Kevin Riehl
Kevin Riehl
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Evaluation
2. Computer Science, Statistics & Machine Learning
How can we better evaluate ML algorithms? How can we achieve self- and semi-supervised learning?
Sun, 18 Aug 2024
On the scientometric value of full-text, beyond abstracts and titles: evidence from the business and economic literature
Are abstracts or titles a good proxy for what an article contains? The majority of scientometric studies have used easily accessible …
Kevin Riehl
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DOI
Hierarchical confusion matrix for classification performance evaluation
This study proposes the novel concept of hierarchical confusion matrix, opening the door for popular confusion-matrix-based (flat) …
Kevin Riehl
,
Michael Neunteufel
,
Martin Hemberg
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DOI
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