Previous approaches to learned cardinality estimation have focused on
im...
Class distribution skews in imbalanced datasets may lead to models with
...
Access to high-quality data repositories and benchmarks have been
instru...
Code similarity systems are integral to a range of applications from cod...
Query optimization remains one of the most challenging problems in data
...
Next-generation sequencing (NGS) technologies have enabled affordable
se...
Query optimization is one of the most challenging problems in database
s...
In this position paper, we describe our vision of the future of machine
...
In this position paper, we describe our vision of the future of machine-...
Classical anomaly detection (AD) is principally concerned with point-bas...
Classical anomaly detection is principally concerned with point-based
an...
This short paper describes our ongoing research on Greenhouse - a
zero-p...