Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …

While machine learning (ML) has made significant contributions to the biopharmaceutical
field, its applications are still in the early stages in terms of providing direct support for quality …

Automated machine learning (AutoML) is a young research area aiming at making high-
performance machine learning techniques accessible to a broad set of users. This is …

Feature transformation aims to reconstruct an effective representation space by
mathematically refining the existing features. It serves as a pivotal approach to combat the …

Automated machine learning (AutoML) aims to find optimal machine learning solutions
automatically given a problem description, its task type, and datasets. It could release the …

In-vivo estimation of mechanical properties of the myocardium is essential for patient-
specific diagnosis and prognosis of cardiac disease involving myocardial remodeling …