3 citations · 3 across the 2 of their papers we have counts for
4 papers
Tiny Machine Learning for Concept Drift
Simone Disabato, Manuel Roveri
Tiny Machine Learning (TML) is a new research area whose goal is to design machine and deep learning techniques able to operate in Embedded Systems and IoT units, hence satisfying…
RECKONition: a NLP-based system for Industrial Accidents at Work Prevention
Patrizia Agnello, Silvia M. Ansaldi, Emilia Lenzi +2
Extracting patterns and useful information from Natural Language datasets is a challenging task, especially when dealing with data written in a language different from English, lik…
Time-Variant Variational Transfer for Value Functions
Giuseppe Canonaco, Andrea Soprani, Manuel Roveri +1
In most of the transfer learning approaches to reinforcement learning (RL) the distribution over the tasks is assumed to be stationary. Therefore, the target and source tasks are i…
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service
Simone Disabato, Alessandro Falcetta, Alessio Mongelluzzo +1
Deep-learning-as-a-service is a novel and promising computing paradigm aiming at providing machine/deep learning solutions and mechanisms through Cloud-based computing infrastructu…