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Achieving Guidance in Applied Machine Learning through Software
  Engineering Techniques

Achieving Guidance in Applied Machine Learning through Software Engineering Techniques

29 March 2022
Lars Reimann
Günter Kniesel-Wünsche
ArXiv (abs)PDFHTML

Papers citing "Achieving Guidance in Applied Machine Learning through Software Engineering Techniques"

5 / 5 papers shown
Title
Safe-DS: A Domain Specific Language to Make Data Science Safe
Safe-DS: A Domain Specific Language to Make Data Science Safe
Lars Reimann
Günter Kniesel-Wünsche
23
4
0
28 Feb 2023
Requirements Engineering for Machine Learning: A Review and Reflection
Requirements Engineering for Machine Learning: A Review and Reflection
Zhong Pei
Lin Liu
Chen Wang
Jianmin Wang
VLM
78
24
0
03 Oct 2022
Improving the Learnability of Machine Learning APIs by Semi-Automated
  API Wrapping
Improving the Learnability of Machine Learning APIs by Semi-Automated API Wrapping
Lars Reimann
Günter Kniesel-Wünsche
32
2
0
29 Mar 2022
Machine Learning Model Development from a Software Engineering
  Perspective: A Systematic Literature Review
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review
Giuliano Lorenzoni
Paulo S. C. Alencar
Nathalia Nascimento
Donald D. Cowan
62
18
0
15 Feb 2021
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
90
133
0
14 Dec 2020
1