Introduction People with intellectual disability face significant barriers to accessing genetic healthcare, including during ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Abstract: In wastewater treatment processes (WWTPs), data and knowledge are employed to build an effective model for monitoring its operation. Unfortunately, they are difficult to be fused due to ...

Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...

Enumerative search over a bounded DSL: it shines at small, composable transformations over numbers, strings, arrays and JSON. It is not general-purpose code generation.

ABSTRACT: In the evolving landscape of artificial intelligence and machine learning, the choice of optimization algorithm can significantly impact the success of model training and the accuracy of ...