Follow
Daniele Zambon
Title
Cited by
Cited by
Year
Understanding pooling in graph neural networks
D Grattarola, D Zambon, FM Bianchi, C Alippi
IEEE transactions on neural networks and learning systems, 2022
802022
Concept drift and anomaly detection in graph streams
D Zambon, C Alippi, L Livi
IEEE transactions on neural networks and learning systems 29 (11), 5592-5605, 2018
562018
A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection
M Jin, HY Koh, Q Wen, D Zambon, C Alippi, GI Webb, I King, S Pan
arXiv preprint arXiv:2307.03759, 2023
512023
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
D Grattarola, D Zambon, C Alippi, L Livi
IEEE Transactions on Neural Networks and Learning Systems, 2019
48*2019
Ecg monitoring in wearable devices by sparse models
D Carrera, B Rossi, D Zambon, P Fragneto, G Boracchi
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
192016
Graph Random Neural Features for Distance-Preserving Graph Representations
D Zambon, C Alippi, L Livi
International Conference on Machine Learning 119, 10968--10977, 2020
162020
Graph edit networks
B Paassen, D Grattarola, D Zambon, C Alippi, BE Hammer
International Conference on Learning Representations, 2020
152020
Change-point methods on a sequence of graphs
D Zambon, C Alippi, L Livi
IEEE Transactions on Signal Processing 67 (24), 6327-6341, 2019
112019
Detecting changes in sequences of attributed graphs
D Zambon, L Livi, C Alippi
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017
112017
Taming local effects in graph-based spatiotemporal forecasting
A Cini, I Marisca, D Zambon, C Alippi
Advances in Neural Information Processing Systems 36, 2024
92024
Autoregressive models for sequences of graphs
D Zambon, D Grattarola, L Livi, C Alippi
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
92019
Sparse graph learning from spatiotemporal time series
A Cini, D Zambon, C Alippi
Journal of Machine Learning Research 24 (242), 1-36, 2023
82023
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings
D Zambon, L Livi, C Alippi
2018 International Joint Conference on Neural Networks (IJCNN), 2018
82018
Method for the detecting electrocardiogram anomalies and corresponding system
B Rossi, P Fragneto, D Carrera, G Boracchi, D Zambon
US Patent 10,610,162, 2020
62020
Graph Deep Learning for Time Series Forecasting
A Cini, I Marisca, D Zambon, C Alippi
arXiv preprint arXiv:2310.15978, 2023
42023
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs
D Zambon, C Alippi
Advances in Neural Information Processing Systems 35, 11975-11986, 2022
3*2022
Understanding catastrophic forgetting of gated linear networks in continual learning
M Munari, L Pasa, D Zambon, C Alippi, N Navarin
2022 International joint conference on neural networks (IJCNN), 1-8, 2022
32022
Graph iForest: Isolation of anomalous and outlier graphs
D Zambon, L Livi, C Alippi
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
32022
Graph Kalman Filters
C Alippi, D Zambon
arXiv preprint arXiv:2303.12021, 2023
22023
Method for the detecting electrocardiogram anomalies and corresponding system
B Rossi, P Fragneto, D Zambon, D Carrera, G Boracchi
US Patent 10,595,788, 2020
22020
The system can't perform the operation now. Try again later.
Articles 1–20