Daniele Zambon
http://usi.to/w5k
Pubblicazioni
Articolo pubblicato in rivista scientifica (3)
- Grattarola D., Zambon D., Livi L., Alippi C. (2019) Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds, IEEE Transactions on Neural Networks and Learning Systems:1-14
- Zambon D., Alippi C., Livi L. (2019) Change-Point Methods on a Sequence of Graphs, IEEE Transactions on Signal Processing:6327-6341
- Zambon D., Alippi C., Livi L. (2018) Concept Drift and Anomaly Detection in Graph Streams, IEEE Transactions on Neural Networks and Learning Systems:5592-5605. ISSN 2162-2388
Atti di conferenza (1)
- Zambon D., Grattarola D., Livi L., Alippi C. (2019) Autoregressive Models for Sequences of Graphs. IEEE. IEEE International Joint Conference on Neural Networks
Contributo in atti di conferenza (4)
- Paassen B., Grattarola D., Zambon D., Alippi C., Hammer B. E. (2021) Graph Edit Networks. International Conference on Learning Representations (ICLR)
- Zambon D., Alippi C., Livi L. (2020) Graph Random Neural Features for Distance-Preserving Graph Representations. Proceedings of the 37th International Conference on Machine Learning (ICML). PMLR. Proceedings of Machine Learning Research. Virtual
- Zambon D., Livi L., Alippi C. (2018) Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. 2018 International Joint Conference on Neural Networks. 2018 World Congress on Computational Intelligence. Rio de Janeiro, Brazil. 8-13 July 2018
- Zambon D., Livi L., Alippi C. (2017) Detecting changes in sequences of attributed graphs. 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE. IEEE Symposium Series on Computational Intelligence. Honolulu, Hawaii, USA. 27 Nov.-1 Dec. 2017. ISBN 9781538627266
