21 citations · 21 across the 3 of their papers we have counts for
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cs.LG2021
Aggregation as Unsupervised Learning and its Evaluation
Maria Ulan, Welf Löwe, Morgan Ericsson +1
Regression uses supervised machine learning to find a model that combines several independent variables to predict a dependent variable based on ground truth (labeled) data, i.e.,…
cs.SE2021
To Automatically Map Source Code Entities to Architectural Modules with Naive Bayes
Tobias Olsson, Morgan Ericsson, Anna Wingkvist
Background: The process of mapping a source code entity onto an architectural module is to a large degree a manual task. Automating this process could increase the use of static ar…