5 citations · 5 across the 4 of their papers we have counts for
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cs.SE2021
Toward Formal Data Set Verification for Building Effective Machine Learning Models
Jorge López, Maxime Labonne, Claude Poletti
In order to properly train a machine learning model, data must be properly collected. To guarantee a proper data collection, verifying that the collected data set holds certain pro…
cs.NI2021
Dynamic Link Network Emulation: a Model-based Design
Erick Petersen, Jorge López, Natalia Kushik +2
This paper presents the design and architecture of a network emulator whose links' parameters (such as delay and bandwidth) vary at different time instances. The emulator can thus…