Máté Baranyi
Máté Baranyi
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Interpretable Deep Learning for University Dropout Prediction
Máté Baranyi
,
Marcell Nagy
,
Roland Molontay
January 2020
Cite
DOI
Type
Conference paper
Publication
Proceedings of the 21st Annual Conference on Information Technology Education
"interpretability"
"deep learning"
"dropout"
"educational data science"
"higher education"
"performance prediction"
"pre-enrollment achievement measures"
Related
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Effect of Mathematics Remediation on Academic Achievement – A Regression Discontinuity Approach
Block circulant matrices and the spectra of multivariate stationary sequences
Graphical Models, Regression Graphs, and Recursive Linear Regression in a Unified Way
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