Titlebook: Distributed Applications and Interoperable Systems; 20th IFIP WG 6.1 Int Anne Remke,Valerio Schiavoni Conference proceedings 2020 IFIP Inte

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DroidAutoML: A Microservice Architecture to Automate the Evaluation of Android Machine Learning Deteost often go through an empirical study with a manual process to choose the learning strategy, and/or use default values as parameters to configure ML algorithms. However, in the ML domain, it is well known admitted that to solve efficiently a ML problem, the tunability of hyper-parameters is of the

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