6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2023
A Suite of Fairness Datasets for Tabular Classification
Martin Hirzel, Michael Feffer
There have been many papers with algorithms for improving fairness of machine-learning classifiers for tabular data. Unfortunately, most use only very few datasets for their experi…
cs.DB2023★ 6 cited
Out-of-Order Sliding-Window Aggregation with Efficient Bulk Evictions and Insertions (Extended Version)
Kanat Tangwongsan, Martin Hirzel, Scott Schneider
Sliding-window aggregation is a foundational stream processing primitive that efficiently summarizes recent data. The state-of-the-art algorithms for sliding-window aggregation are…
cs.SE2023★ 3 cited
AI for Low-Code for AI
Nikitha Rao, Jason Tsay, Kiran Kate +2
Low-code programming allows citizen developers to create programs with minimal coding effort, typically via visual (e.g. drag-and-drop) interfaces. In parallel, recent AI-powered t…