Daniele Zambon

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Change Detection

Graph Representation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
Temporal Graph ODEs for Irregularly-Sampled Time Series. CoRR (2024)
Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. CoRR (2024)
Alessandro Manenti, Daniele Zambon, Cesare Alippi
Learning Latent Graph Structures and their Uncertainty. CoRR (2024)
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
Understanding Pooling in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. ICLR (2024)
Daniele Zambon, Cesare Alippi
Where and How to Improve Graph-based Spatio-temporal Predictors. CoRR (2023)
Andrea Cini, Daniele Zambon, Cesare Alippi
Sparse Graph Learning from Spatiotemporal Time Series. J. Mach. Learn. Res. 24 (2023)
Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR (2023)
Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
Taming Local Effects in Graph-based Spatiotemporal Forecasting. NeurIPS (2023)
Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
Taming Local Effects in Graph-based Spatiotemporal Forecasting. CoRR (2023)
Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi
Graph state-space models. CoRR (2023)
Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
Graph Deep Learning for Time Series Forecasting. CoRR (2023)
Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon
Graph Representation Learning. ESANN (2023)
Cesare Alippi, Daniele Zambon
Graph Kalman Filters. CoRR (2023)
Davide Bacciu, Federico Errica, Nicolò Navarin, Luca Pasa, Daniele Zambon
Deep Learning for Graphs. ESANN (2022)
Andrea Cini, Daniele Zambon, Cesare Alippi
Sparse Graph Learning for Spatiotemporal Time Series. CoRR (2022)
Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. IJCNN (2022)
Daniele Zambon, Cesare Alippi
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs. CoRR (2022)
Daniele Zambon, Cesare Alippi
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs. NeurIPS (2022)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Graph iForest: Isolation of anomalous and outlier graphs. IJCNN (2022)
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
Understanding Pooling in Graph Neural Networks. CoRR (2021)
Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer
Graph Edit Networks. ICLR (2021)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Graph Random Neural Features for Distance-Preserving Graph Representations. ICML (2020)
Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Autoregressive Models for Sequences of Graphs. CoRR (2019)
Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Autoregressive Models for Sequences of Graphs. IJCNN (2019)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Distance-Preserving Graph Embeddings from Random Neural Features. CoRR (2019)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Change-Point Methods on a Sequence of Graphs. IEEE Trans. Signal Process. 67 (24) (2019)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. CoRR (2018)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. IJCNN (2018)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Concept Drift and Anomaly Detection in Graph Streams. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Change Point Methods on a Sequence of Graphs. CoRR (2018)
Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi
Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR (2018)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Detecting changes in sequences of attributed graphs. SSCI (2017)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Concept Drift and Anomaly Detection in Graph Streams. CoRR (2017)
Diego Carrera, Beatrice Rossi, Daniele Zambon, Pasqualina Fragneto, Giacomo Boracchi
ECG Monitoring in Wearable Devices by Sparse Models. ECML/PKDD (3) (2016)