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Designing Machine Learning Toolboxes: Concepts, Principles and Patterns

Designing Machine Learning Toolboxes: Concepts, Principles and Patterns

13 January 2021
Franz J. Király
M. Löning
Anthony D. Blaom
Ahmed Guecioueur
R. Sonabend
ArXiv (abs)PDFHTML

Papers citing "Designing Machine Learning Toolboxes: Concepts, Principles and Patterns"

4 / 4 papers shown
Title
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia
  programming language
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
David Muhr
M. Affenzeller
Anthony D. Blaom
57
3
0
08 Nov 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
34
2
0
29 Mar 2022
Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Huaming Chen
Muhammad Ali Babar
AAML
97
22
0
12 Jan 2022
distr6: R6 Object-Oriented Probability Distributions Interface in R
distr6: R6 Object-Oriented Probability Distributions Interface in R
R. Sonabend
Franz J. Király
GP
14
1
0
07 Sep 2020
1