97 citations · 110 across the 7 of their papers we have counts for
4 papers · 1 filter
Practices for Engineering Trustworthy Machine Learning Applications
Alex Serban, Koen van der Blom, Holger Hoos +1
Following the recent surge in adoption of machine learning (ML), the negative impact that improper use of ML can have on users and society is now also widely recognised. To address…
GraphRepo: Fast Exploration in Software Repository Mining
Alex Serban, Magiel Bruntink, Joost Visser
Mining and storage of data from software repositories is typically done on a per-project basis, where each project uses a unique combination of data schema, extraction tools, and (…
Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty
Alex Serban, Erik Poll, Joost Visser
The adoption of machine learning (ML) components in software systems raises new engineering challenges. In particular, the inherent uncertainty regarding functional suitability and…
Adoption and Effects of Software Engineering Best Practices in Machine Learning
Alex Serban, Koen van der Blom, Holger Hoos +1
The increasing reliance on applications with machine learning (ML) components calls for mature engineering techniques that ensure these are built in a robust and future-proof manne…