885 citations · 3.3k across the 27 of their papers we have counts for
3 papers · 1 filter
Frugal Machine Learning
Mikhail Evchenko, Joaquin Vanschoren, Holger H. Hoos +2
Machine learning, already at the core of increasingly many systems and applications, is set to become even more ubiquitous with the rapid rise of wearable devices and the Internet…
Automating Data Science: Prospects and Challenges
Tijl De Bie, Luc De Raedt, José Hernández-Orallo +3
Given the complexity of typical data science projects and the associated demand for human expertise, automation has the potential to transform the data science process. Key insight…
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…