no code implementations • 19 Jan 2024 • Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi
Data Augmentation (DA) -- enriching training data by adding synthetic samples -- is a technique widely adopted in Computer Vision (CV) and Natural Language Processing (NLP) tasks to improve models performance.
no code implementations • 21 Oct 2023 • Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario Rossi
Data Augmentation (DA)-augmenting training data with synthetic samples-is wildly adopted in Computer Vision (CV) to improve models performance.
no code implementations • 7 Jan 2023 • Raphael Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi, Pietro Michiardi
Some tasks may benefit from being learned together while others may be detrimental to one another.
no code implementations • 13 Dec 2021 • Alessandro Finamore, James Roberts, Massimo Gallo, Dario Rossi
While Deep Learning (DL) technologies are a promising tool to solve networking problems that map to classification tasks, their computational complexity is still too high with respect to real-time traffic measurements requirements.
no code implementations • 25 May 2021 • Massimo Gallo, Alessandro Finamore, Gwendal Simon, Dario Rossi
The design of FENXI decouples forwarding operations and traffic analytics which operates at different granularities i. e., packet and flow levels.