2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.DB2023★ 2 cited
REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines
Mohamed Abdelaal, Christian Hammacher, Harald Schoening
Nowadays, machine learning (ML) plays a vital role in many aspects of our daily life. In essence, building well-performing ML applications requires the provision of high-quality da…
cs.DB2022
DiffML: End-to-end Differentiable ML Pipelines
Benjamin Hilprecht, Christian Hammacher, Eduardo Reis +2
In this paper, we present our vision of differentiable ML pipelines called DiffML to automate the construction of ML pipelines in an end-to-end fashion. The idea is that DiffML all…