva Narayana et al. · 0 citations
Open access Oct 2026

CNN-BiLSTM based model for heart disease classification using deep learning techniques

Heart disease remains a main cause of death worldwide, showing the necessity for accurate and timely automated diagnostic systems. Hence, precise and early detection is necessary and is done by some existing machine learning (ML) and deep learning (DL) algorithms. Existing ML and DL models, like convolutional neural ne...

M. Azhar, L. Gladence · 0 citations

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