| 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 | 44 | 2018 |
| 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 | 31* | 2019 |
| Understanding pooling in graph neural networks D Grattarola, D Zambon, FM Bianchi, C Alippi IEEE Transactions on Neural Networks and Learning Systems, 2022 | 18 | 2022 |
| 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 | 17 | 2016 |
| Detecting changes in sequences of attributed graphs D Zambon, L Livi, C Alippi 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 10 | 2017 |
| Graph edit networks B Paassen, D Grattarola, D Zambon, C Alippi, BE Hammer International Conference on Learning Representations, 2021 | 9 | 2021 |
| Graph Random Neural Features for Distance-Preserving Graph Representations D Zambon, C Alippi, L Livi International Conference on Machine Learning 119, 10968--10977, 2020 | 8* | 2020 |
| Change-point methods on a sequence of graphs D Zambon, C Alippi, L Livi IEEE Transactions on Signal Processing 67 (24), 6327-6341, 2019 | 7 | 2019 |
| 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 | 7 | 2018 |
| 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 | 6 | 2020 |
| 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 | 6 | 2019 |
| 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 | 1 | 2022 |
| AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs D Zambon, C Alippi arXiv preprint arXiv:2204.11135, 2022 | 1 | 2022 |
| 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 | 1 | 2020 |
| Graph state-space models D Zambon, A Cini, L Livi, C Alippi arXiv preprint arXiv:2301.01741, 2023 | | 2023 |
| 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 | | 2022 |
| Sparse Graph Learning for Spatiotemporal Time Series A Cini, D Zambon, C Alippi arXiv preprint arXiv:2205.13492, 2022 | | 2022 |
| Erkennung von Anomalien und Veränderung in Graphsequenzen D Zambon D22, 2022 | | 2022 |
| METHOD FOR THE DETECTING ELECTROCARDIOGRAM ANOMALIES AND CORRESPONDING SYSTEM G Boracchi, D Carrera, P Fragneto, B Rossi, D Zambon | | 2016 |
| AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs D Zambon, C Alippi Advances in Neural Information Processing Systems, 0 | | |
Cesare AlippiPolitecnico di Milano, Universitā della Svizzera italianaVerified email at polimi.it
