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researcher

Michael Kaufmann

3 papers hereh-index 318 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.DB1
same name
  • Michael Kaufmann — 6 papers
  • Michael Kaufmann — 1 paper, h 3
  • Michael Kaufmann — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedEfficient and Accurate In-Database Machine Learning with SQL Code Generation in Python

4 citations · 4 across the 1 of their papers we have counts for

collaborators
Showing cs.DBShow all

1 paper · 1 filter

cs.DB2021★ 4 cited

Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python

Michael Kaufmann, Gabriel Stechschulte, Anna Huber

Following an analysis of the advantages of SQL-based Machine Learning (ML) and a short literature survey of the field, we describe a novel method for In-Database Machine Learning (…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.