Learned Bloom Filters, i.e., models induced from data via machine learni...
Bloom Filters are a fundamental and pervasive data structure. Within the...
The state-of-the-art performance for several real-world problems is curr...
Recent advances in deep learning have made available large, powerful
con...
Multitask algorithms typically use task similarity information as a bias...
Public repositories for genome and proteome annotations, such as the Gen...
Motivation: Computational methods play a central role in annotating the
...
Automated protein function prediction is a challenging problem with
dist...