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Parallelizing Machine Learning as a Service for the End-User

Parallelizing Machine Learning as a Service for the End-User

28 May 2020
Daniela Loreti
Marco Lippi
Paolo Torroni
    FedML
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Papers citing "Parallelizing Machine Learning as a Service for the End-User"

2 / 2 papers shown
Title
Modelling of Received Signals in Molecular Communication Systems based
  machine learning: Comparison of azure machine learning and Python tools
Modelling of Received Signals in Molecular Communication Systems based machine learning: Comparison of azure machine learning and Python tools
Soha Mohamed
M. S. Fayed
26
1
0
19 Dec 2021
Process discovery on deviant traces and other stranger things
Process discovery on deviant traces and other stranger things
F. Chesani
Chiara Di Francescomarino
Chiara Ghidini
Daniela Loreti
F. Maggi
P. Mello
Marco Montali
Sergio Tessaris
AI4TS
27
3
0
30 Sep 2021
1