Daniele Zambon

http://usi.to/w5k

Pubblicazioni

Articolo pubblicato in rivista scientifica (5)

Grattarola D., Zambon D., Bianchi F. M., Alippi C. (2024) Understanding Pooling in Graph Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, 35 (2):2708-2718. ISSN 2162-2388
Cini A., Zambon D., Alippi C. (2023) Sparse Graph Learning from Spatiotemporal Time Series, Journal of Machine Learning Research, 24 (242):1-36. ISSN 1533-7928
Grattarola D., Zambon D., Livi L., Alippi C. (2020) Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds, IEEE Transactions on Neural Networks and Learning Systems, 31 (6):1856-1869. ISSN 2162-237X, 2162-2388
Zambon D., Alippi C., Livi L. (2019) Change-Point Methods on a Sequence of Graphs, IEEE Transactions on Signal Processing, 67 (24):6327-6341. ISSN 1941-0476
Zambon D., Alippi C., Livi L. (2018) Concept Drift and Anomaly Detection in Graph Streams, IEEE Transactions on Neural Networks and Learning Systems, 29 (11):5592-5605. ISSN 2162-2388

Contributo in atti di conferenza (10)

De Felice G., Cini A., Zambon D., Gusev V., Alippi C. (2024) Graph-Based Virtual Sensing from Sparse and Partial Multivariate Observations. The Twelfth International Conference on Learning Representations
Gravina A., Zambon D., Bacciu D., Alippi C. (2024) Temporal Graph ODEs for Irregularly-Sampled Time Series. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization
Cini A., Marisca I., Zambon D., Alippi C. (2023) Taming Local Effects in Graph-based Spatiotemporal Forecasting. Advances in Neural Information Processing Systems. Curran Associates, Inc.
Bacciu D., Errica F., Navarin N., Pasa L., Zambon D. (2022) Deep Learning for Graphs. 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022. ISBN 978-2-87587-084-1
Munari M., Pasa L., Zambon D., Alippi C., Navarin N. (2022) Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. 2022 International Joint Conference on Neural Networks (IJCNN)
Paassen B., Grattarola D., Zambon D., Alippi C., Hammer B. E. (2021) Graph Edit Networks. International Conference on Learning Representations (ICLR). International conference on learning representations (ICLR). Virtual. 3-7 May
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., Grattarola D., Livi L., Alippi C. (2019) Autoregressive Models for Sequences of Graphs. IEEE International Joint Conference on Neural Networks
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