ALaRI Hang Glider

Search form

Education and Innovation in Embedded Systems Design

USI Università della Svizzera italiana, USI Faculty of Informatics, Advanced Learning and Research Institute USI Università della Svizzera italiana USI Faculty of Informatics USI Advanced Learning and Research Institute
Search by content:
Search by:
Export 11 results:
Author Title [ Type(Desc)] Year
Filters: Author is Lorenzo Livi  [Clear All Filters]
Conference Paper
Verzelli, P., L. Livi, and C. Alippi, "A characterization of the Edge of Criticality in Binary Echo State Networks", 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Aalborg, Denmark, 09/2018.
Bianchi, F. Maria, L. Livi, R. Jenssen, and C. Alippi, "Critical echo state network dynamics by means of Fisher information maximization", 2017 International Joint Conference on Neural Networks (IJCNN), May, 2017.
Zambon, D., L. Livi, and C. Alippi, "Detecting changes in sequences of attributed graphs", 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Nov, 2017.
Livi, L., and C. Alippi, "One-Class Classification Through Mutual Information Minimization", IEEE-INNS International Joint Conference on Neural Networks (IJCNN16), Vancouver, Canada, 07/2016.
Bianchi, F. Maria, L. Livi, A. Ferrante, J. Milosevic, and M. Malek, "Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs", IJCNN 2018 : International Joint Conference on Neural Networks, Rio, Brazil, IEEE, 07/2018.
Journal Article
Zambon, D., L. Livi, and C. Alippi, "Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings", IJCNN 2018 : International Joint Conference on Neural Networks, 07/2018.
Zambon, D., C. Alippi, and L. Livi, "Concept Drift and Anomaly Detection in Graph Streams", IEEE Transactions on Neural Networks and Learning Systems, vol. 29, issue 11, pp. 5592-5605, 11/2018.
Livi, L., F. Maria Bianchi, and C. Alippi, "Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization", IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 706-717, March, 2018.
Bianchi, F. Maria, L. Livi, and C. Alippi, "Investigating echo state networks dynamics by means of recurrence analysis", IEEE Transactions on Neural Networks and Learning Systems, vol. 29, pp. 427 - 439, 02/2018.
Bianchi, F. Maria, L. Livi, C. Alippi, and R. Jenssen, "Multiplex visibility graphs to investigate recurrent neural network dynamics", Nature-Scientific reports, vol. 7, pp. 44037-44049, 03/2017.
Livi, L., and C. Alippi, "One-class classifiers based on entropic spanning graphs", IEEE Transactions on Neural Networks and Learning Systems, vol. 28, issue 12, pp. 2846 - 2858, 11/2016, 2017.