5 citations · 6 across the 4 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
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…