5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.SE2024
MLOps: A Multiple Case Study in Industry 4.0
Leonhard Faubel, Klaus Schmid
As Machine Learning (ML) becomes more prevalent in Industry 4.0, there is a growing need to understand how systematic approaches to bringing ML into production can be practically i…
cs.SE2024★ 1 cited
On the Challenges of Transforming UVL to IVML
Prankur Agarwal, Kevin Feichtinger, Klaus Schmid +2
Software product line techniques encourage the reuse and adaptation of software components for creating customized products or software systems. These different product variants ha…
cs.SE2023★ 5 cited
Towards an MLOps Architecture for XAI in Industrial Applications
Leonhard Faubel, Thomas Woudsma, Leila Methnani +8
Machine learning (ML) has become a popular tool in the industrial sector as it helps to improve operations, increase efficiency, and reduce costs. However, deploying and managing M…