140 citations · 226 across the 4 of their papers we have counts for
4 papers
On Misbehaviour and Fault Tolerance in Machine Learning Systems
Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö +2
Machine learning (ML) provides us with numerous opportunities, allowing ML systems to adapt to new situations and contexts. At the same time, this adaptability raises uncertainties…
Systematic Literature Review of Validation Methods for AI Systems
Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö +2
Context: Artificial intelligence (AI) has made its way into everyday activities, particularly through new techniques such as machine learning (ML). These techniques are implementab…
MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases
Tuomas Granlund, Aleksi Kopponen, Vlad Stirbu +2
The emerging age of connected, digital world means that there are tons of data, distributed to various organizations and their databases. Since this data can be confidential in nat…
Improved management of issue dependencies in issue trackers of large collaborative projects
Mikko Raatikainen, Quim Motger, Clara Marie Lüders +7
Issue trackers, such as Jira, have become the prevalent collaborative tools in software engineering for managing issues, such as requirements, development tasks, and software bugs.…