102 citations · 131 across the 7 of their papers we have counts for
7 papers
Using generative AI to support standardization work -- the case of 3GPP
Miroslaw Staron, Jonathan Strom, Albin Karlsson +1
Standardization processes build upon consensus between partners, which depends on their ability to identify points of disagreement and resolving them. Large standardization organiz…
Trusting Machine Learning Results from Medical Procedures in the Operating Room
Ali El-Merhi, Helena Odenstedt Hergés, Linda Block +4
Machine learning can be used to analyse physiological data for several purposes. Detection of cerebral ischemia is an achievement that would have high impact on patient care. We at…
Towards Trustworthy Cross-patient Model Development
Ali El-Merhi, Helena Odenstedt Hergés, Linda Block +4
Machine learning is used in medicine to support physicians in examination, diagnosis, and predicting outcomes. One of the most dynamic area is the usage of patient generated health…
Robust Machine Learning in Critical Care -- Software Engineering and Medical Perspectives
Miroslaw Staron, Helena Odenstedt Hergés, Silvana Naredi +4
Using machine learning in clinical practice poses hard requirements on explainability, reliability, replicability and robustness of these systems. Therefore, developing reliable so…
Empirical Standards for Software Engineering Research
Paul Ralph, Nauman bin Ali, Sebastian Baltes +39
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e.g. a questionnaire survey). The ACM SIGSOFT Paper and Peer…
PHANTOM: Curating GitHub for engineered software projects using time-series clustering
Peter Pickerill, Heiko Joshua Jungen, Miroslaw Ochodek +1
Context: Within the field of Mining Software Repositories, there are numerous methods employed to filter datasets in order to avoid analysing low-quality projects. Unfortunately, t…