Daniele Zambon
http://usi.to/w5k
Pubblicazioni
Articolo pubblicato in rivista scientifica (6)
- 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 ( February ))
- Cini A., Zambon D., Alippi C. (2023) Sparse Graph Learning from Spatiotemporal Time Series, Journal of Machine Learning Research, 24 (242)
- 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 ( June ))
- 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
- Zambon D., Alippi C., Livi L. (2019) Change-Point Methods on a Sequence of Graphs, IEEE Transactions on Signal Processing, 67 (24)
- 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)
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 convegno (11)
- 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.
- 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)
- 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
- 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
- Alippi C., Zambon D., Livi L. (2019) Graph Embeddings from Random Neural Features. Advances in Neural Information Processing System (NeurIPS), Graph Representation Learning Workshop
- 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
