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Towards a change taxonomy for machine learning pipelines · Peerford

Article · Journal · 2023

Towards a change taxonomy for machine learning pipelines

Aaditya Bhatia, Ellis E. Eghan, Manel Grichi, William G. Cavanagh, Zhen Ming Jiang, Bram Adams

Empirical Software Engineering

Closed access
World top 10%
International · 2 countries

Go to the publisher 10.1007/s10664-022-10282-8

Citations: 12from other works
Field-weighted impact: 5.041.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 6from 5 institutions

Authors

6 authors across 5 institutions in 2 countries

Aaditya BhatiaFirst authorCorresponding
Ellis E. Eghan
- University of Cape Coast (GH)
Manel Grichi
William G. Cavanagh
Zhen Ming Jiang
Bram AdamsSenior author

Development goals

9Industry, innovation and infrastructure

Funded by

Natural Sciences and Engineering Research Council of Canada

Countries on it

Canada
Ghana

Also on it

Concordia Universityeducation · CA
Polytechnique Montréaleducation · CA
Queen's Universityeducation · CA
York Universityeducation · CA

Fields

A work can sit in several, each with a score

Software Engineering ResearchTopic
Scientific Computing and Data ManagementTopic
Advanced Data Storage TechnologiesTopic