173 results on '"Alippi, Cesare"'
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2. Anomaly Detection in Optical Spectra VIA Joint Optimization
3. A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
4. Graph iForest: Isolation of anomalous and outlier graphs
5. Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting
6. Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning
7. Birdsong Detection at the Edge with Deep Learning
8. A Machine-Learning Approach for the Prediction of Internal Corrosion in Pipeline Infrastructures
9. Graph Neural Networks With Convolutional ARMA Filters.
10. PIF: Anomaly detection via preference embedding
11. Input-to-State Representation in Linear Reservoirs Dynamics.
12. Cluster-based Aggregate Load Forecasting with Deep Neural Networks
13. Corrosion Prediction in Oil and Gas Pipelines: a Machine Learning Approach
14. Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling.
15. Distributed Deep Convolutional Neural Networks for the Internet-of-Things.
16. Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure.
17. Autoregressive Models for Sequences of Graphs
18. Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes].
19. Change-Point Methods on a Sequence of Graphs.
20. A CHARACTERIZATION OF THE EDGE OF CRITICALITY IN BINARY ECHO STATE NETWORKS
21. Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings
22. Moving Convolutional Neural Networks to Embedded Systems: The AlexNet and VGG-16 Case
23. Detecting changes in sequences of attributed graphs
24. A spectrum-based adaptive sampling algorithm for smart sensing
25. Critical echo state network dynamics by means of Fisher information maximization
26. Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation
27. A lightweight and energy-efficient Internet-of-birds tracking system
28. Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds.
29. Preface to Incremental Clustering, Concept Drift and Novelty Detection
30. One-class classification through mutual information minimization
31. Ensemble LSDD-based change detection tests
32. Online model-free sensor fault identification and dictionary learning in Cyber-Physical Systems
33. 2020 IEEE CIS Awards [Society Briefs].
34. A Pdf-Free Change Detection Test for Data Streams Monitoring
35. Solving Multiobjective Optimization Problems in Unknown Dynamic Environments: An Inverse Modeling Approach.
36. Concept Drift and Anomaly Detection in Graph Streams.
37. Credit card fraud detection and concept-drift adaptation with delayed supervised information
38. Lightweight cryptography for constrained devices
39. Learning causal dependencies to detect and diagnose faults in sensor networks
40. An Incremental Change Detection Test Based on Density Difference Estimation.
41. The (Not) Far-Away Path to Smart Cyber-Physical Systems: An Information-Centric Framework.
42. A Cloud to the Ground: The New Frontier of Intelligent and Autonomous Networks of Things.
43. Change detection in streams of signals with sparse representations
44. Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy.
45. Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization.
46. A pdf-Free Change Detection Test Based on Density Difference Estimation.
47. Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis.
48. One-Class Classifiers Based on Entropic Spanning Graphs.
49. Credit card fraud detection and concept-drift adaptation with delayed supervised information.
50. A DAG-based Design Approach for Reconfigugrable VLIW Processors
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