2 citations · 4 across the 3 of their papers we have counts for
3 papers
RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs
Daniel Del Gaudio, Tim Schubert, Mohamed Abdelaal
Nowadays, machine learning plays a key role in developing plenty of applications, e.g., smart homes, smart medical assistance, and autonomous driving. A major challenge of these ap…
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…
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…