The ability to replicate results is a key characteristic of quality science, and is growing ever more important in light of the replication crisis [1, 2].
A study can rarely be repeated using only the minimalistic descriptions provided in the "Materials and methods" section in a paper.
It is therefore important to properly document the entire knowledge generation...
The increasing availability of data from the first three paradigms of science (experiments, theory, and simulations), along with advances in artificial intelligence and machine learning (AI/ML) techniques has offered unprecedented opportunities for data-driven science and discovery, which is the fourth paradigm of science. Within the arena of AI/ML, deep learning (DL) has emerged as a...
