Autoregressive Models for Sequences of Graphs.
D. Zambon, D. Grattarola, L. Livi, C. Alippi.
International Joint Conference on Neural Networks (2019).
Graph Neural Networks with Convolutional ARMA Filters.
F. M. Bianchi, D. Grattarola, L. Livi, C. Alippi.
Under review (2019).
Adversarial Autoencoders with Constant-Curvature Latent Manifolds.
D. Grattarola, L. Livi, C. Alippi.
Applied Soft Computing (2019).
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds.
D. Grattarola, D. Zambon, C. Alippi, L. Livi.
Under review (2018).
Deep Feature Extraction for Sample-Efficient Reinforcement Learning.
D. Grattarola.
Master's thesis (2017).
Content-Based Approaches for Cold-Start Job Recommendations.
M. Bianchi, F. Cesaro, F. Ciceri, M. Dagrada, A. Gasparin, D. Grattarola, I. Inajjar, A. M. Metelli, L. Cella.
Proceedings of the ACM Recsys Challenge (2017).
DOI: 10.1145/3124791.3124793