Interpretable Dropout Prediction
Interpretable Dropout Prediction is a predictive modeling approach within educational data mining that enables the identification of students at risk of dropping out while providing transparent, human-understandable explanations of the model’s decision-making process.
22
Publications
4.1K
Citations
53
Authors
29
Institutions
Publications per year
2017–2026
11
Parents
22
1–5 of 22
53
2
h-index
Budapest University of Technology and Economics, Hungary
2 publications · 171 citations
2
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2
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2
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United States Department of Veterans Affairs, United States
1 publications · 22 citations
1
h-index
1–5 of 53
29

Budapest University of Technology and Economics
Budapest, Hungary
2 h-index
4 publications
342 citations

Colorado Mesa University
Grand Junction, United States
1 h-index
2 publications
126 citations
Montavid Thermodynamic Research Group
Budapest, Hungary
1 h-index
1 publications
67 citations
King's College London
London, United Kingdom
1 h-index
1 publications
641 citations
Pontifícia Universidade Católica do Paraná
Curitiba, Brazil
1 h-index
3 publications
201 citations
Simon Fraser University
Burnaby, Canada
1 h-index
1 publications
63 citations
Texas Tech University
Lubbock, United States
1 h-index
1 publications
253 citations

Peninsula College of Medicine and Dentistry
Plymouth, United Kingdom
1 h-index
1 publications
641 citations
1–8 of 29
JHE · 2 publications · 1.6K citations
2
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1 publications · 55 citations
1
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1 publications · 66 citations
1
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1 publications · 772 citations
1
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1 publications · 22 citations
1
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1–5