Baranyi Máté
Baranyi Máté
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Interpretable Deep Learning for University Dropout Prediction
Máté Baranyi
,
Marcell Nagy
,
Roland Molontay
January 2020
Idézet
DOI
Típus
Conference paper
Publikáció
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"
Kapcsolódó anyagok
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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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