68 citations · 188 across the 25 of their papers we have counts for
5 papers · 1 filter
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
Alessio Gravina, Davide Bacciu, Claudio Gallicchio
Deep Graph Networks (DGNs) currently dominate the research landscape of learning from graphs, due to their efficiency and ability to implement an adaptive message-passing scheme be…
Continual Learning for Human State Monitoring
Federico Matteoni, Andrea Cossu, Claudio Gallicchio +2
Continual Learning (CL) on time series data represents a promising but under-studied avenue for real-world applications. We propose two new CL benchmarks for Human State Monitoring…
Federated Adaptation of Reservoirs via Intrinsic Plasticity
Valerio De Caro, Claudio Gallicchio, Davide Bacciu
We propose a novel algorithm for performing federated learning with Echo State Networks (ESNs) in a client-server scenario. In particular, our proposal focuses on the adaptation of…
Deep Features for CBIR with Scarce Data using Hebbian Learning
Gabriele Lagani, Davide Bacciu, Claudio Gallicchio +3
Features extracted from Deep Neural Networks (DNNs) have proven to be very effective in the context of Content Based Image Retrieval (CBIR). In recent work, biologically inspired \…
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
Valerio De Caro, Saira Bano, Achilles Machumilane +11
This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving per…