6 citations · 6 across the 2 of their papers we have counts for
2 papers
stat.CO2023★ 6 cited
Improving Software Engineering in Biostatistics: Challenges and Opportunities
Daniel Sabanés Bové, Heidi Seibold, Anne-Laure Boulesteix +9
Programming is ubiquitous in applied biostatistics; adopting software engineering skills will help biostatisticians do a better job. To explain this, we start by highlighting key c…
cs.MS2021
mlf-core: a framework for deterministic machine learning
Lukas Heumos, Philipp Ehmele, Luis Kuhn Cuellar +5
Machine learning has shown extensive growth in recent years and is now routinely applied to sensitive areas. To allow appropriate verification of predictive models before deploymen…