5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.SE2025★ 1 cited
FlowETL: An Autonomous Example-Driven Pipeline for Data Engineering
Mattia Di Profio, Mingjun Zhong, Yaji Sripada +1
The Extract, Transform, Load (ETL) workflow is fundamental for populating and maintaining data warehouses and other data stores accessed by analysts for downstream tasks. A major s…
cs.LG2024★ 5 cited
A Survey of Pipeline Tools for Data Engineering
Anthony Mbata, Yaji Sripada, Mingjun Zhong
Currently, a variety of pipeline tools are available for use in data engineering. Data scientists can use these tools to resolve data wrangling issues associated with data and acco…
cs.NE2019★ 1 cited
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation
Shouyong Jiang, Hongru Li, Jinglei Guo +4
Population-based evolutionary algorithms have great potential to handle multiobjective optimisation problems. However, these algorithms depends largely on problem characteristics,…