Cesare Alippi

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 135

Top Venues

CoRR

IEEE Trans. Neural Networks Learn. Syst.

IJCNN

IEEE Comput. Intell. Mag.

Publications

Luca Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
Object-Centric Relational Representations for Image Generation. Trans. Mach. Learn. Res. 2024 (2024)
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)
Hongtian Chen, Zhigang Liu, Cesare Alippi, Biao Huang, Derong Liu
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. CoRR (2024)
Alessandro Manenti, Daniele Zambon, Cesare Alippi
Learning Latent Graph Structures and their Uncertainty. CoRR (2024)
Zhigang Liu, Cesare Alippi, Hongtian Chen, Derong Liu
Guest Editorial: Special Issue on Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (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)
Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi
Graph Neural Networks for High-Level Synthesis Design Space Exploration. ACM Trans. Design Autom. Electr. Syst. 28 (2) (2023)
Tommaso Marzi, Arshjot Khehra, Andrea Cini, Cesare Alippi
Feudal Graph Reinforcement Learning. CoRR (2023)
Andrea Cini, Daniele Zambon, Cesare Alippi
Sparse Graph Learning from Spatiotemporal Time Series. J. Mach. Learn. Res. 24 (2023)
Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Gabriele Aquaro, Stefano Binetti, Cesare Alippi, Giacomo Boracchi
Event Detection in Optical Signals via Domain Adaptation. EUSIPCO (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, Filippo Maria Bianchi, Cesare Alippi
Scalable Spatiotemporal Graph Neural Networks. AAAI (2023)
Luca Girolamo Butera, Andrea Cini, Alberto Ferrante, Cesare Alippi
Relational Inductive Biases for Object-Centric Image Generation. CoRR (2023)
Andrea Cini, Danilo Mandic, Cesare Alippi
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. 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)
Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Stefano Piciaccia, Alberto Tanzi, Stefano Binetti, Cesare Alippi, Giacomo Boracchi
Anomaly Detection in Optical Spectra VIA Joint Optimization. ICASSP (2023)
Filippo Leveni, Luca Magri, Cesare Alippi, Giacomo Boracchi
Hashing for Structure-Based Anomaly Detection. ICIAP (2) (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)
Cesare Alippi, Daniele Zambon
Graph Kalman Filters. CoRR (2023)
Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. CoRR (2022)
Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
Scalable Spatiotemporal Graph Neural Networks. CoRR (2022)
Kleanthis Malialis, Manuel Roveri, Cesare Alippi, Christos G. Panayiotou, Marios M. Polycarpou
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification. SSCI (2022)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tino
Input-to-State Representation in Linear Reservoirs Dynamics. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Luca Girolamo Butera, Alberto Ferrante, Mauro Jermini, Mauro Prevostini, Cesare Alippi
Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects. IEEE CAA J. Autom. Sinica 9 (2) (2022)
Ivan Marisca, Andrea Cini, Cesare Alippi
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. NeurIPS (2022)
Ivan Marisca, Andrea Cini, Cesare Alippi
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations. CoRR (2022)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Antonino Maria Rizzo, Luca Magri, Davide Rutigliano, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti, Giacomo Boracchi
Known and unknown event detection in OTDR traces by deep learning networks. Neural Comput. Appl. 34 (22) (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 Grattarola, Lorenzo Livi, Cesare Alippi, Richard Wennberg, Taufik A. Valiante
Seizure localisation with attention-based graph neural networks. Expert Syst. Appl. 203 (2022)
Daniele Zambon, Cesare Alippi
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs. NeurIPS (2022)
Simone Eandi, Andrea Cini, Slobodan Lukovic, Cesare Alippi
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting. IJCNN (2022)
Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini
A transfer-learning approach for corrosion prediction in pipeline infrastructures. Appl. Intell. 52 (7) (2022)
Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
Deep learning for time series forecasting: The electric load case. CAAI Trans. Intell. Technol. 7 (1) (2022)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Graph iForest: Isolation of anomalous and outlier graphs. IJCNN (2022)
Andrea Cini, Ivan Marisca, Cesare Alippi
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks. ICLR (2022)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli
Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. 22 (2021)
Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini
A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures. I2MTC (2021)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Learning Graph Cellular Automata. CoRR (2021)
Andrea Cini, Ivan Marisca, Cesare Alippi
Multivariate Time Series Imputation by Graph Neural Networks. CoRR (2021)
Davide Rutigliano, Giacomo Boracchi, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti
Event-Detection Deep Neural Network for OTDR Trace Analysis. EANN (2021)
Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
Understanding Pooling in Graph Neural Networks. CoRR (2021)
Simone Disabato, Manuel Roveri, Cesare Alippi
Distributed Deep Convolutional Neural Networks for the Internet-of-Things. IEEE Trans. Computers 70 (8) (2021)
Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration. CoRR (2021)
Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara Hammer
Graph Edit Networks. ICLR (2021)
Zhiwen Chen, Jiamin Xu, Cesare Alippi, Steven X. Ding, Yuri A. W. Shardt, Tao Peng, Chunhua Yang
Graph neural network-based fault diagnosis: a review. CoRR (2021)
Bo Zhao, Derong Liu, Cesare Alippi
Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure. IEEE Trans. Cybern. 51 (6) (2021)
Daniele Grattarola, Cesare Alippi
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]. IEEE Comput. Intell. Mag. 16 (1) (2021)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Learning Graph Cellular Automata. NeurIPS (2021)
Cesare Alippi
2021 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 16 (4) (2021)
Simone Disabato, Giuseppe Canonaco, Paul G. Flikkema, Manuel Roveri, Cesare Alippi
Birdsong Detection at the Edge with Deep Learning. SMARTCOMP (2021)
Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi
Deep learning for graphs. ESANN (2021)
Andrea Cini, Slobodan Lukovic, Cesare Alippi
Cluster-based Aggregate Load Forecasting with Deep Neural Networks. IJCNN (2020)
Giuseppe Canonaco, Manuel Roveri, Cesare Alippi, Fabrizio Podenzani, Antonio Bennardo, Marco Conti, Nicola Mancini
Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach. I2MTC (2020)
Haowei Lin, Bo Zhao, Derong Liu, Cesare Alippi
Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks. IEEE CAA J. Autom. Sinica 7 (4) (2020)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tiño
Input representation in recurrent neural networks dynamics. CoRR (2020)
Dongbin Zhao, Shukai Duan, Zheng Yan, Cesare Alippi
Advances in deep neural information processing. Neurocomputing 408 (2020)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Graph Random Neural Features for Distance-Preserving Graph Representations. ICML (2020)
Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi
Deep Reinforcement Learning with Weighted Q-Learning. CoRR (2020)
Daniele Grattarola, Cesare Alippi
Graph Neural Networks in TensorFlow and Keras with Spektral. CoRR (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)
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
Spectral Clustering with Graph Neural Networks for Graph Pooling. ICML (2020)
Cesare Alippi
2020 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 15 (1) (2020)
Filippo Leveni, Luca Magri, Giacomo Boracchi, Cesare Alippi
PIF: Anomaly detection via preference embedding. ICPR (2020)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi
Learn to Synchronize, Synchronize to Learn. CoRR (2020)
Simone Disabato, Manuel Roveri, Cesare Alippi
Distributed Deep Convolutional Neural Networks for the Internet-of-Things. CoRR (2019)
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)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Graph Neural Networks with convolutional ARMA filters. CoRR (2019)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Adversarial autoencoders with constant-curvature latent manifolds. Appl. Soft Comput. 81 (2019)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. CoRR (2019)
Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
Deep Learning for Time Series Forecasting: The Electric Load Case. CoRR (2019)
Pietro Verzelli, Cesare Alippi, Lorenzo Livi
Hyper-spherical Reservoirs for Echo State Networks. ICANN (Workshop) (2019)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Distance-Preserving Graph Embeddings from Random Neural Features. CoRR (2019)
Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
Mincut pooling in Graph Neural Networks. CoRR (2019)
Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR (2019)
Daniele Zambon, Cesare Alippi, Lorenzo Livi
Change-Point Methods on a Sequence of Graphs. IEEE Trans. Signal Process. 67 (24) (2019)
Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. Advances in Data Analysis with Computational Intelligence Methods (2018)
Daniele Grattarola, Lorenzo Livi, Cesare Alippi
Adversarial Autoencoders with Constant-Curvature Latent Manifolds. CoRR (2018)
Daniele Zambon, Lorenzo Livi, Cesare Alippi
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings. CoRR (2018)
Li Bu, Cesare Alippi, Dongbin Zhao
A pdf-Free Change Detection Test Based on Density Difference Estimation. IEEE Trans. Neural Networks Learn. Syst. 29 (2) (2018)
Pietro Verzelli, Lorenzo Livi, Cesare Alippi
A characterization of the Edge of Criticality in Binary Echo State Networks. CoRR (2018)
Francesco Regazzoni, Cesare Alippi, Ilia Polian
Security: the dark side of approximate computing? ICCAD (2018)
Cesare Alippi, Simone Disabato, Manuel Roveri
Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case. IPSN (2018)
Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. IEEE Trans. Neural Networks Learn. Syst. 29 (2) (2018)
Jianhua Ma, Cesare Alippi, Laurence T. Yang, Huansheng Ning, Kevin I-Kai Wang
Introduction to the IEEE CIS TC on Smart World (SWTC) [Society Briefs]. IEEE Comput. Intell. Mag. 13 (1) (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)
Stjepan Picek, Annelie Heuser, Cesare Alippi, Francesco Regazzoni
When Theory Meets Practice: A Framework for Robust Profiled Side-channel Analysis. IACR Cryptol. ePrint Arch. 2018 (2018)
Pietro Verzelli, Lorenzo Livi, Cesare Alippi
A characterization of the Edge of Criticality in Binary echo State Networks. MLSP (2018)

Cesare Alippi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Cesare Alippi