Kevin Riehl
Kevin Riehl
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Machine Learning
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
Corporate Bond Market Event Studies: Event-Induced Variance and Liquidity
This paper addresses the power of event studies in corporate bond markets. While an approach using standardized abnormal returns is …
Lukas Müller
,
Kevin Riehl
,
Sonja Buschulte
,
Patrick Weiss
Code
Source Document
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
Code
Source Document
DOI
TransposonUltimate: software for transposon classification, annotation and detection
Most genomes harbor a large number of transposons, and they play an important role in evolution and gene regulation. They are also of …
Kevin Riehl
,
Cristian Riccio
,
Eric a Miska
,
Martin Hemberg
Code
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Source Document
DOI
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