16 citations · 18 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
Davide Buffelli, Efthymia Tsamoura
Several techniques have recently aimed to improve the performance of deep learning models for Scene Graph Generation (SGG) by incorporating background knowledge. State-of-the-art t…
cs.LG2020★ 16 cited
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings
Davide Buffelli, Fabio Vandin
Graph Neural Networks (GNNs) are a framework for graph representation learning, where a model learns to generate low dimensional node embeddings that encapsulate structural and fea…
cs.LG2020
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation
Davide Buffelli, Fabio Vandin
Sensor-based human activity recognition (HAR) requires to predict the action of a person based on sensor-generated time series data. HAR has attracted major interest in the past fe…