DORIAN in action: Assisted Design of Data Science Pipelines

Summary: Human-in-the-loop DS pipeline designer with wide task/operator coverage and user-defined evaluation. Given dataset and task, returns pipelines; enables modify/execute/evaluate; reuses past pipelines via similarity search; learns from feedback; no-code. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12871
Venue: VLDB
Year: 2022
Pagerank: 4.5629474e-05
Overall Rank: 8,178 | 43.17%
DOI: 10.14778/3554821.3554882

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,234	Modyn: Data-Centric Machine Learning Pipeline Orchestration	2025	SIGMOD	4.3648789e-05
10,252	CAPS: Cost-Aware ML Pipeline Selection	2026	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
917	Democratizing Data Science through Interactive Curation of ML Pipelines	2019	SIGMOD	0.00015324193

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