Daniele Zambon

47 papers A* 7B 6Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessment of spatio-temporal predictors in the presence of missing and heterogeneous data. Neurocomputing Daniele Zambon, Cesare Alippi
2025	J	`jnl`	BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training. CoRR Luca Colombo, Fabrizio Pittorino, Daniele Zambon, Carlo Baldassi, Manuel Roveri, Cesare Alippi
2025	J	`jnl`	Graph Deep Learning for Time Series Forecasting. ACM Comput. Surv. Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2025	A*	`conf`	Learning Latent Graph Structures and their Uncertainty. ICML Alessandro Manenti, Daniele Zambon, Cesare Alippi
2025	J	`jnl`	Online Continual Graph Learning. CoRR Giovanni Donghi, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin
2025	J	`jnl`	PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning. CoRR Daniele Zambon, Michele Cattaneo, Ivan Marisca, Jonas Bhend, Daniele Nerini, Cesare Alippi
2025	—	`conf`	Temporal Graph Learning Workshop. KDD (2) Shenyang Huang, Daniele Zambon, Andrea Cini, Farimah Poursafaei, Jacob Chmura, Julia Gastinger, Reihaneh Rabbany, Michael M. Bronstein
2025	J	`jnl`	The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning. CoRR Giovanni Donghi, Daniele Zambon, Luca Pasa, Cesare Alippi, Nicolò Navarin
2024	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2024	A*	`conf`	Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. ICLR Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
2024	J	`jnl`	Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations. CoRR Giovanni de Felice, Andrea Cini, Daniele Zambon, Vladimir V. Gusev, Cesare Alippi
2024	J	`jnl`	Learning Latent Graph Structures and their Uncertainty. CoRR Alessandro Manenti, Daniele Zambon, Cesare Alippi
2024	A*	`conf`	Temporal Graph ODEs for Irregularly-Sampled Time Series. IJCAI Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
2024	J	`jnl`	Temporal Graph ODEs for Irregularly-Sampled Time Series. CoRR Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
2024	J	`jnl`	Understanding Pooling in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
2023	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2023	J	`jnl`	Graph Deep Learning for Time Series Forecasting. CoRR Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2023	J	`jnl`	Graph Kalman Filters. CoRR Cesare Alippi, Daniele Zambon
2023	B	`conf`	Graph Representation Learning. ESANN Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon
2023	J	`jnl`	Graph state-space models. CoRR Daniele Zambon, Andrea Cini, Lorenzo Livi, Cesare Alippi
2023	J	`jnl`	Sparse Graph Learning from Spatiotemporal Time Series. J. Mach. Learn. Res. Andrea Cini, Daniele Zambon, Cesare Alippi
2023	A*	`conf`	Taming Local Effects in Graph-based Spatiotemporal Forecasting. NeurIPS Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2023	J	`jnl`	Taming Local Effects in Graph-based Spatiotemporal Forecasting. CoRR Andrea Cini, Ivan Marisca, Daniele Zambon, Cesare Alippi
2023	J	`jnl`	Where and How to Improve Graph-based Spatio-temporal Predictors. CoRR Daniele Zambon, Cesare Alippi
2022	A*	`conf`	AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs. NeurIPS Daniele Zambon, Cesare Alippi
2022	J	`jnl`	AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs. CoRR Daniele Zambon, Cesare Alippi
2022	B	`conf`	Deep Learning for Graphs. ESANN Davide Bacciu, Federico Errica, Nicolò Navarin, Luca Pasa, Daniele Zambon
2022	B	`conf`	Graph iForest: Isolation of anomalous and outlier graphs. IJCNN Daniele Zambon, Lorenzo Livi, Cesare Alippi
2022	J	`jnl`	Sparse Graph Learning for Spatiotemporal Time Series. CoRR Andrea Cini, Daniele Zambon, Cesare Alippi
2022	B	`conf`	Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. IJCNN Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin
2021	—	`ch.`	Erkennung von Anomalien und Veränderung in Graphsequenzen. Ausgezeichnete Informatikdissertationen Daniele Zambon
2021	A*	`conf`	Graph Edit Networks. ICLR Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer
2021	J	`jnl`	Understanding Pooling in Graph Neural Networks. CoRR Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
2020	J	`jnl`	Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. IEEE Trans. Neural Networks Learn. Syst. Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi
2020	A*	`conf`	Graph Random Neural Features for Distance-Preserving Graph Representations. ICML Daniele Zambon, Cesare Alippi, Lorenzo Livi
2019	B	`conf`	Autoregressive Models for Sequences of Graphs. IJCNN Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Autoregressive Models for Sequences of Graphs. CoRR Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Change-Point Methods on a Sequence of Graphs. IEEE Trans. Signal Process. Daniele Zambon, Cesare Alippi, Lorenzo Livi
2019	J	`jnl`	Distance-Preserving Graph Embeddings from Random Neural Features. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	B	`conf`	Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. IJCNN Daniele Zambon, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. CoRR Daniele Zambon, Lorenzo Livi, Cesare Alippi
2018	J	`jnl`	Change Point Methods on a Sequence of Graphs. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	J	`jnl`	Concept Drift and Anomaly Detection in Graph Streams. IEEE Trans. Neural Networks Learn. Syst. Daniele Zambon, Cesare Alippi, Lorenzo Livi
2018	J	`jnl`	Learning Graph Embeddings on Constant-Curvature Manifolds for Change Detection in Graph Streams. CoRR Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi
2017	J	`jnl`	Concept Drift and Anomaly Detection in Graph Streams. CoRR Daniele Zambon, Cesare Alippi, Lorenzo Livi
2017	—	`conf`	Detecting changes in sequences of attributed graphs. SSCI Daniele Zambon, Lorenzo Livi, Cesare Alippi
2016	—	`conf`	ECG Monitoring in Wearable Devices by Sparse Models. ECML/PKDD (3) Diego Carrera, Beatrice Rossi, Daniele Zambon, Pasqualina Fragneto, Giacomo Boracchi